Thomas Hofmann

295 papers A* 73A 19B 4C 2Misc 3Journal 146Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast and Geometrically Grounded Lorentz Neural Networks. CoRR Robert van der Klis, Ricardo Chávez Torres, Max van Spengler, Yuhui Ding, Thomas Hofmann, Pascal Mettes
2026	J	`jnl`	Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning. CoRR Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail, Thomas Hofmann, Salman H. Khan, Wei Chen
2026	J	`jnl`	When Does Sparsity Mitigate the Curse of Depth in LLMs. CoRR Dilxat Muhtar, Xinyuan Song, Sebastian Pokutta, Max Zimmer, Nico Pelleriti, Thomas Hofmann, Shiwei Liu
2025	J	`jnl`	Asymptotic analysis of shallow and deep forgetting in replay with Neural Collapse. CoRR Giulia Lanzillotta, Damiano Meier, Thomas Hofmann
2025	J	`jnl`	Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity. CoRR Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh Razlighi, Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri
2025	—	`conf`	Causal Estimation of Tokenisation Bias. ACL (1) Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
2025	J	`jnl`	Causal Estimation of Tokenisation Bias. CoRR Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
2025	A	`conf`	Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations. AISTATS Amir Joudaki, Thomas Hofmann
2025	A*	`conf`	Generalized Interpolating Discrete Diffusion. ICML Dimitri von Rütte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schölkopf, Thomas Hofmann
2025	J	`jnl`	Generalized Interpolating Discrete Diffusion. CoRR Dimitri von Rütte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schölkopf, Thomas Hofmann
2025	J	`jnl`	IC-Portrait: In-Context Matching for View-Consistent Personalized Portrait. CoRR Han Yang, Enis Simsar, Sotiris Anagnostidis, Yanlong Zang, Thomas Hofmann, Ziwei Liu
2025	J	`jnl`	JEDI: The Force of Jensen-Shannon Divergence in Disentangling Diffusion Models. CoRR Eric Tillmann Bill, Enis Simsar, Thomas Hofmann
2025	A	`conf`	LIME: Localized Image Editing via Attention Regularization in Diffusion Models. WACV Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
2025	A*	`conf`	LoRACLR: Contrastive Adaptation for Customization of Diffusion Models. CVPR Enis Simsar, Thomas Hofmann, Federico Tombari, Pinar Yanardag
2025	J	`jnl`	Model Fusion via Neuron Interpolation. CoRR Phoomraphee Luenam, Andreas Spanopoulos, Amit Sant, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2025	J	`jnl`	On the Emergence of Induction Heads for In-Context Learning. CoRR Tiberiu Musat, Tiago Pimentel, Lorenzo Noci, Alessandro Stolfo, Mrinmaya Sachan, Thomas Hofmann
2025	A*	`conf`	On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages. AAAI Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi
2025	J	`jnl`	Optimal Control Meets Flow Matching: A Principled Route to Multi-Subject Fidelity. CoRR Eric Tillmann Bill, Enis Simsar, Thomas Hofmann
2025	J	`jnl`	Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning. CoRR Lina Berrayana, Ahmed Heakl, Muhammad Abdullah Sohail, Thomas Hofmann, Salman H. Khan, Wei Chen
2025	J	`jnl`	Revisiting Knowledge Distillation: The Hidden Role of Dataset Size. CoRR Giulia Lanzillotta, Felix Sarnthein, Gil Kur, Thomas Hofmann, Bobby He
2025	J	`jnl`	SHYI: Action Support for Contrastive Learning in High-Fidelity Text-to-Image Generation. CoRR Tianxiang Xia, Lin Xiao, Yannick Montorfani, Francesco Pavia, Enis Simsar, Thomas Hofmann
2025	A*	`conf`	Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment. ICML Yuhui Ding, Thomas Hofmann
2025	J	`jnl`	Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment. CoRR Yuhui Ding, Thomas Hofmann
2025	J	`jnl`	Scaling Behavior of Discrete Diffusion Language Models. CoRR Dimitri von Rütte, Janis Fluri, Omead Pooladzandi, Bernhard Schölkopf, Thomas Hofmann, Antonio Orvieto
2025	J	`jnl`	Soft-Masked Diffusion Language Models. CoRR Michael Hersche, Samuel Moor-Smith, Thomas Hofmann, Abbas Rahimi
2025	J	`jnl`	Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models. CoRR Aleksandar Terzic, Nicolas Menet, Michael Hersche, Thomas Hofmann, Abbas Rahimi
2025	A*	`conf`	The Directionality of Optimization Trajectories in Neural Networks. ICLR Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schölkopf
2025	A*	`conf`	The Importance of Being Lazy: Scaling Limits of Continual Learning. ICML Jacopo Graldi, Alessandro Breccia, Giulia Lanzillotta, Thomas Hofmann, Lorenzo Noci
2025	J	`jnl`	The Importance of Being Lazy: Scaling Limits of Continual Learning. CoRR Jacopo Graldi, Alessandro Breccia, Giulia Lanzillotta, Thomas Hofmann, Lorenzo Noci
2025	J	`jnl`	The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability? CoRR Denis Sutter, Julian Minder, Thomas Hofmann, Tiago Pimentel
2024	A*	`conf`	A Language Model's Guide Through Latent Space. ICML Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2024	J	`jnl`	A Language Model's Guide Through Latent Space. CoRR Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2024	—	`conf`	An Art-Centric Perspective on AI-Based Content Moderation of Nudity. ECCV Workshops (5) Piera Riccio, Georgina Curto, Thomas Hofmann, Nuria Oliver
2024	J	`jnl`	An Art-centric perspective on AI-based content moderation of nudity. CoRR Piera Riccio, Georgina Curto, Thomas Hofmann, Nuria Oliver
2024	—	`conf`	Causal Estimation of Memorisation Profiles. ACL (1) Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
2024	J	`jnl`	Causal Estimation of Memorisation Profiles. CoRR Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel
2024	J	`jnl`	Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations. CoRR Amir Joudaki, Thomas Hofmann
2024	J	`jnl`	Explicit Word Density Estimation for Language Modelling. CoRR Jovan Andonov, Octavian Ganea, Paulina Grnarova, Gary Bécigneul, Thomas Hofmann
2024	A*	`conf`	Exposed or Erased: Algorithmic Censorship of Nudity in Art. CHI Piera Riccio, Thomas Hofmann, Nuria Oliver
2024	J	`jnl`	Hallmarks of Optimization Trajectories in Neural Networks and LLMs: The Lengths, Bends, and Dead Ends. CoRR Sidak Pal Singh, Bobby He, Thomas Hofmann, Bernhard Schölkopf
2024	A	`conf`	How Good is a Single Basin? AISTATS Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann
2024	J	`jnl`	How Good is a Single Basin? CoRR Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann
2024	J	`jnl`	Landscaping Linear Mode Connectivity. CoRR Sidak Pal Singh, Linara Adilova, Michael Kamp, Asja Fischer, Bernhard Schölkopf, Thomas Hofmann
2024	J	`jnl`	Language Imbalance Can Boost Cross-lingual Generalisation. CoRR Anton Schäfer, Shauli Ravfogel, Thomas Hofmann, Tiago Pimentel, Imanol Schlag
2024	J	`jnl`	LoRACLR: Contrastive Adaptation for Customization of Diffusion Models. CoRR Enis Simsar, Thomas Hofmann, Federico Tombari, Pinar Yanardag
2024	—	`conf`	Local and Global Decoding in Text Generation. EMNLP (Findings) Daniel Gareev, Thomas Hofmann, Ezhilmathi Krishnasamy, Tiago Pimentel
2024	J	`jnl`	Local and Global Decoding in Text Generation. CoRR Daniel Gareev, Thomas Hofmann, Ezhilmathi Krishnasamy, Tiago Pimentel
2024	—	`conf`	Local vs Global continual learning. CoLLAs Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
2024	J	`jnl`	Local vs Global continual learning. CoRR Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
2024	J	`jnl`	MegaPortrait: Revisiting Diffusion Control for High-fidelity Portrait Generation. CoRR Han Yang, Sotiris Anagnostidis, Enis Simsar, Thomas Hofmann
2024	A*	`conf`	Navigating Scaling Laws: Compute Optimality in Adaptive Model Training. ICML Sotiris Anagnostidis, Gregor Bachmann, Imanol Schlag, Thomas Hofmann
2024	J	`jnl`	Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control. CoRR Maria Mihaela Trusca, Wolf Nuyts, Jonathan Thomm, Robert Honig, Thomas Hofmann, Tinne Tuytelaars, Marie-Francine Moens
2024	—	`conf`	On the Effect of (Near) Duplicate Subwords in Language Modelling. ACL (Findings) Anton Schäfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel
2024	J	`jnl`	On the Effect of (Near) Duplicate Subwords in Language Modelling. CoRR Anton Schäfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel
2024	J	`jnl`	On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages. CoRR Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero, Thomas Hofmann, Abu Sebastian, Abbas Rahimi
2024	J	`jnl`	PixLens: A Novel Framework for Disentangled Evaluation in Diffusion-Based Image Editing with Object Detection + SAM. CoRR Stefan Stefanache, Lluís Pastor Pérez, Julen Costa Watanabe, Ernesto Sanchez Tejedor, Thomas Hofmann, Enis Simsar
2024	J	`jnl`	Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures. CoRR Michael Hersche, Francesco Di Stefano, Thomas Hofmann, Abu Sebastian, Abbas Rahimi
2024	A*	`conf`	Recurrent Distance Filtering for Graph Representation Learning. ICML Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann
2024	A*	`conf`	Simplifying Transformer Blocks. ICLR Bobby He, Thomas Hofmann
2024	A*	`conf`	Super Consistency of Neural Network Landscapes and Learning Rate Transfer. NeurIPS Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto
2024	A*	`conf`	Towards Meta-Pruning via Optimal Transport. ICLR Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2024	J	`jnl`	Towards Meta-Pruning via Optimal Transport. CoRR Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2024	A*	`conf`	Transformer Fusion with Optimal Transport. ICLR Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2024	J	`jnl`	UIP2P: Unsupervised Instruction-based Image Editing via Cycle Edit Consistency. CoRR Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
2024	J	`jnl`	Understanding and Minimising Outlier Features in Neural Network Training. CoRR Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
2024	A*	`conf`	Understanding and Minimising Outlier Features in Transformer Training. NeurIPS Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
2024	J	`jnl`	Why do Learning Rates Transfer? Reconciling Optimization and Scaling Limits for Deep Learning. CoRR Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto
2023	A*	`conf`	Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning. CVPR Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann
2023	J	`jnl`	Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning. CoRR Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann
2023	—	`conf`	CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CVPR Workshops Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CoRR Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	Disentangling Linear Mode-Connectivity. CoRR Gul Sena Altintas, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2023	A*	`conf`	Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. NeurIPS Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
2023	J	`jnl`	Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers. CoRR Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurélien Lucchi, Thomas Hofmann
2023	A*	`conf`	FIGARO: Controllable Music Generation using Learned and Expert Features. ICLR Dimitri von Rütte, Luca Biggio, Yannic Kilcher, Thomas Hofmann
2023	J	`jnl`	Harnessing Synthetic Datasets: The Role of Shape Bias in Deep Neural Network Generalization. CoRR Elior Benarous, Sotiris Anagnostidis, Luca Biggio, Thomas Hofmann
2023	J	`jnl`	LIME: Localized Image Editing via Attention Regularization in Diffusion Models. CoRR Enis Simsar, Alessio Tonioni, Yongqin Xian, Thomas Hofmann, Federico Tombari
2023	A*	`conf`	Mastering Spatial Graph Prediction of Road Networks. ICCV Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann
2023	A	`conf`	Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. BMVC Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotirios-Konstantinos Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. CoRR Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	J	`jnl`	Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies. CoRR Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
2023	B	`conf`	On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. IJCNN Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann
2023	A*	`conf`	Random Teachers are Good Teachers. ICML Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	J	`jnl`	Random Teachers are Good Teachers. CoRR Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	J	`jnl`	Recurrent Distance-Encoding Neural Networks for Graph Representation Learning. CoRR Yuhui Ding, Antonio Orvieto, Bobby He, Thomas Hofmann
2023	A*	`conf`	Scaling MLPs: A Tale of Inductive Bias. NeurIPS Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	J	`jnl`	Scaling MLPs: A Tale of Inductive Bias. CoRR Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann
2023	J	`jnl`	Simplifying Transformer Blocks. CoRR Bobby He, Thomas Hofmann
2023	A*	`conf`	The Curious Case of Benign Memorization. ICLR Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2023	A*	`conf`	The Hessian perspective into the Nature of Convolutional Neural Networks. ICML Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf
2023	J	`jnl`	The Hessian perspective into the Nature of Convolutional Neural Networks. CoRR Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf
2023	J	`jnl`	The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute. CoRR Aleksandar Stanic, Dylan R. Ashley, Oleg Serikov, Louis Kirsch, Francesco Faccio, Jürgen Schmidhuber, Thomas Hofmann, Imanol Schlag
2023	A*	`conf`	The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. NeurIPS Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Dan Roy
2023	J	`jnl`	The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit. CoRR Lorenzo Noci, Chuning Li, Mufan Bill Li, Bobby He, Thomas Hofmann, Chris J. Maddison, Daniel M. Roy
2023	J	`jnl`	Towards guarantees for parameter isolation in continual learning. CoRR Giulia Lanzillotta, Sidak Pal Singh, Benjamin F. Grewe, Thomas Hofmann
2023	J	`jnl`	Transformer Fusion with Optimal Transport. CoRR Moritz Imfeld, Jacopo Graldi, Marco Giordano, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
2022	J	`jnl`	Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain
2022	J	`jnl`	Cosmology from Galaxy Redshift Surveys with PointNet. CoRR Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak, Tilman Tröster, Luca Biggio, Alexandre Refregier, Thomas Hofmann
2022	A*	`conf`	Decoding a Neural Retriever's Latent Space for Query Suggestion. EMNLP Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann
2022	J	`jnl`	Decoding a Neural Retriever's Latent Space for Query Suggestion. CoRR Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann
2022	J	`jnl`	Generalization Through The Lens Of Leave-One-Out Error. CoRR Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
2022	A*	`conf`	Generalization Through the Lens of Leave-One-Out Error. ICLR Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
2022	A*	`conf`	How Tempering Fixes Data Augmentation in Bayesian Neural Networks. ICML Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2022	J	`jnl`	How Tempering Fixes Data Augmentation in Bayesian Neural Networks. CoRR Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2022	J	`jnl`	Mastering Spatial Graph Prediction of Road Networks. CoRR Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann
2022	A*	`conf`	OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. NeurIPS Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
2022	J	`jnl`	OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. CoRR Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
2022	A*	`conf`	Phenomenology of Double Descent in Finite-Width Neural Networks. ICLR Sidak Pal Singh, Aurélien Lucchi, Thomas Hofmann, Bernhard Schölkopf
2022	J	`jnl`	Phenomenology of Double Descent in Finite-Width Neural Networks. CoRR Sidak Pal Singh, Aurélien Lucchi, Thomas Hofmann, Bernhard Schölkopf
2022	J	`jnl`	Randomized Signature Layers for Signal Extraction in Time Series Data. CoRR Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann
2022	J	`jnl`	The Curious Case of Benign Memorization. CoRR Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
2022	A	`conf`	Vanishing Curvature in Randomly Initialized Deep ReLU Networks. AISTATS Antonio Orvieto, Jonas Kohler, Dario Pavllo, Thomas Hofmann, Aurélien Lucchi
2021	A*	`conf`	Analytic Insights into Structure and Rank of Neural Network Hessian Maps. NeurIPS Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
2021	J	`jnl`	Analytic Insights into Structure and Rank of Neural Network Hessian Maps. CoRR Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
2021	J	`jnl`	Boosting Search Engines with Interactive Agents. CoRR Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher
2021	A*	`conf`	Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. NeurIPS Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect. CoRR Lorenzo Noci, Kevin Roth, Gregor Bachmann, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Generative Minimization Networks: Training GANs Without Competition. CoRR Paulina Grnarova, Yannic Kilcher, Kfir Y. Levy, Aurélien Lucchi, Thomas Hofmann
2021	J	`jnl`	How to Query Language Models? CoRR Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann
2021	A*	`conf`	Learning Generative Models of Textured 3D Meshes from Real-World Images. ICCV Dario Pavllo, Jonas Kohler, Thomas Hofmann, Aurélien Lucchi
2021	J	`jnl`	Learning Generative Models of Textured 3D Meshes from Real-World Images. CoRR Dario Pavllo, Jonas Kohler, Thomas Hofmann, Aurélien Lucchi
2021	A*	`conf`	Precise characterization of the prior predictive distribution of deep ReLU networks. NeurIPS Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
2021	J	`jnl`	Precise characterization of the prior predictive distribution of deep ReLU networks. CoRR Lorenzo Noci, Gregor Bachmann, Kevin Roth, Sebastian Nowozin, Thomas Hofmann
2021	A	`conf`	Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. AISTATS Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith
2021	J	`jnl`	Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization. CoRR Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand, Thomas Hofmann, Roy S. Smith
2021	J	`jnl`	SwissDial: Parallel Multidialectal Corpus of Spoken Swiss German. CoRR Pelin Dogan-Schönberger, Julian Mäder, Thomas Hofmann
2021	A*	`conf`	Uniform Convergence, Adversarial Spheres and a Simple Remedy. ICML Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
2021	J	`jnl`	Uniform Convergence, Adversarial Spheres and a Simple Remedy. CoRR Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Thomas Hofmann
2021	J	`jnl`	Vanishing Curvature and the Power of Adaptive Methods in Randomly Initialized Deep Networks. CoRR Antonio Orvieto, Jonas Kohler, Dario Pavllo, Thomas Hofmann, Aurélien Lucchi
2020	A*	`conf`	Adversarial Training is a Form of Data-dependent Operator Norm Regularization. NeurIPS Kevin Roth, Yannic Kilcher, Thomas Hofmann
2020	J	`jnl`	BERT as a Teacher: Contextual Embeddings for Sequence-Level Reward. CoRR Florian Schmidt, Thomas Hofmann
2020	A*	`conf`	Batch normalization provably avoids ranks collapse for randomly initialised deep networks. NeurIPS Hadi Daneshmand, Jonas Moritz Kohler, Francis R. Bach, Thomas Hofmann, Aurélien Lucchi
2020	—	`conf`	Controlling Style and Semantics in Weakly-Supervised Image Generation. ECCV (6) Dario Pavllo, Aurélien Lucchi, Thomas Hofmann
2020	A*	`conf`	Convolutional Generation of Textured 3D Meshes. NeurIPS Dario Pavllo, Graham Spinks, Thomas Hofmann, Marie-Francine Moens, Aurélien Lucchi
2020	J	`jnl`	Convolutional Generation of Textured 3D Meshes. CoRR Dario Pavllo, Graham Spinks, Thomas Hofmann, Marie-Francine Moens, Aurélien Lucchi
2020	A*	`conf`	LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games. AAAI Leonard Adolphs, Thomas Hofmann
2020	J	`jnl`	Theoretical Understanding of Batch-normalization: A Markov Chain Perspective. CoRR Hadi Daneshmand, Jonas Moritz Kohler, Francis R. Bach, Thomas Hofmann, Aurélien Lucchi
2019	A*	`conf`	A Domain Agnostic Measure for Monitoring and Evaluating GANs. NeurIPS Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Ian J. Goodfellow, Thomas Hofmann, Andreas Krause
2019	J	`jnl`	Adversarial Training Generalizes Data-dependent Spectral Norm Regularization. CoRR Kevin Roth, Yannic Kilcher, Thomas Hofmann
2019	—	`conf`	Autoregressive Text Generation Beyond Feedback Loops. EMNLP/IJCNLP (1) Florian Schmidt, Stephan Mandt, Thomas Hofmann
2019	J	`jnl`	Autoregressive Text Generation Beyond Feedback Loops. CoRR Florian Schmidt, Stephan Mandt, Thomas Hofmann
2019	J	`jnl`	Controlling Style and Semantics in Weakly-Supervised Image Generation. CoRR Dario Pavllo, Aurélien Lucchi, Thomas Hofmann
