vix.ing · top · new · best · stats · spec

Thomas Hofmann

  1. Simplifying Transformer Blocks
    2023/11/03 by Bobby He, He, Bobby, Thomas Hofmann +1 · 4 voices · 7 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Ferroelectric and Negative Capacitance Devices #Neural Networks and Reservoir Computing #cs.LG
  2. Hyperbolic Neural Networks
    2018/05/23 by Octavian-Eugen Ganea, Ganea, Octavian-Eugen, Gary Bécigneul +3 · 58 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, Sotiris Anagnostidis, Bachmann, Gregor +3 · 3 voices · 4 citations
    #cs.LG
  4. Stabilizing Training of Generative Adversarial Networks through Regularization
    2017/05/25 by Kevin Roth, Kevin A. Roth, Aurélien Lucchi +7 · 1 voice · 11 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. Probabilistic Latent Semantic Analysis
    2013/01/23 by Thomas Hofmann, Hofmann, Thomas · 29 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
  6. Generalized Interpolating Discrete Diffusion
    2025/03/06 by Dimitri von Rütte, Janis Fluri, von Rütte, Dimitri +9 · 2 voices · 21 citations
    Computer Science · Social Sciences · #Authorship Attribution and Profiling #Computational and Text Analysis Methods #Topic Modeling #cs.AI #cs.CL #cs.LG
  7. Escaping Saddles with Stochastic Gradients
    2018/03/15 by Hadi Daneshmand, Jonas Köhler, Daneshmand, Hadi +5 · 13 citations
    Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques
  8. Mass-spectrometry-based draft of the Arabidopsis proteome
    2020/03/11 by Julia Mergner, Martin Frejno, Markus List +33 · 11 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Advanced Proteomics Techniques and Applications #Genomics and Phylogenetic Studies #Photosynthetic Processes and Mechanisms
  9. CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes
    2023/04/12 by Maria Parelli, Parelli, Maria, Alexandros Delitzas +11 · 14 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  10. 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
    Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Generative Adversarial Networks and Image Synthesis #cs.CV
  11. A Language Model's Guide Through Latent Space
    2024/02/22 by Dimitri von Rütte, Sotiris Anagnostidis, von Rütte, Dimitri +5 · 15 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2 #Natural Language Processing Techniques #Speech and dialogue systems
  12. Analytic Insights into Structure and Rank of Neural Network Hessian Maps
    2021/06/30 by Sidak Pal Singh, Gregor Bachmann, Singh, Sidak Pal +3 · 6 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)
  13. 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 · 8 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  14. Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
    2023/03/16 by Sanghwan Kim, Kim, Sanghwan, Lorenzo Noci +5 · 6 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)
  15. Transformer Fusion with Optimal Transport
    2023/10/09 by Moritz Imfeld, Jacopo Graldi, Imfeld, Moritz +9 · 7 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)
  16. Convolutional Generation of Textured 3D Meshes
    2020/06/13 by Dario Pavllo, Graham Spinks, Pavllo, Dario +7 · 3 citations
    Engineering · Computer Science · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Advanced Numerical Analysis Techniques
  17. The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?
    2025/07/11 by Denis Sutter, Sutter, Denis, Julian Minder +5 · 3 voices · 9 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  18. Super Consistency of Neural Network Landscapes and Learning Rate Transfer
    2024/02/27 by Lorenzo Noci, Alexandru Meterez, Noci, Lorenzo +5 · 6 citations
    Computer Science · #Neural Networks and Applications
  19. Probabilistic Latent Semantic Indexing
    2017/08/02 by Thomas Hofmann · 4 citations
    Computer Science · #Data Management and Algorithms #Data Mining Algorithms and Applications #Topic Modeling
  20. Learning Generative Models of Textured 3D Meshes from Real-World Images
    2021/03/29 by Dario Pavllo, Pavllo, Dario, Jonas Köhler +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)
  21. Cosmological model discrimination with Deep Learning
    2017/07/17 by Jorit Schmelzle, Aurélien Lucchi, Schmelzle, Jorit +11 · 3 citations
    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
  22. LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
    2024/12/12 by Enis Simsar, Simsar, Enis, Thomas Hofmann +5 · 8 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Business Process Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Modeling and Simulation Systems #Simulation Techniques and Applications
  23. Exponential Families for Conditional Random Fields
    2012/07/11 by Yasemin Altün, Altun, Yasemin, Alex Smola +3 · 2 citations
    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)
  24. Phenomenology of Double Descent in Finite-Width Neural Networks
    2022/03/14 by Sidak Pal Singh, Aurélien Lucchi, Singh, Sidak Pal +5 · 2 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Machine Learning and ELM
  25. Generalization Through The Lens Of Leave-One-Out Error
    2022/03/07 by Gregor Bachmann, Bachmann, Gregor, Thomas Hofmann +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
  26. The Curious Case of Benign Memorization
    2022/10/25 by Sotiris Anagnostidis, Gregor Bachmann, Anagnostidis, Sotiris +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
  27. Communication-Efficient Distributed Dual Coordinate Ascent
    2014/09/04 by Martin Jaggi, Virginia Smith, Jaggi, Martin +11 · 1 citation
    Computer Science · Engineering · #68W15 #90C25 #Advanced Neural Network Applications #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) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  28. Landscaping Linear Mode Connectivity
    2024/06/24 by Sidak Pal Singh, Linara Adilova, Singh, Sidak Pal +9 · 3 citations
    Computer Science · #Energy Efficient Wireless Sensor Networks
  29. A domain agnostic measure for monitoring and evaluating GANs
    2018/11/13 by Paulina Grnarova, Kfir Y. Levy, Grnarova, Paulina +11 · 2 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  30. Fully Character-Level Neural Machine Translation without Explicit\n Segmentation
    2016/10/10 by Jason D. Lee, Kyunghyun Cho, Lee, Jason +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
  31. 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
  32. Understanding and Minimising Outlier Features in Neural Network Training
    2024/05/29 by Bobby He, He, Bobby, Lorenzo Noci +7 · 3 citations
    Computer Science · #Neural Networks and Applications
  33. Batch Normalization Provably Avoids Rank Collapse for Randomly Initialised Deep Networks
    2020/03/03 by Hadi Daneshmand, Jonas Köhler, Daneshmand, Hadi +7 · 3 citations
    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
  34. Semantic Interpolation in Implicit Models
    2017/10/31 by Yannic Kilcher, