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Hofmann, Thomas

  1. Simplifying Transformer Blocks
    2023/11/03 by Bobby He, He, Bobby, Thomas Hofmann +1 · 4 voices · 7 citations
    #cs.LG
  2. Hyperbolic Neural Networks
    2018/05/23 by Octavian-Eugen Ganea, Ganea, Octavian-Eugen, Gary Bécigneul +3 · 49 citations
    Computer Science · Mathematics · #Topological and Geometric Data Analysis #Computational Physics and Python Applications #Tensor decomposition and applications
  3. Scaling MLPs: A Tale of Inductive Bias
    2023/06/23 by Gregor Bachmann, Bachmann, Gregor, Sotiris Anagnostidis +3 · 3 voices · 3 citations
    #cs.LG
  4. Stabilizing Training of Generative Adversarial Networks through Regularization
    2017/05/25 by Kevin A. Roth, Kevin Roth, Aurelien Lucchi +7 · 1 voice · 7 citations
    Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #cs.LG #stat.ML
  5. Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
    2018/04/03 by Ganea, Octavian-Eugen, Bécigneul, Gary, Hofmann, Thomas · 17 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Probabilistic Latent Semantic Analysis
    2013/01/23 by Thomas Hofmann, Hofmann, Thomas · 13 citations
    Computer Science · #Advanced Text Analysis Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques
  7. CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
    2023/04/12 by Parelli, Maria, Delitzas, Alexandros, Hars, Nikolas +4 · 12 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  8. LIME: Localized Image Editing via Attention Regularization in Diffusion Models
    2023/12/14 by Enis Simsar, Simsar, Enis, Alessio Tonioni +7 · 1 voice · 5 citations
    #cs.CV
  9. Escaping Saddles with Stochastic Gradients
    2018/03/15 by Hadi Daneshmand, Jonas Köhler, Daneshmand, Hadi +5 · 8 citations
    Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques
  10. A Language Model's Guide Through Latent Space
    2024/02/22 by von Rütte, Dimitri, Anagnostidis, Sotiris, Bachmann, Gregor +1 · 12 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2
  11. Generalized Interpolating Discrete Diffusion
    2025/03/06 by Dimitri von Rütte, Janis Fluri, von Rütte, Dimitri +9 · 19 citations
    Computer Science · Social Sciences · #Topic Modeling #Authorship Attribution and Profiling #Computational and Text Analysis Methods
  12. End-to-End Neural Entity Linking
    2018/08/23 by Kolitsas, Nikolaos, Ganea, Octavian-Eugen, Hofmann, Thomas · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. Analytic Insights into Structure and Rank of Neural Network Hessian Maps
    2021/06/30 by Sidak Pal Singh, Gregor Bachmann, Singh, Sidak Pal +3 · 5 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Statistics Theory (math.ST)
  14. SwissDial: Parallel Multidialectal Corpus of Spoken Swiss German
    2021/03/21 by Dogan-Schönberger, Pelin, Mäder, Julian, Hofmann, Thomas · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  15. Convolutional Generation of Textured 3D Meshes
    2020/06/13 by Dario Pavllo, Pavllo, Dario, Graham Spinks +7 · 3 citations
    Engineering · Computer Science · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Advanced Numerical Analysis Techniques
  16. Exponential convergence rates for Batch Normalization: The power of\n length-direction decoupling in non-convex optimization
    2018/05/27 by Jonas Köhler, Hadi Daneshmand, Kohler, Jonas +9 · 5 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  17. The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
    2025/07/11 by Denis Sutter, Julian Minder, Sutter, Denis +5 · 3 voices · 9 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  18. Learning Generative Models of Textured 3D Meshes from Real-World Images
    2021/03/29 by Dario Pavllo, Jonas Köhler, Pavllo, Dario +5 · 3 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG)
  19. Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
    2023/03/16 by Sanghwan Kim, Kim, Sanghwan, Lorenzo Noci +5 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  20. Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
    2023/05/25 by Sotiris Anagnostidis, Dario Pavllo, Anagnostidis, Sotiris +8 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
  21. Transformer Fusion with Optimal Transport
    2023/10/09 by Moritz Imfeld, Jacopo Graldi, Imfeld, Moritz +9 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Neural Network Applications #Cell Image Analysis Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Deep Joint Entity Disambiguation with Local Neural Attention