2019	J	`jnl`	Cosmological N-body simulations: a challenge for scalable generative models. CoRR Nathanaël Perraudin, Ankit Srivastava, Aurélien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Réfrégier
2019	A	`conf`	Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization. AISTATS Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Ming Zhou, Klaus Neymeyr
2019	J	`jnl`	LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games. CoRR Leonard Adolphs, Thomas Hofmann
2019	A	`conf`	Local Saddle Point Optimization: A Curvature Exploitation Approach. AISTATS Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
2019	J	`jnl`	Mixing of Stochastic Accelerated Gradient Descent. CoRR Peiyuan Zhang, Hadi Daneshmand, Thomas Hofmann
2019	A*	`conf`	The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. ICML Kevin Roth, Yannic Kilcher, Thomas Hofmann
2019	J	`jnl`	The Odds are Odd: A Statistical Test for Detecting Adversarial Examples. CoRR Kevin Roth, Yannic Kilcher, Thomas Hofmann
2018	A*	`conf`	A Distributed Second-Order Algorithm You Can Trust. ICML Celestine Dünner, Aurélien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi
2018	J	`jnl`	A Distributed Second-Order Algorithm You Can Trust. CoRR Celestine Dünner, Aurélien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi
2018	J	`jnl`	Adversarially Robust Training through Structured Gradient Regularization. CoRR Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
2018	—	`conf`	An Online Learning Approach to Generative Adversarial Networks. ICLR (Poster) Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Thomas Hofmann, Andreas Krause
2018	A*	`conf`	Deep State Space Models for Unconditional Word Generation. NeurIPS Florian Schmidt, Thomas Hofmann
2018	J	`jnl`	Deep State Space Models for Unconditional Word Generation. CoRR Florian Schmidt, Thomas Hofmann
2018	B	`conf`	End-to-End Neural Entity Linking. CoNLL Nikolaos Kolitsas, Octavian-Eugen Ganea, Thomas Hofmann
2018	J	`jnl`	End-to-End Neural Entity Linking. CoRR Nikolaos Kolitsas, Octavian-Eugen Ganea, Thomas Hofmann
2018	A*	`conf`	Escaping Saddles with Stochastic Gradients. ICML Hadi Daneshmand, Jonas Moritz Kohler, Aurélien Lucchi, Thomas Hofmann
2018	J	`jnl`	Escaping Saddles with Stochastic Gradients. CoRR Hadi Daneshmand, Jonas Moritz Kohler, Aurélien Lucchi, Thomas Hofmann
2018	J	`jnl`	Evaluating GANs via Duality. CoRR Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Nathanaël Perraudin, Thomas Hofmann, Andreas Krause
2018	A*	`conf`	Hyperbolic Entailment Cones for Learning Hierarchical Embeddings. ICML Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
2018	J	`jnl`	Hyperbolic Entailment Cones for Learning Hierarchical Embeddings. CoRR Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
2018	A*	`conf`	Hyperbolic Neural Networks. NeurIPS Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
2018	J	`jnl`	Hyperbolic Neural Networks. CoRR Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann
2018	—	`conf`	Learning and Evaluating Sparse Interpretable Sentence Embeddings. BlackboxNLP@EMNLP Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko, Thomas Hofmann
2018	J	`jnl`	Learning and Evaluating Sparse Interpretable Sentence Embeddings. CoRR Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko, Thomas Hofmann
2018	J	`jnl`	Local Saddle Point Optimization: A Curvature Exploitation Approach. CoRR Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
2018	—	`conf`	Semantic Interpolation in Implicit Models. ICLR (Poster) Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
2018	J	`jnl`	Towards a Theoretical Understanding of Batch Normalization. CoRR Jonas Moritz Kohler, Hadi Daneshmand, Aurélien Lucchi, Ming Zhou, Klaus Neymeyr, Thomas Hofmann
2018	J	`jnl`	Zero-Shot Dual Machine Translation. CoRR Lierni Sestorain, Massimiliano Ciaramita, Christian Buck, Thomas Hofmann
2017	J	`jnl`	Accelerated Dual Learning by Homotopic Initialization. CoRR Hadi Daneshmand, Hamed Hassani, Thomas Hofmann
2017	J	`jnl`	An Online Learning Approach to Generative Adversarial Networks. CoRR Paulina Grnarova, Kfir Y. Levy, Aurélien Lucchi, Thomas Hofmann, Andreas Krause
2017	A*	`conf`	Deep Joint Entity Disambiguation with Local Neural Attention. EMNLP Octavian-Eugen Ganea, Thomas Hofmann
2017	J	`jnl`	Deep Joint Entity Disambiguation with Local Neural Attention. CoRR Octavian-Eugen Ganea, Thomas Hofmann
2017	J	`jnl`	Flexible Prior Distributions for Deep Generative Models. CoRR Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
2017	J	`jnl`	Fully Character-Level Neural Machine Translation without Explicit Segmentation. Trans. Assoc. Comput. Linguistics Jason Lee, Kyunghyun Cho, Thomas Hofmann
2017	J	`jnl`	Generator Reversal. CoRR Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
2017	J	`jnl`	Learning Aerial Image Segmentation From Online Maps. IEEE Trans. Geosci. Remote. Sens. Pascal Kaiser, Jan Dirk Wegner, Aurélien Lucchi, Martin Jaggi, Thomas Hofmann, Konrad Schindler
2017	J	`jnl`	Learning Aerial Image Segmentation from Online Maps. CoRR Pascal Kaiser, Jan Dirk Wegner, Aurélien Lucchi, Martin Jaggi, Thomas Hofmann, Konrad Schindler
2017	A*	`conf`	Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. WWW Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi
2017	J	`jnl`	Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification. CoRR Jan Deriu, Aurélien Lucchi, Valeria De Luca, Aliaksei Severyn, Simon Müller, Mark Cieliebak, Thomas Hofmann, Martin Jaggi
2017	J	`jnl`	Parametrizing filters of a CNN with a GAN. CoRR Yannic Kilcher, Gary Bécigneul, Thomas Hofmann
2017	J	`jnl`	Probabilistic Latent Semantic Indexing. SIGIR Forum Thomas Hofmann
2017	J	`jnl`	Semantic Interpolation in Implicit Models. CoRR Yannic Kilcher, Aurélien Lucchi, Thomas Hofmann
2017	—	`conf`	Stabilizing Training of Generative Adversarial Networks through Regularization. NIPS Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
2017	J	`jnl`	Stabilizing Training of Generative Adversarial Networks through Regularization. CoRR Kevin Roth, Aurélien Lucchi, Sebastian Nowozin, Thomas Hofmann
2017	J	`jnl`	The best defense is a good offense: Countering black box attacks by predicting slightly wrong labels. CoRR Yannic Kilcher, Thomas Hofmann
2016	A	`conf`	Active Content-Based Crowdsourcing Task Selection. CIKM Piyush Bansal, Carsten Eickhoff, Thomas Hofmann
2016	—	`conf`	Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy. NIPS Aryan Mokhtari, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann, Alejandro Ribeiro
2016	—	`conf`	Audio Based Bird Species Identification using Deep Learning Techniques. CLEF (Working Notes) Elias Sprengel, Martin Jaggi, Yannic Kilcher, Thomas Hofmann
2016	J	`jnl`	Bootstrap, Review, Decode: Using Out-of-Domain Textual Data to Improve Image Captioning. CoRR Wenhu Chen, Aurélien Lucchi, Thomas Hofmann
2016	—	`conf`	DFS- ConceptDesk - Experimenteller Workspace für Fluglotsen. UP Thomas Hofmann, Jörg Bergner
2016	J	`jnl`	DynaNewton - Accelerating Newton's Method for Machine Learning. CoRR Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
2016	J	`jnl`	Fully Character-Level Neural Machine Translation without Explicit Segmentation. CoRR Jason Lee, Kyunghyun Cho, Thomas Hofmann
2016	A*	`conf`	Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. WWW Octavian-Eugen Ganea, Marina Ganea, Aurélien Lucchi, Carsten Eickhoff, Thomas Hofmann
2016	J	`jnl`	Semantic Place Descriptors for Classification and Map Discovery. CoRR Siddharth Sarda, Carsten Eickhoff, Thomas Hofmann
2016	A*	`conf`	Starting Small - Learning with Adaptive Sample Sizes. ICML Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
2016	J	`jnl`	Starting Small - Learning with Adaptive Sample Sizes. CoRR Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
2015	J	`jnl`	A Variance Reduced Stochastic Newton Method. CoRR Aurélien Lucchi, Brian McWilliams, Thomas Hofmann
2015	A	`conf`	Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes. CIKM Martin Davtyan, Carsten Eickhoff, Thomas Hofmann
2015	A*	`conf`	Modelling Term Dependence with Copulas. SIGIR Carsten Eickhoff, Arjen P. de Vries, Thomas Hofmann
2015	J	`jnl`	Neighborhood Watch: Stochastic Gradient Descent with Neighbors. CoRR Thomas Hofmann, Aurélien Lucchi, Brian McWilliams
2015	J	`jnl`	Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. CoRR Octavian-Eugen Ganea, Marina Horlescu, Aurélien Lucchi, Carsten Eickhoff, Thomas Hofmann
2015	—	`conf`	Variance Reduced Stochastic Gradient Descent with Neighbors. NIPS Thomas Hofmann, Aurélien Lucchi, Simon Lacoste-Julien, Brian McWilliams
2014	—	`conf`	Communication-Efficient Distributed Dual Coordinate Ascent. NIPS Martin Jaggi, Virginia Smith, Martin Takác, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann, Michael I. Jordan
2014	J	`jnl`	Communication-Efficient Distributed Dual Coordinate Ascent. CoRR Martin Jaggi, Virginia Smith, Martin Takác, Jonathan Terhorst, Sanjay Krishnan, Thomas Hofmann, Michael I. Jordan
2013	J	`jnl`	Probabilistic Latent Semantic Analysis CoRR Thomas Hofmann
2012	J	`jnl`	Exponential Families for Conditional Random Fields CoRR Yasemin Altun, Alexander J. Smola, Thomas Hofmann
2011	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II ECML/PKDD (2) Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
2011	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III ECML/PKDD (3) Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
2011	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I ECML/PKDD (1) Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis
2009	J	`jnl`	Efficient Subwindow Search: A Branch and Bound Framework for Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann
2009	Misc	`conf`	Inkrementelle nutzergerechte Etablierung eines Towerlotsen-HMI. MuC Christina König, Thomas Hofmann, Jörg Bergner, Ralph Bruder
2009	J	`jnl`	Predicting structured objects with support vector machines. Commun. ACM Thorsten Joachims, Thomas Hofmann, Yisong Yue, Chun-Nam John Yu
2008	J	`jnl`	A Survey of Attack-Resistant Collaborative Filtering Algorithms. IEEE Data Eng. Bull. Bhaskar Mehta, Thomas Hofmann
2008	A*	`conf`	Beyond sliding windows: Object localization by efficient subwindow search. CVPR Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann
2008	—	`conf`	Evaluation eines Human-Machine-Interface für Tower-Fluglotsen unter Einsatz eines Simulators. UP Christina König, Thomas Hofmann, Jörg Bergner, Ralph Bruder
