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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

Conference Papers

  1. Neural Reasoning About Agents’ Goals, Preferences, and Actions

    Matteo Bortoletto, Lei Shi, Andreas Bulling

    Proc. 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.

    Abstract Links BibTeX Project

  2. HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

    J. Pan, M. Nayyeri, Y. Li, S. Staab

    Proc. 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.

    Links BibTeX Project

  3. Navigating Open Set Scenarios for Skeleton-based Action Recognition

    K. Peng, Y. Cheng, J. Zheng, R. Liu, D. Schneider, J. Zhang, K. Yang, M. S. Sarfraz, R. Stiefelhagen, A. Roitberg

    Proc. 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.

    Links BibTeX Project

  4. NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

    B. Xiong, M. Nayyeri, L. Luo, Z. Wang, S. Pan, S. Staab

    Proc. 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.

    Links BibTeX Project

2023

Journal Articles

  1. Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation

    Iris Andrussow, Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius

    Advanced Intelligent Systems, , 2023.

    Links BibTeX Project

  2. Constrained Learning with Non-Convex Losses

    L. F. O. Chamon, S. Paternain, M. Calvo-Fullana, A. Ribeiro

    IEEE Trans. on Inf. Theory, 69[3], pp. 1739–1760, 2023.

    Links BibTeX Project

  3. A framework and benchmark for deep batch active learning for regression

    David Holzmüller, Viktor Zaverkin, Johannes Kästner, Ingo Steinwart

    Journal of Machine Learning Research, 24(164), pp. 1–81, 2023.

    BibTeX Project

  4. Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks

    Hyosang Lee, Huanbo Sun, Hyunkyu Park, Gokhan Serhat, Bernard Javot, Georg Martius, Katherine J. Kuchenbecker

    IEEE Transactions on Automation Science and Engineering, 20(1), pp. 425–439, 2023.

    Links BibTeX Project

  5. SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks

    Thomas Monninger, Julian Schmidt, Jan Rupprecht, David Raba, Julian Jordan, Daniel Frank, Steffen Staab, Klaus Dietmayer

    IEEE Robotics and Automation Letters, , pp. 1–8, 2023.

    Abstract Links BibTeX Project

  6. Safe policies for reinforcement learning via primal-dual methods

    S. Paternain, M. Calvo-Fullana, L. F. O. Chamon, A. Ribeiro

    IEEE Trans. on Autom. Control., 68[3], 2023.

    Links BibTeX Project

Conference Papers

  1. SIMPLE: A Gradient Estimator for k-Subset Sampling

    Kareem Ahmed, Zhe Zeng, Mathias Niepert, Guy Broeck

    Proceedings of the 11th International Conference on Learning Representations (ICLR), 2023.

    BibTeX Project

  2. ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks

    Alexandra Baier, Decky Aspandi, Steffen Staab

    Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023.

    Abstract BibTeX Project

  3. Learning Globally Smooth Functions on Manifolds

    J. Cervino, L. F. O. Chamon, B. D. Haeffele, R. Vidal, A. Ribeiro

    International Conference on Machine Learning (ICML), 2023.

    BibTeX Project

  4. Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain

    Annerose Eichel, Sabine Schulte Walde

    Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. , 2023.

    Abstract Links BibTeX Project

  5. Reconstructing Signing Avatars from Video Using Linguistic Priors

    Maria-Paola Forte, Peter Kulits, Chun-Hao Paul Huang, Vasileios Choutas, Dimitrios Tzionas, Katherine J. Kuchenbecker, Michael J. Black

    IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 12791–12801, 2023.

    Links BibTeX Project

  6. Learning Disentangled Discrete Representations

    David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert

    Proceedings of the 34th European Conference on Machine Learning (ECML 2023), 2023.

    BibTeX Project

  7. Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models

    Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernandez, Steffen Staab

    Proceedings of the ACM Web Conference, pp. , 2023.

    Abstract Links BibTeX Project

  8. CNVVE: Dataset and Benchmark for Classifying Non-verbal Voice Expressions

    Ramin Hedeshy, Raphael Menges, Steffen Staab

    , 2023.

    Abstract BibTeX Project

  9. Emotional Framing in the Spreading of False and True Claims

    Akram Sadat Hosseini, Steffen Staab

    Proceedings of the 15th ACM Web Science Conference, pp. , 2023.

    Abstract Links BibTeX Project

  10. Automatic Data Augmentation via Invariance-Constrained Learning

    I. Hounie, L. F. O. Chamon, A. Ribeiro

    International Conference on Machine Learning (ICML), 2023.

    BibTeX Project

  11. A Systematic Search for Compound Semantics in Pretrained BERT Architectures

    Filip Miletic, Sabine Schulte Walde

    Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. , 2023.

    Abstract Links BibTeX Project

  12. Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models

    Pasquale Minervini, Luca Franceschi, Mathias Niepert

    Proceedings of the 37th Conference on Artificial Intelligence (AAAI), 2023.

    BibTeX Project

  13. Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection

    Lorenzo Perini, Paul Buerkner, Arto Klami

    International Conference on Machine Learning (ICML), 2023.

    BibTeX Project

  14. JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models

    Stefan T Radev, Marvin Schmitt, Valentin Pratz, Umberto Picchini, Ullrich Köthe, Paul-Christian Bürkner

    UAI Conference Proceedings, 2023.

    BibTeX Project

  15. Meta-Uncertainty in Bayesian Model Comparison

    Marvin Schmitt, Stefan T Radev, Paul-Christian Bürkner

    AISTATS Conference Proceedings, 2023.

    BibTeX Project

  16. Learning Neural PDE Solvers with Parameter-Guided Channel Attention

    Makoto Takamoto, Francesco Alesiani, Mathias Niepert

    International Conference on Machine Learning (ICML), 2023.

    BibTeX Project

2022

Journal Articles

  1. Improved Classification Rates for Localized SVMs

    Ingrid Blaschzyk, Ingo Steinwart

    Journal of Machine Learning Research, 23(165), pp. 1–59, 2022.

    Abstract Links BibTeX Project

  2. In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures

    Alexis E. Block, Hasti Seifi, Otmar Hilliges, Roger Gassert, Katherine J. Kuchenbecker

    ACM Transactions on Human-Robot Interaction Special Issue on Designing the Robot Body: Critical Perspectives on Affective Embodied Interaction (THRI), , 2022.

    Links BibTeX Project

  3. Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent

    David Holzmüller, Ingo Steinwart

    Journal of Machine Learning Research, 23(181), pp. 1–82, 2022.

    Abstract Links BibTeX Project

  4. Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks

    Hyosang Lee, Huanbo Sun, Hyunkyu Park, Gokhan Serhat, Bernard Javot, Georg Martius, Katherine J. Kuchenbecker

    IEEE Transactions on Automation Science and Engineering (TASE), , 2022.

    Abstract Links BibTeX Project

  5. Neural Software Analysis

    Michael Pradel, Satish Chandra

    Communications of the ACM, 65(1), pp. 86–96, 2022.

    Abstract Links BibTeX Project

  6. A Soft Thumb-sized Vision-based Sensor with Accurate All-round Force Perception

    Huanbo Sun, Katherine J. Kuchenbecker, Georg Martius

    Nature Machine Intelligence, 4, 2022.

    Abstract Links BibTeX Project

  7. Distributional Measures of Semantic Abstraction

    Sabine Schulte im Walde, Diego Frassinelli

    Frontiers in Artificial Intelligence: Language and Computation, 4(796756), 2022.

    Abstract Links BibTeX Project

Conference Papers

  1. Neuro-Symbolic Visual Dialog

    Adnen Abdessaied, Mihai Bâce, Andreas Bulling

    Proceedings of the 29th International Conference on Computational Linguistics (COLING), pp. 1–11, 2022.

    Abstract Links BibTeX Project

  2. Tensor-based Graph Modularity for Text Data Clustering

    Rafika Boutalbi, Mira Ait-Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif

    ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1–5, 2022.

    Abstract BibTeX Project

  3. Projection Predictive Inference for Generalized Linear and Additive Multilevel Models

    Alejandro Catalina, Paul-Christian Bürkner, Aki Vehtari

    Artificial Intelligence and Statistics (AISTATS) Conference Proceedings, pp. 1–23, 2022.

    Abstract Links BibTeX Project

  4. CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

    Aryaz Eghbali, Michael Pradel

    Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1–12, 2022.

    Abstract BibTeX Project ACM SIGSOFT Distinguished Paper Award

  5. Investigating Independence vs. Control: Agenda-Setting in Russian News Coverage on Social Media

    Annerose Eichel, Gabriella Lapesa, Sabine Schulte Walde

    Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC), pp. 5314–5323, 2022.

    Abstract Links BibTeX Project

  6. BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation

    Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavaš

    Proc. of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022.

