Selected Publications
Please refer to our ELLIS Unit's Google Scholar for a complete list of references, or to each individual researcher's Google Scholar page.2024
Journal Articles
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AiroTouch: Enhancing Telerobotic Assembly through Naturalistic Haptic Feedback of Tool Vibrations
Frontiers in Robotics and AI, 11, pp. 1–15, 2024.
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Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research
Proceedings of the ACM on Human-Computer Interaction (PACM HCI), , pp. 1–42, 2024.
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Pose2Gaze: Eye-body Coordination during Daily Activities for Gaze Prediction from Full-body Poses
IEEE Transactions on Visualization and Computer Graphics (TVCG), , pp. 1–12, 2024.
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HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes
IEEE Transactions on Visualization and Computer Graphics (TVCG), , pp. 1–11, 2024.
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Robust Surface Recognition with the Maximum Mean Discrepancy: Degrading Haptic-Auditory Signals through Bandwidth and Noise
IEEE Transactions on Haptics, 17(1), pp. 58–65, 2024.
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Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback
Scientific Reports, 14(10564), pp. 1–18, 2024.
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L2XGNN: Learning to Explain Graph Neural Networks
Machine Learning Journal, , 2024.
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Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials
NPJ Computational Materials, , 2024.
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State augmented constrained reinforcement learning: Overcoming the limitations of learning with rewards
IEEE Trans. on Autom. Control., , pp. , 2024.
Conference Papers
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VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal GRaphs
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 5805–5814, 2024.
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OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog
Proceedings of the 31st Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), pp. 1–11, 2024.
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NPCS: Native Provenance Computation for SPARQL
Proceedings of the ACM Web Conference 2024 (WWW ’24), May13–17, 2024, Singapore, Singapore, 2024.
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Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1–16, 2024.
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Neural Reasoning About Agents’ Goals, Preferences, and Actions
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.
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Constrained sampling with primal-dual Langevin Monte Carlo
Conference on Neural Information Processing Systems~(NeurIPS), 2024.
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Willkommens-Merkel, Chaos-Johnson, and Tore-Klose: Modeling the Evaluative Meaning of German Personal Name Compounds
, 2024.
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Near-optimal solutions of constrained learning problems
International Conference on Learning Representations (ICLR), 2024.
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Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Proceedings of the 12th International Conference on Learning Representations (ICLR 2024), 2024.
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Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations
Proceedings of the 41st International Conference on Machine Learning (ICML 2024), 2024.
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Image Inpainting via Tractable Steering of Diffusion Models
Proceedings of the 12th International Conference on Learning Representations (ICLR 2024), 2024.
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What Can Diachronic Contexts and Topics Tell Us about the Present-Day Compositionality of English Noun Compounds?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 17449–17458, 2024.
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Semantics of Multiword Expressions in Transformer-Based Models: A Survey
, 2024.
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Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Proceedings of the 41st International Conference on Machine Learning (ICML 2024), 2024.
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HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.
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Navigating Open Set Scenarios for Skeleton-based Action Recognition
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.
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Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler
Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS2024), 2024.
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VOLIMET: A Parallel Corpus of Literal and Metaphorical Verb-Object Pairs for English–German and English–French
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), pp. 222–237, 2024.
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Probabilistically Rewired Message-Passing Neural Networks
Proceedings of the 12th International Conference on Learning Representations (ICLR 2024), 2024.
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Probabilistic Graph Rewiring via Virtual Nodes
Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS2024), 2024.
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More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 14379–14393, 2024.
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The DURel Annotation Tool: Human and Computational Measurement of Semantic Proximity, Sense Clusters and Semantic Change
, 2024.
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From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries
Proceedings of the ACM Web Conference 2024, WWW 2024, Singapore, 13 - 17 May 2024, 2024.
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Unveiling the Mystery of Visual Attributes of Concrete and Abstract Concepts: Variability, Nearest Neighbors, and Challenging Categories
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024.
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Accelerating Transformers with Spectrum-Preserving Token Merging
Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS2024), 2024.
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SalChartQA: Question-driven Saliency on Information Visualisations
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–14, 2024.
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Fuzz4all: Universal fuzzing with large language models
Proceedings of the IEEE/ACM ICSE, 2024.
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NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.
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Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS2024), 2024.
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Mouse2Vec: Learning Reusable Semantic Representations of Mouse Behaviour
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–17, 2024.
2023
Journal Articles
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Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation
Advanced Intelligent Systems, , 2023.
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Constrained Learning with Non-Convex Losses
IEEE Trans. on Inf. Theory, 69[3], pp. 1739–1760, 2023.
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A framework and benchmark for deep batch active learning for regression
Journal of Machine Learning Research, 24(164), pp. 1–81, 2023.
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Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test
IEEE Transactions on Automation Science and Engineering, , pp. 1–16, 2023.
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Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks
IEEE Transactions on Automation Science and Engineering, 20(1), pp. 425–439, 2023.
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Distributed Universal Adaptive Networks
IEEE Trans. on Signal Process., 71, pp. 1817–1832, 2023.
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SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
IEEE Robotics and Automation Letters, , pp. 1–8, 2023.
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Safe policies for reinforcement learning via primal-dual methods
IEEE Trans. on Autom. Control., 68[3], pp. 1321–1336, 2023.
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Transferability Properties of Graph Neural Networks
IEEE Trans. on Signal Process., 71, pp. 3474–3489, 2023.
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Adaptive Clustering Using Kernel Density Estimators
Journal of Machine Learning Research, 24, pp. 1–56, 2023.
Conference Papers
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SIMPLE: A Gradient Estimator for k-Subset Sampling
Proceedings of the 11th International Conference on Learning Representations (ICLR), 2023.
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ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023.
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When to Say What: Learning to Find Condition-Message Inconsistencies
Proceedings of the 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp. 868–880, 2023.
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Wear Your Heart on Your Sleeve: Users Prefer Robots with Emotional Reactions to Touch and Ambient Moods
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 1914–1921, 2023.
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Learning Globally Smooth Functions on Manifolds
Proceedings of the International Conference on Machine Learning (ICML), 2023.
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Learning Globally Smooth Functions on Manifolds
Proceedings of the International Conference on Machine Learning (ICML), 2023.
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Beware of the unexpected: Bimodal taint analysis
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 211–222, 2023.
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Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. , 2023.
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Reconstructing Signing Avatars from Video Using Linguistic Priors
Proceedings of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 12791–12801, 2023.
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Learning Disentangled Discrete Representations
Proceedings of the 34th European Conference on Machine Learning (ECML 2023), 2023.
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Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models
Proceedings of the ACM Web Conference, pp. , 2023.
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Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Advances in Neural Information Processing Systems, pp. 20763–20826, 2023.
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CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice Expressions
, 2023.
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Emotional Framing in the Spreading of False and True Claims
Proceedings of the 15th ACM Web Science Conference, pp. , 2023.
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Resilient Constrained Learning
Conference on Neural Information Processing Systems (NeurIPS), 2023.
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To Split or Not to Split: Composing Compounds in Contextual Vector Spaces
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 16131–16136, 2023.
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Investigating the Nature of Disagreements on Mid-Scale Ratings: A Case Study on the Abstractness-Concreteness Continuum
Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), pp. 70–86, 2023.
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A Systematic Search for Compound Semantics in Pretrained BERT Architectures
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. , 2023.
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Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Proceedings of the 37th Conference on Artificial Intelligence (AAAI), 2023.
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Vulgen: Realistic vulnerability generation via pattern mining and deep learning
Proceedings of the 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE), pp. 2527–2539, 2023.
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Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection
Proceedings of the International Conference on Machine Learning (ICML), 2023.
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JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models
Proceedings of the UAI Conference, 2023.
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Meta-Uncertainty in Bayesian Model Comparison
Proceedings of the AISTATS Conference, 2023.
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Lexecutor: Learning-guided execution
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 1522–1534, 2023.
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Learning Neural PDE Solvers with Parameter-Guided Channel Attention
Proceedings of the International Conference on Machine Learning (ICML), 2023.
2022
Journal Articles
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Improved Classification Rates for Localized SVMs
Journal of Machine Learning Research, 23(165), pp. 1–59, 2022.
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In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures
ACM Transactions on Human-Robot Interaction Special Issue on Designing the Robot Body: Critical Perspectives on Affective Embodied Interaction (THRI), , 2022.
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Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
Journal of Machine Learning Research, 23(181), pp. 1–82, 2022.
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Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks
IEEE Transactions on Automation Science and Engineering (TASE), , 2022.
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Neural Software Analysis
Communications of the ACM, 65(1), pp. 86–96, 2022.
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A Soft Thumb-sized Vision-based Sensor with Accurate All-round Force Perception
Nature Machine Intelligence, 4, 2022.
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Distributional Measures of Semantic Abstraction
Frontiers in Artificial Intelligence: Language and Computation, 4(796756), 2022.
Conference Papers
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Neuro-Symbolic Visual Dialog
Proceedings of the 29th International Conference on Computational Linguistics (COLING), pp. 1–11, 2022.
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Tensor-based Graph Modularity for Text Data Clustering
Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1–5, 2022.
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Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
Proceedings of the Artificial Intelligence and Statistics (AISTATS) Conference Proceedings, pp. 1–23, 2022.
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CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1–12, 2022.
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Investigating Independence vs. Control: Agenda-Setting in Russian News Coverage on Social Media
Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC), pp. 5314–5323, 2022.
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BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
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Modular and Iterative Multilingual Open Information Extraction
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
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Finding the Dwarf: Recovering Precise Types from WebAssembly Binaries
Proceedings of the 43rd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), pp. 1–16, 2022.
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Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study
Proceedings of the ACM Symposium on the Foundations of Software Engineering (FSE), pp. 1–13, 2022.
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Utilizing Expert Features for Contrastive Learning of Time-Series Representations
Proceedings of the 39th International Conference on Machine Learning (ICML), pp. 1–21, 2022.
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SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
Proceedings of the Tenth International Conference on Learning Representations (ICLR), pp. 1–24, 2022.
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Robot, Pass Me the Tool: Handle Visibility Facilitates Task-oriented Handovers
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 256–264, 2022.
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Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering (ICSE), pp. 1–13, 2022.
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Ordered Subgraph Aggregation Networks
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.
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PDEBENCH: An Extensive Benchmark for Scientific Machine Learning
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.
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Hyperbolic Embedding Inference for Structured Multi-Label Prediction
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.
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Faithful Embeddings for EL++ Knowledge Bases
Proceedings of the 21st International Semantic Web Conference (ISWC2022), pp. 1–18, 2022.
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Ultrahyperbolic Knowledge Graph Embeddings
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 1–10, 2022.
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Pseudo-Riemannian Graph Convolutional Networks
Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.
2021
Journal Articles
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Amortized Bayesian Model Comparison with Evidental Deep Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (), pp. 1–12, 2021.
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Rank-normalization, Folding, and Localization: An Improved Rhat for Assessing Convergence of MCMC (with discussion)
Bayesian Analysis, 16(2), pp. 667–718, 2021.
Conference Papers
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Efficient Learning of Discrete-Continuous Computation Graphs
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), pp. 1–13, 2021.
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On the universality of the Double Descent peak in ridgeless regression
Proceedings of the International Conference on Learning Representations (ICLR), 2021.
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Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 4968–4977, 2021.
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Explaining Neural Matrix Factorization with Gradient Rollback
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 4987–4995, 2021.
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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), pp. 1–13, 2021.
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Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 867–879, 2021.
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Semantic Bug Seeding: A Learning-based Approach for Creating Realistic Bugs
Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering ESEC/FSE, pp. 906–918, 2021.
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Neural Photofit: Gaze-based Mental Image Reconstruction
Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 245–254, 2021.
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IdBench: Evaluating Semantic Representations of Identifier Names in Source Code
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering (ICSE), pp. 562–573, 2021.
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Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Proceedings of the Ninth International Conference on Learning Representations (ICLR), 2021.
2020
Journal Articles
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Approximate Leave-future-out Cross-validation for Bayesian Time Series Models
Journal of Statistical Computation and Simulation, 90(14), pp. 2499–2523, 2020.
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Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm
Journal of Machine Learning Research (JMLR), 21, pp. 1–38, 2020.
Conference Papers
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Quantification of Users’ Visual Attention During Everyday Mobile Device Interactions
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–14, 2020.
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Flexible Prior Elicitation via the Prior Predictive Distribution
Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1129–1138, 2020.
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Predicting Degrees of Technicality in Automatic Terminology Extraction
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 2883–2889, 2020.
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TypeWriter: Neural Type Prediction with Search-based Validation
Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), pp. 209–220, 2020.
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Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), pp. 1–15, 2020.
2019
Journal Articles
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Getafix: Learning to Fix Bugs Automatically
Proceedings of the ACM on Programming Languages, 3(OOPSLA), pp. 159:1–159:27, 2019.
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Learning Rates for Kernel-Based Expectile Regression
Machine Learning, 108, pp. 203–227, 2019.
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MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(1), pp. 162–175, 2019.
Conference Papers
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Learning Discrete Structures for Graph Neural Networks
Proceedings of the 36th International Conference on Machine Learning (ICML), pp. 1–11, 2019.
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Attending to Future Tokens For Bidirectional Sequence Generation
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1–10, 2019.
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NL2Type: Inferring JavaScript Function Types from Natural Language Information
Proceedings of the 41st IEEE/ACM International Conference on Software Engineering (ICSE), pp. 304–315, 2019.
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A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 732–746, 2019.
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State-Regularized Recurrent Neural Networks
Proceedings of the 36th International Conference on Machine Learning (ICML), pp. 6596–6606, 2019.
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Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–13, 2019.
2018
Journal Articles
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DeepBugs: a Learning Approach to Name-based Bug Detection
Proceedings of the ACM on Programming Languages, 2(OOPSLA), pp. 147:1–147:25, 2018.
Conference Papers
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Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (ACL), pp. 2483–2493, 2018.
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Learning Sequence Encoders for Temporal Knowledge Graph Completion
Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 4816–4821, 2018.
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KBLRN: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features
Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1–10, 2018.
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Training Person-Specific Gaze Estimators from Interactions with Multiple Devices
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–12, 2018.
2017
Journal Articles
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A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning
Annals of Statistics, 45, pp. 708–743, 2017.
Conference Papers
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Learning Graph Representations with Embedding Propagation
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), pp. 5125–5136, 2017.
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Gaze Embeddings for Zero-Shot Image Classification
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6412–6421, 2017.
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Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), pp. 193–203, 2017.
2016
Conference Papers
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Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL), pp. 256–263, 2016.
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Learning Convolutional Neural Networks for Graphs
Proceedings of the 33rd International Conference on Machine Learning (ICML), pp. 2014–2023, 2016.
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Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL), pp. 454–459, 2016.
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Discriminative Gaifman Models
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), pp. 1–9, 2016.
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AggreGaze: Collective Estimation of Audience Attention on Public Displays
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), pp. 821–831, 2016.
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A 3D Morphable Eye Region Model for Gaze Estimation
Proceedings of the European Conference on Computer Vision (ECCV), pp. 297–313, 2016.
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Spatio-Temporal Modeling and Prediction of Visual Attention in Graphical User Interfaces
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 3299–3310, 2016.
2015
Journal Articles
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Fully Adaptive Density-Based Clustering
Annals of Statistics, 43(5), pp. 2132–2167, 2015.
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Towards an Axiomatic Approach to Hierarchical Clustering of Measures
Journal of Machine Learning Research (JMLR), 16, pp. 1949–2002, 2015.
Conference Papers
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Orbits: Enabling Gaze Interaction in Smart Watches using Moving Targets
Proceedings of the ACM Symposium on User Interface Software and Technology (UIST), pp. 457–466, 2015.
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Prediction of Search Targets From Fixations in Open-world Settings
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 981–990, 2015.
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Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 3756–3764, 2015.
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Appearance-based Gaze Estimation in the Wild
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4511–4520, 2015.
2014
Journal Articles
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A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors
ACM Computing Surveys, 46(3), pp. 1–33, 2014.
Conference Papers
-
Chasing Hypernyms in Vector Spaces with Entropy
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, (Volume 2: Short Papers) (EACL), pp. 38–42, 2014.
2013
Conference Papers
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A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1146–1157, 2013.
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Using Subcategorization Knowledge to improve Case Prediction for Translation to German
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pp. 593–603, 2013.
2011
Journal Articles
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Eye Movement Analysis for Activity Recognition Using Electrooculography
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 33(4), pp. 741–753, 2011.
Conference Papers
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Optimal Learning Rates for Least Squares SVMs Using Gaussian Kernels
Advances in Neural Information Processing Systems (NeurIPS), pp. 1539–1547, 2011.
2010
Conference Papers
-
Universal Kernels on Non-Standard Input Spaces
Advances in Neural Information Processing Systems (NeurIPS), pp. 406–414, 2010.
2009
Journal Articles
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Consistency of Support Vector Machines for Forecasting the Evolution of an Unknown Ergodic Dynamical System from Observations with Unknown Noise
Annals of Statistics, 37, pp. 841–875, 2009.
Conference Papers
-
Fast Learning from Non-i.i.d. Observations
Advances in Neural Information Processing Systems (NeurIPS), pp. 1768–1776, 2009.
2008
Conference Papers
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Combining EM Training and the MDL Principle for an Automatic Verb Classification incorporating Selectional Preferences
Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 496–504, 2008.
Books
2007
Journal Articles
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Fast rates for support vector machines using Gaussian kernels
Annals of Statistics, 35, pp. 575–607, 2007.
2005
Journal Articles
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A Classification Framework for Anomaly Detection
Journal of Machine Learning Research (JMLR), 6, pp. 211–232, 2005.