2008	—	`conf`	NEW HMI Möglichkeiten und Grenzen abstrakt-geographischer Visualisierung in Bereich der Anlagensteuerung. UP Thomas Hofmann, Peter Holzkämper
2007	J	`jnl`	Advanced experimental and numerical methods for the analysis of the dynamic forming press behavior. Prod. Eng. Peter Groche, Knut Großmann, Thomas Hofmann, Hajo Wiemer
2007	—	`ed.`	Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006 NIPS Bernhard Schölkopf, John C. Platt, Thomas Hofmann
2007	A*	`conf`	Exploiting Known Taxonomies in Learning Overlapping Concepts. IJCAI Lijuan Cai, Thomas Hofmann
2007	A	`conf`	Lies and propaganda: detecting spam users in collaborative filtering. IUI Bhaskar Mehta, Thomas Hofmann, Peter Fankhauser
2007	J	`jnl`	Non-redundant data clustering. Knowl. Inf. Syst. David Gondek, Thomas Hofmann
2007	A	`conf`	Robust collaborative filtering. RecSys Bhaskar Mehta, Thomas Hofmann, Wolfgang Nejdl
2006	Misc	`conf`	Cross System Personalization and Collaborative Filtering by Learning Manifold Alignments. KI Bhaskar Mehta, Thomas Hofmann
2006	—	`conf`	Global Biclustering of Microarray Data. ICDM Workshops Thomas Wolf, Benedikt Brors, Thomas Hofmann, Elisabeth Georgii
2005	A*	`conf`	A brain computer interface with online feedback based on magnetoencephalography. ICML Thomas Navin Lal, Michael Schröder, N. Jeremy Hill, Hubert Preißl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer, Bernhard Schölkopf
2005	—	`conf`	Collaborative Machine Learning. From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments Thomas Hofmann, Justin Basilico
2005	A	`conf`	From bits and bytes to information and knowledge. CIKM Thomas Hofmann
2005	A	`conf`	Kernel Methods for Missing Variables. AISTATS Alexander J. Smola, S. V. N. Vishwanathan, Thomas Hofmann
2005	J	`jnl`	Large Margin Methods for Structured and Interdependent Output Variables. J. Mach. Learn. Res. Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun
2005	A*	`conf`	Non-redundant clustering with conditional ensembles. KDD David Gondek, Thomas Hofmann
2004	A*	`conf`	A joint framework for collaborative and content filtering. SIGIR Justin Basilico, Thomas Hofmann
2004	A	`conf`	Exponential Families for Conditional Random Fields. UAI Yasemin Altun, Alexander J. Smola, Thomas Hofmann
2004	A*	`conf`	Gaussian process classification for segmenting and annotating sequences. ICML Yasemin Altun, Thomas Hofmann, Alexander J. Smola
2004	A	`conf`	Hierarchical document categorization with support vector machines. CIKM Lijuan Cai, Thomas Hofmann
2004	J	`jnl`	Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. Thomas Hofmann
2004	A*	`conf`	Learning Over Compact Metric Spaces. COLT Ha Quang Minh, Thomas Hofmann
2004	A*	`conf`	Non-Redundant Data Clustering. ICDM David Gondek, Thomas Hofmann
2004	—	`conf`	Semi-supervised Learning on Directed Graphs. NIPS Dengyong Zhou, Bernhard Schölkopf, Thomas Hofmann
2004	A*	`conf`	Support vector machine learning for interdependent and structured output spaces. ICML Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun
2004	A*	`conf`	Unifying collaborative and content-based filtering. ICML Justin Basilico, Thomas Hofmann
2003	J	`jnl`	Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002. SIGIR Forum James Allan, Jay Aslam, Nicholas J. Belkin, Chris Buckley, James P. Callan, W. Bruce Croft, Susan T. Dumais, Norbert Fuhr, Donna Harman, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard H. Hovy, Wessel Kraaij, John D. Lafferty, Victor Lavrenko, David D. Lewis, Liz Liddy, R. Manmatha, Andrew McCallum, Jay M. Ponte, John M. Prager, Dragomir R. Radev, Philip Resnik, Stephen E. Robertson, Ronald Rosenfeld, Salim Roukos, Mark Sanderson, Richard M. Schwartz, Amit Singhal, Alan F. Smeaton, Howard R. Turtle, Ellen M. Voorhees, Ralph M. Weischedel, Jinxi Xu, ChengXiang Zhai
2003	A*	`conf`	Collaborative filtering via gaussian probabilistic latent semantic analysis. SIGIR Thomas Hofmann
2003	A*	`conf`	Hidden Markov Support Vector Machines. ICML Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann
2003	A*	`conf`	Hierarchical Semantic Classification: Word Sense Disambiguation with World Knowledge. IJCAI Massimiliano Ciaramita, Thomas Hofmann, Mark Johnson
2003	A*	`conf`	Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. EMNLP Yasemin Altun, Mark Johnson, Thomas Hofmann
2003	A	`conf`	Large margin methods for label sequence learning. INTERSPEECH Yasemin Altun, Thomas Hofmann
2003	—	`conf`	Multiple-Instance Learning via Disjunctive Programming Boosting. NIPS Stuart Andrews, Thomas Hofmann
2003	—	`conf`	Phaszination Ergonomie: Von der Entlastung am Fließband zur Inspiration im Design. UP Claudius Lazzeroni, Petra Gersch, Thomas Hofmann, Christian Noss
2003	A*	`conf`	Text categorization by boosting automatically extracted concepts. SIGIR Lijuan Cai, Thomas Hofmann
2002	—	`conf`	Discriminative Learning for Label Sequences via Boosting. NIPS Yasemin Altun, Thomas Hofmann, Mark Johnson
2002	—	`conf`	Multiple Instance Learning with Generalized Support Vector Machines. AAAI/IAAI Stuart Andrews, Thomas Hofmann, Ioannis Tsochantaridis
2002	J	`jnl`	Predicting CNS Permeability of Drug Molecules: Comparison of Neural Network and Support Vector Machine Algorithms. J. Comput. Biol. Scott Doniger, Thomas Hofmann, Miao-Hui Joanne Yeh
2002	—	`conf`	Support Vector Machines for Multiple-Instance Learning. NIPS Stuart Andrews, Ioannis Tsochantaridis, Thomas Hofmann
2002	—	`conf`	Support Vector Machines for Polycategorical Classification. ECML Ioannis Tsochantaridis, Thomas Hofmann
2001	—	`conf`	Learning What People (Don't) Want. ECML Thomas Hofmann
2001	A	`conf`	Text Classification in a Hierarchical Mixture Model for Small Training Sets. CIKM Kristina Toutanova, Francine Chen, Kris Popat, Thomas Hofmann
2001	J	`jnl`	Unsupervised Learning by Probabilistic Latent Semantic Analysis. Mach. Learn. Thomas Hofmann
2000	J	`jnl`	A theory of proximity based clustering: structure detection by optimization. Pattern Recognit. Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann
2000	A*	`conf`	Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval. ICML Keith B. Hall, Thomas Hofmann
2000	A*	`conf`	Learning probabilistic models of the Web. SIGIR Thomas Hofmann
2000	C	`conf`	OpenSpaces: An Object-Oriented Framework for Reconfigurable Coordination Spaces. COORDINATION Stéphane Ducasse, Thomas Hofmann, Oscar Nierstrasz
2000	J	`jnl`	ProbMap - A probabilistic approach for mapping large document collections. Intell. Data Anal. Thomas Hofmann
2000	—	`conf`	The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. NIPS David A. Cohn, Thomas Hofmann
1999	A*	`conf`	Histogram Clustering for Unsupervised Image Segmentation. CVPR Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
1999	J	`jnl`	Histogram clustering for unsupervised segmentation and image retrieval. Pattern Recognit. Lett. Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann
1999	A*	`conf`	Latent Class Models for Collaborative Filtering. IJCAI Thomas Hofmann, Jan Puzicha
1999	—	`conf`	Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization. NIPS Thomas Hofmann
1999	A	`conf`	Probabilistic Latent Semantic Analysis. UAI Thomas Hofmann
1999	A*	`conf`	Probabilistic Latent Semantic Indexing. SIGIR Thomas Hofmann
1999	B	`conf`	Probabilistic Topic Maps: Navigating through Large Text Collections. IDA Thomas Hofmann
1999	A*	`conf`	The Cluster-Abstraction Model: Unsupervised Learning of Topic Hierarchies from Text Data. IJCAI Thomas Hofmann
1999	—	`conf`	Topic-based language models using EM. EUROSPEECH Daniel Gildea, Thomas Hofmann
1998	J	`jnl`	Competitive learning algorithms for robust vector quantization. IEEE Trans. Signal Process. Thomas Hofmann, Joachim M. Buhmann
1998	—	`conf`	Discrete Mixture Models for Unsupervised Image Segmentation. DAGM-Symposium Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
1998	—	`conf`	Learning from Dyadic Data. NIPS Thomas Hofmann, Jan Puzicha, Michael I. Jordan
1998	B	`conf`	Mixture models for co-occurrence and histogram data. ICPR Thomas Hofmann, Jan Puzicha
1998	J	`jnl`	Unsupervised Texture Segmentation in a Deterministic Annealing Framework. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1997	—	`conf`	Active Data Clustering. NIPS Thomas Hofmann, Joachim M. Buhmann
1997	—	`conf`	An Optimization Approach to Unsupervised Hierarchical Texture Segmentation. ICIP (3) Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1997	J	`jnl`	Correction to "Pairwise Data Clustering by Deterministic Annealing". IEEE Trans. Pattern Anal. Mach. Intell. Thomas Hofmann, Joachim M. Buhmann
1997	—	`—`	Data clustering and beyond: a deterministic annealing framework for exploratory data analysis. Thomas Hofmann
1997	—	`conf`	Deterministic Annealing for Unsupervised Texture Segmentation. EMMCVPR Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1997	A*	`conf`	Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. CVPR Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann
1997	J	`jnl`	Pairwise Data Clustering by Deterministic Annealing. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Hofmann, Joachim M. Buhmann
1997	Misc	`conf`	Robust vector quantization by competitive learning. ICASSP Joachim M. Buhmann, Thomas Hofmann
1996	C	`conf`	An Annealed "Neural Gas" Network for Robust Vector Quantization. ICANN Thomas Hofmann, Joachim M. Buhmann
1996	A*	`conf`	Inferring Hierarchical Clustering Structures by Deterministic Annealing. KDD Thomas Hofmann, Joachim M. Buhmann
1996	—	`conf`	Unsupervised segmentation of textured images by pairwise data clustering. ICIP (3) Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
1995	J	`jnl`	The Mobile Robot RHINO. AI Mag. Joachim M. Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank E. Schneider, Jiannis Strikos, Sebastian Thrun
1995	—	`conf`	The Mobile Robot Rhino. SNN Symposium on Neural Networks Joachim M. Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank E. Schneider, Jiannis Strikos, Sebastian Thrun
1994	—	`conf`	A maximum entropy approach to pairwise data clustering. ICPR (2) Joachim M. Buhmann, Thomas Hofmann
1994	—	`conf`	Multidimensional Scaling and Data Clustering. NIPS Thomas Hofmann, Joachim M. Buhmann
1993	—	`conf`	Central and Pairwise Data Clustering by Competitive Neural Networks. NIPS Joachim M. Buhmann, Thomas Hofmann