    Abstract Links BibTeX Project

  7. Modular and Iterative Multilingual Open Information Extraction

    Bhushan Kotnis, Kiril Gashteovski, Daniel Onoro Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence

    Proc. of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022.

    Abstract Links BibTeX Project

  8. Finding the Dwarf: Recovering Precise Types from WebAssembly Binaries

    Daniel Lehmann, Michael Pradel

    Proceedings of the 43rd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), pp. 1–16, 2022.

    Abstract Links BibTeX Project

  9. Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study

    Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai

    Proceedings of the ACM Symposium on the Foundations of Software Engineering (FSE), pp. 1–13, 2022.

    Abstract Links BibTeX Project

  10. Utilizing Expert Features for Contrastive Learning of Time-Series Representations

    Manuel Nonnenmacher, Lukas Oldenburg, Ingo Steinwart, David Reeb

    Proc. of the 39th International Conference on Machine Learning (ICML), pp. 1–21, 2022.

    Abstract Links BibTeX Project

  11. SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning

    Manuel Nonnenmacher, Thomas Pfeil, Ingo Steinwart, David Reeb

    Proc. of the Tenth International Conference on Learning Representations (ICLR), pp. 1–24, 2022.

    Abstract Links BibTeX Project

  12. Robot, Pass Me the Tool: Handle Visibility Facilitates Task-oriented Handovers

    Valerio Ortenzi, Maija Filipovica, Diar Abdlkarim, Tommaso Pardi, Chie Takahashi, Alan Wing, Massimiliano Di Luca, Katherine J. Kuchenbecker

    Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 256–264, 2022.

    Abstract Links BibTeX Project

  13. Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks

    Jibesh Patra, Michael Pradel

    Proceedings of the 44th IEEE/ACM International Conference on Software Engineering (ICSE), pp. 1–13, 2022.

    Abstract Links BibTeX Project

  14. Ordered Subgraph Aggregation Networks

    Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert

    Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.

    Abstract Links BibTeX Project

  15. PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

    Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert

    Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.

    Abstract Links BibTeX Project

  16. Hyperbolic Embedding Inference for Structured Multi-Label Prediction

    Bo Xiong, M. Cochez, Mojtaba Nayyeri, Steffen Staab

    Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.

    Abstract BibTeX Project

  17. Faithful Embeddings for EL++ Knowledge Bases

    Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, Steffen Staab

    Proceedings of the 21st International Semantic Web Conference (ISWC2022), pp. 1–18, 2022.

    Abstract Links BibTeX Project

  18. Ultrahyperbolic Knowledge Graph Embeddings

    Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab

    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pp. 1–10, 2022.

    Abstract BibTeX Project

  19. Pseudo-Riemannian Graph Convolutional Networks

    Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab

    Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), pp. , 2022.

    Abstract Links BibTeX Project

2021

Journal Articles

  1. Amortized Bayesian Model Comparison with Evidental Deep Learning

    Stefan T. Radev, Marco D’Alessandro, Ulf K. Mertens, Andreas Voss, Ullrich Kothe, Paul-Christian Bürkner

    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (), pp. 1–12, 2021.

    Abstract Links BibTeX Project

  2. Rank-normalization, Folding, and Localization: An Improved Rhat for Assessing Convergence of MCMC (with discussion)

    Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, Paul-Christian Bürkner

    Bayesian Analysis, 16(2), pp. 667–718, 2021.

    Abstract Links BibTeX Project

Conference Papers

  1. Efficient Learning of Discrete-Continuous Computation Graphs

    David Friede, Mathias Niepert

    Advances in Neural Information Processing Systems (NeurIPS), pp. 1–13, 2021.

    Abstract Links BibTeX Project

  2. On the universality of the Double Descent peak in ridgeless regression

    David Holzmüller

    International Conference on Learning Representations (ICLR), 2021.

    BibTeX Project

  3. Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders

    Bhushan Kotnis, Carolin Lawrence, Mathias Niepert

    Proc. of the AAAI Conference on Artificial Intelligence (AAAI), pp. 4968–4977, 2021.

    Abstract Links BibTeX Project

  4. Explaining Neural Matrix Factorization with Gradient Rollback

    Carolin Lawrence, Timo Sztyler, Mathias Niepert

    Proc. of the AAAI Conference on Artificial Intelligence (AAAI), pp. 4987–4995, 2021.

    Abstract Links BibTeX Project

  5. Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

    Mathias Niepert, Pasquale Minervini, Luca Franceschi

    Advances in Neural Information Processing Systems (NeurIPS), pp. 1–13, 2021.

