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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.

2022

Journal Articles

  1. 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

  2. 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

  3. Neural Software Analysis

    Michael Pradel, Satish Chandra

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

    Abstract Links BibTeX Project

  4. 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

  5. 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. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Faithful Embeddings for EL++ Knowledge Bases

    Bo Xiong, N. Potyka, T.-K. Tran, Mojtaba Nayyeri, Steffen Staab

    Proceedings of the 21st International Semantic Web Conference (ISWC2022), 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. 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

  3. 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

  4. 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

  5. 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

  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. 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

  8. 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

  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

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. 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

  2. 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

  3. 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

  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. 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

2019

Journal Articles

  1. Learning Rates for Kernel-Based Expectile Regression

    Muhammad Farooq, Ingo Steinwart

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

    Abstract Links BibTeX Project

  2. 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

  3. 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

Conference Papers

  1. 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

  2. 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

  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. 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

  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. 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

  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. 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

2016

Conference Papers

  1. Discriminative Gaifman Models

    Mathias Niepert

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

    Abstract Links BibTeX Project

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  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. 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

  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. 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

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