    2017/04/17 by Ganea, Octavian-Eugen, Hofmann, Thomas · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  23. LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
    2024/12/12 by Simsar, Enis, Hofmann, Thomas, Tombari, Federico +1 · 7 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  24. Super Consistency of Neural Network Landscapes and Learning Rate Transfer
    2024/02/27 by Lorenzo Noci, Alexandru Meterez, Noci, Lorenzo +5 · 4 citations
    Computer Science · #Neural Networks and Applications
  25. The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit
    2023/06/30 by Noci, Lorenzo, Li, Chuning, Li, Mufan Bill +4 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. How Tempering Fixes Data Augmentation in Bayesian Neural Networks
    2022/05/27 by Bachmann, Gregor, Noci, Lorenzo, Hofmann, Thomas · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Phenomenology of Double Descent in Finite-Width Neural Networks
    2022/03/14 by Sidak Pal Singh, Singh, Sidak Pal, Aurélien Lucchi +5 · 2 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Machine Learning and ELM
  28. Generalization Through The Lens Of Leave-One-Out Error
    2022/03/07 by Gregor Bachmann, Thomas Hofmann, Bachmann, Gregor +3 · 2 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
  29. The Curious Case of Benign Memorization
    2022/10/25 by Sotiris Anagnostidis, Anagnostidis, Sotiris, Gregor Bachmann +5 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Music and Audio Processing #Neural Networks and Applications
  30. Exponential Families for Conditional Random Fields
    2012/07/11 by Yasemin Altün, Alex Smola, Altun, Yasemin +3 · 1 citation
    Computer Science · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Communication-Efficient Distributed Dual Coordinate Ascent
    2014/09/04 by Jaggi, Martin, Smith, Virginia, Takáč, Martin +4 · 1 citation
    #68W15 #90C25 #C.1.4 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  32. Variance Reduced Stochastic Gradient Descent with Neighbors
    2015/06/11 by Hofmann, Thomas, Lucchi, Aurelien, Lacoste-Julien, Simon +1 · 1 citation
    #68T05 #90C06 #90C25 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  33. Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes
    2023/06/04 by Delitzas, Alexandros, Parelli, Maria, Hars, Nikolas +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  34. A domain agnostic measure for monitoring and evaluating GANs
    2018/11/13 by Paulina Grnarova, Grnarova, Paulina, Kfir Y. Levy +11 · 2 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  35. Fully Character-Level Neural Machine Translation without Explicit\n Segmentation
    2016/10/10 by Jason D. Lee, Lee, Jason, Kyunghyun Cho +3 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  36. Zero-Shot Dual Machine Translation
    2018/05/25 by Lierni Sestorain, Sestorain, Lierni, Massimiliano Ciaramita +5 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Software Testing and Debugging Techniques #Topic Modeling
  37. Recurrent Distance Filtering for Graph Representation Learning
    2023/12/03 by Ding, Yuhui, Orvieto, Antonio, He, Bobby +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  38. Local Saddle Point Optimization: A Curvature Exploitation Approach
    2018/05/15 by Adolphs, Leonard, Daneshmand, Hadi, Lucchi, Aurelien +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  39. Deep State Space Models for Unconditional Word Generation
    2018/06/12 by Schmidt, Florian, Hofmann, Thomas · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  40. The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
    2019/02/13 by Roth, Kevin, Kilcher, Yannic, Hofmann, Thomas · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. Cosmological N-body simulations: a challenge for scalable generative\n models
    2019/08/15 by Nathanaël Perraudin, Perraudin, Nathanaël, Ankit Srivastava +9 · 1 citation
    Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  42. Object-Attribute Binding in Text-to-Image Generation: Evaluation and Control
    2024/04/21 by Trusca, Maria Mihaela, Nuyts, Wolf, Thomm, Jonathan +4 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  43. The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments
    2024/04/11 by Anton Schäfer, Schäfer, Anton, Shauli Ravfogel +7 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  44. Boosting Search Engines with Interactive Agents
    2021/09/01 by Adolphs, Leonard, Boerschinger, Benjamin, Buck, Christian +8 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  45. Landscaping Linear Mode Connectivity