    Abstract Links BibTeX Project

  6. Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code

    Matteo Paltenghi, Michael Pradel

    Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 867–879, 2021.

    Abstract Links BibTeX Project

  7. Semantic Bug Seeding: A Learning-based Approach for Creating Realistic Bugs

    Jibesh Patra, Michael Pradel

    Proceedings of the 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering ESEC/FSE, pp. 906–918, 2021.

    Abstract Links BibTeX Project

  8. Neural Photofit: Gaze-based Mental Image Reconstruction

    Florian Strohm, Ekta Sood, Sven Mayer, Philipp Müller, Mihai Bâce, Andreas Bulling

    Proc. IEEE International Conference on Computer Vision (ICCV), pp. 245–254, 2021.

    Abstract Links BibTeX Project

  9. IdBench: Evaluating Semantic Representations of Identifier Names in Source Code

    Yaza Wainakh, Moiz Rauf, Michael Pradel

    Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering (ICSE), pp. 562–573, 2021.

    Abstract Links BibTeX Project

  10. Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs

    Cheng Wang, Carolin Lawrence, Mathias Niepert

    Proc. of the Ninth International Conference on Learning Representations (ICLR), 2021.

    Abstract Links BibTeX Project

2020

Journal Articles

  1. Approximate Leave-future-out Cross-validation for Bayesian Time Series Models

    Paul-Christian Bürkner, Jonah Gabry, Aki Vehtari

    Journal of Statistical Computation and Simulation, 90(14), pp. 2499–2523, 2020.

    Abstract Links BibTeX Project

  2. Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm

    Simon Fischer, Ingo Steinwart

    Journal of Machine Learning Research (JMLR), 21, pp. 1–38, 2020.

    Abstract Links BibTeX Project

Conference Papers

  1. Quantification of Users’ Visual Attention During Everyday Mobile Device Interactions

    Mihai Bâce, Sander Staal, Andreas Bulling

    Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–14, 2020.

    Abstract Links BibTeX Project

  2. Flexible Prior Elicitation via the Prior Predictive Distribution

    Marcelo Hartmann, Georgi Agiashvili, Paul Bürkner, Arto Klami

    Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1129–1138, 2020.

    Abstract Links BibTeX Project

  3. Predicting Degrees of Technicality in Automatic Terminology Extraction

    Anna Hätty, Dominik Schlechtweg, Michael Dorna, Sabine Schulte im Walde

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 2883–2889, 2020.

    Abstract Links BibTeX Project

  4. TypeWriter: Neural Type Prediction with Search-based Validation

    Michael Pradel, Georgios Gousios, Jason Liu, Satish Chandra

    Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), pp. 209–220, 2020.

    Abstract Links BibTeX Project

  5. Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention

    Ekta Sood, Simon Tannert, Philipp Müller, Andreas Bulling

    Advances in Neural Information Processing Systems (NeurIPS), pp. 1–15, 2020.

    Abstract Links BibTeX Project

2019

Journal Articles

  1. Getafix: Learning to Fix Bugs Automatically

    Johannes Bader, Andrew Scott, Michael Pradel, Satish Chandra

    Proceedings of the ACM on Programming Languages, 3(OOPSLA), pp. 159:1–159:27, 2019.

    Abstract Links BibTeX Project

  2. Learning Rates for Kernel-Based Expectile Regression

    Muhammad Farooq, Ingo Steinwart

    Machine Learning, 108, pp. 203–227, 2019.

    Abstract Links BibTeX Project

  3. MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

    Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(1), pp. 162–175, 2019.

    Abstract Links BibTeX Project

Conference Papers

  1. Learning Discrete Structures for Graph Neural Networks

    Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He

    Proc. of the 36th International Conference on Machine Learning (ICML), pp. 1–11, 2019.

    Abstract Links BibTeX Project

  2. Attending to Future Tokens For Bidirectional Sequence Generation

    Carolin Lawrence, Bhushan Kotnis, Mathias Niepert

    Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1–10, 2019.

    Abstract Links BibTeX Project

  3. NL2Type: Inferring JavaScript Function Types from Natural Language Information

    Rabee Sohail Malik, Jibesh Patra, Michael Pradel

    Proceedings of the 41st IEEE/ACM International Conference on Software Engineering (ICSE), pp. 304–315, 2019.

    Abstract Links BibTeX Project

  4. A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

    Dominik Schlechtweg, Anna Hätty, Marco Tredici, Sabine Schulte im Walde

    Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 732–746, 2019.

    Abstract Links BibTeX Project

  5. State-Regularized Recurrent Neural Networks

    Cheng Wang, Mathias Niepert

    Proc. of the 36th International Conference on Machine Learning (ICML), pp. 6596–6606, 2019.

    Abstract Links BibTeX Project

  6. Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications

    Xucong Zhang, Yusuke Sugano, Andreas Bulling

    Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–13, 2019.

    Abstract Links BibTeX Project

2018

Journal Articles

  1. DeepBugs: a Learning Approach to Name-based Bug Detection

    Michael Pradel, Koushik Sen

    Proceedings of the ACM on Programming Languages, 2(OOPSLA), pp. 147:1–147:25, 2018.

    Abstract Links BibTeX Project

Conference Papers

  1. Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages

    Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde

    Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (ACL), pp. 2483–2493, 2018.

    Abstract Links BibTeX Project

  2. Learning Sequence Encoders for Temporal Knowledge Graph Completion

    Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert

    Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 4816–4821, 2018.

    Abstract Links BibTeX Project

  3. KBLRN: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

    Alberto García-Durán, Mathias Niepert

    Proc. of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), pp. 1–10, 2018.

    Abstract Links BibTeX Project

  4. Training Person-Specific Gaze Estimators from Interactions with Multiple Devices

    Xucong Zhang, Michael Xuelin Huang, Yusuke Sugano, Andreas Bulling

    Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1–12, 2018.

    Abstract Links BibTeX Project

2017

Journal Articles

  1. A Bernstein-type Inequality for Some Mixing Processes and Dynamical Systems with an Application to Learning

    Hanyuan Hang, Ingo Steinwart

    Annals of Statistics, 45, pp. 708–743, 2017.

    Abstract Links BibTeX Project

Conference Papers

  1. Learning Graph Representations with Embedding Propagation

    Alberto García-Durán, Mathias Niepert

    Advances in Neural Information Processing Systems (NeurIPS), pp. 5125–5136, 2017.

    Abstract Links BibTeX Project

  2. Gaze Embeddings for Zero-Shot Image Classification

    Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling

    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6412–6421, 2017.

    Abstract Links BibTeX Project

  3. Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery

    Xucong Zhang, Yusuke Sugano, Andreas Bulling

    Proc. ACM Symposium on User Interface Software and Technology (UIST), pp. 193–203, 2017.

    Abstract Links BibTeX Project

2016

Conference Papers

  1. Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features

    Maximilian Köper, Sabine Schulte im Walde

    Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL), pp. 256–263, 2016.

    Abstract Links BibTeX Project

  2. Learning Convolutional Neural Networks for Graphs

    Mohamed Ahmed Mathias Niepert, Konstantin Kutzkov

    Proc. of the 33rd International Conference on Machine Learning (ICML), pp. 2014–2023, 2016.

    Abstract Links BibTeX Project

  3. Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction

    Kim-Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu

    Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) (ACL), pp. 454–459, 2016.

    Abstract Links BibTeX Project

  4. Discriminative Gaifman Models

    Mathias Niepert

    Advances in Neural Information Processing Systems (NeurIPS), pp. 1–9, 2016.

    Abstract Links BibTeX Project

  5. AggreGaze: Collective Estimation of Audience Attention on Public Displays

    Yusuke Sugano, Xucong Zhang, Andreas Bulling

    Proc. ACM Symposium on User Interface Software and Technology (UIST), pp. 821–831, 2016.

    Abstract Links BibTeX Project

  6. A 3D Morphable Eye Region Model for Gaze Estimation

    Erroll Wood, Tadas Baltrušaitis, Louis-Philippe Morency, Peter Robinson, Andreas Bulling

    Proc. European Conference on Computer Vision (ECCV), pp. 297–313, 2016.

    Abstract Links BibTeX Project

  7. Spatio-Temporal Modeling and Prediction of Visual Attention in Graphical User Interfaces

    Pingmei Xu, Yusuke Sugano, Andreas Bulling

    Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 3299–3310, 2016.

    Abstract Links BibTeX Project

2015

Journal Articles

  1. Fully Adaptive Density-Based Clustering

    Ingo Steinwart

    Annals of Statistics, 43(5), pp. 2132–2167, 2015.

    Abstract Links BibTeX Project

  2. Towards an Axiomatic Approach to Hierarchical Clustering of Measures

    Philipp Thomann, Ingo Steinwart, Nico Schmid

    Journal of Machine Learning Research (JMLR), 16, pp. 1949–2002, 2015.

    Abstract Links BibTeX Project

Conference Papers

  1. Orbits: Enabling Gaze Interaction in Smart Watches using Moving Targets

    Augusto Esteves, Eduardo Velloso, Andreas Bulling, Hans Gellersen

    Proc. ACM Symposium on User Interface Software and Technology (UIST), pp. 457–466, 2015.

    Abstract Links BibTeX Project

  2. Prediction of Search Targets From Fixations in Open-world Settings

    Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling

    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 981–990, 2015.

    Abstract Links BibTeX Project

  3. Rendering of Eyes for Eye-Shape Registration and Gaze Estimation

    Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, Andreas Bulling

    Proc. IEEE International Conference on Computer Vision (ICCV), pp. 3756–3764, 2015.

    Abstract Links BibTeX Project

  4. Appearance-based Gaze Estimation in the Wild

    Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

    Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4511–4520, 2015.

    Abstract Links BibTeX Project

2014

Journal Articles

  1. A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors

    Andreas Bulling, Ulf Blanke, Bernt Schiele

    ACM Computing Surveys, 46(3), pp. 1–33, 2014.

    Abstract Links BibTeX Project

Conference Papers

  1. Chasing Hypernyms in Vector Spaces with Entropy

    Enrico Santus, Alessandro Lenci, Qin Lu, Sabine Schulte im Walde

    Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, (Volume 2: Short Papers) (EACL), pp. 38–42, 2014.

    Abstract Links BibTeX Project

2013

Conference Papers

  1. A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities

    Stephen Roller, Sabine Schulte im Walde

    Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1146–1157, 2013.

    Abstract BibTeX Project

  2. Using Subcategorization Knowledge to improve Case Prediction for Translation to German

    Marion Weller, Alexander Fraser, Sabine Schulte im Walde

    Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pp. 593–603, 2013.

    Abstract BibTeX Project

2011

Journal Articles

  1. Eye Movement Analysis for Activity Recognition Using Electrooculography

    Andreas Bulling, Jamie A. Ward, Hans Gellersen, Gerhard Tröster

    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 33(4), pp. 741–753, 2011.

    Abstract Links BibTeX Project

Conference Papers

  1. Optimal Learning Rates for Least Squares SVMs Using Gaussian Kernels

    Mona Eberts, Ingo Steinwart

    Advances in Neural Information Processing Systems (NeurIPS), pp. 1539–1547, 2011.

    Abstract Links BibTeX Project

2010

Conference Papers

  1. Universal Kernels on Non-Standard Input Spaces

    Andreas Christmann, Ingo Steinwart

    Advances in Neural Information Processing Systems (NeurIPS), pp. 406–414, 2010.

    Abstract Links BibTeX Project

2009

Journal Articles

  1. Consistency of Support Vector Machines for Forecasting the Evolution of an Unknown Ergodic Dynamical System from Observations with Unknown Noise

    Ingo Steinwart, Marian Anghel

    Annals of Statistics, 37, pp. 841–875, 2009.

    Abstract Links BibTeX Project

Conference Papers

  1. Fast Learning from Non-i.i.d. Observations

    Ingo Steinwart, Andreas Christmann

    Advances in Neural Information Processing Systems (NeurIPS), pp. 1768–1776, 2009.

    Abstract Links BibTeX Project

2008

Conference Papers

  1. Combining EM Training and the MDL Principle for an Automatic Verb Classification incorporating Selectional Preferences

    Sabine Schulte im Walde, Christian Hying, Christian Scheible, Helmut Schmid

    Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 496–504, 2008.

    Abstract BibTeX Project

Books

  1. Support Vector Machines

    Ingo Steinwart, Andreas Christmann

    2008.

    Abstract Links BibTeX Project

2007

Journal Articles

  1. Fast rates for support vector machines using Gaussian kernels

    Ingo Steinwart, Clint Scovel

    Annals of Statistics, 35, pp. 575–607, 2007.

    Abstract Links BibTeX Project

2005

Journal Articles

  1. A Classification Framework for Anomaly Detection

    Ingo Steinwart, Don Hush, Clint Scovel

    Journal of Machine Learning Research (JMLR), 6, pp. 211–232, 2005.

    Abstract Links BibTeX Project

2004

Journal Articles

  1. On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition

    Andreas Christmann, Ingo Steinwart

    Journal of Machine Learning Research (JMLR), 5, pp. 1007–1034, 2004.

    Abstract Links BibTeX Project