    2024/06/24 by Sidak Pal Singh, Linara Adilova, Singh, Sidak Pal +9 · 2 citations
    Computer Science · #Energy Efficient Wireless Sensor Networks
  46. How to Query Language Models?
    2021/08/04 by Adolphs, Leonard, Dhuliawala, Shehzaad, Hofmann, Thomas · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
  47. UIP2P: Unsupervised Instruction-based Image Editing via Edit Reversibility Constraint
    2024/12/19 by Enis Simsar, Alessio Tonioni, Simsar, Enis +7 · 2 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques
  48. Starting Small -- Learning with Adaptive Sample Sizes
    2016/03/09 by Hadi Daneshmand, Daneshmand, Hadi, Aurélien Lucchi +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  49. On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics
    2022/01/02 by Compagnoni, Enea Monzio, Scampicchio, Anna, Biggio, Luca +3 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
  50. Cosmological model discrimination with Deep Learning
    2017/07/17 by Jorit Schmelzle, Schmelzle, Jorit, Aurélien Lucchi +11 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Statistical and numerical algorithms
  51. Decoding a Neural Retriever's Latent Space for Query Suggestion
    2022/10/21 by Adolphs, Leonard, Huebscher, Michelle Chen, Buck, Christian +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  52. Mastering Spatial Graph Prediction of Road Networks
    2022/10/03 by Sotiris Anagnostidis, Aurélien Lucchi, Anagnostidis, Sotiris +3 · 1 citation
    Environmental Science · Engineering · #Wildlife-Road Interactions and Conservation #Traffic and Road Safety #Automated Road and Building Extraction
  53. The Hessian perspective into the Nature of Convolutional Neural Networks
    2023/05/16 by Sidak Pal Singh, Thomas Hofmann, Singh, Sidak Pal +3 · 1 citation
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing
  54. On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
    2024/12/26 by Aleksandar Terzić, Terzić, Aleksandar, Michael Hersche +9 · 3 citations
    Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #DNA and Biological Computing #FOS: Computer and information sciences #Machine Learning (cs.LG)
  55. A Semi-supervised Framework for Image Captioning
    2016/11/16 by Wenhu Chen, Chen, Wenhu, Aurélien Lucchi +3 · 1 citation
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization
  56. Causal Estimation of Tokenisation Bias
    2025/06/03 by Pietro Lesci, Lesci, Pietro, Clara Meister +7 · 2 voices · 2 citations
    #cs.CL #cs.AI #cs.LG
  57. Disentangling Linear Mode-Connectivity
    2023/12/15 by Altintas, Gul Sena, Bachmann, Gregor, Noci, Lorenzo +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  58. An Art-centric perspective on AI-based content moderation of nudity
    2024/09/10 by Riccio, Piera, Curto, Georgina, Hofmann, Thomas +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Social and Information Networks (cs.SI)
  59. Towards Meta-Pruning via Optimal Transport
    2024/02/12 by Theus, Alexander, Geimer, Olin, Wicke, Friedrich +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  60. Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
    2024/01/29 by Michael Hersche, Francesco Di Stefano, Hersche, Michael +7 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Rough Sets and Fuzzy Logic #Logic, Reasoning, and Knowledge
  61. Hallmarks of Optimization Trajectories in Neural Networks: Directional Exploration and Redundancy
    2024/03/12 by Singh, Sidak Pal, He, Bobby, Hofmann, Thomas +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  62. Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
    2025/09/26 by Terzić, Aleksandar, Menet, Nicolas, Hersche, Michael +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  63. The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
    2023/09/20 by Stanić, Aleksandar, Ashley, Dylan, Serikov, Oleg +5 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  64. Understanding and Minimising Outlier Features in Neural Network Training
    2024/05/29 by Bobby He, Lorenzo Noci, He, Bobby +7 · 1 citation
    Computer Science · #Neural Networks and Applications
  65. Scaling Behavior of Discrete Diffusion Language Models
    2025/12/11 by Dimitri von Rütte, Janis Fluri, von Rütte, Dimitri +9 · 1 citation
    Social Sciences · Computer Science · #Language and cultural evolution #Authorship Attribution and Profiling #Topic Modeling
  66. Batch Normalization Provably Avoids Rank Collapse for Randomly Initialised Deep Networks
    2020/03/03 by Hadi Daneshmand, Daneshmand, Hadi, Jonas Köhler +7 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques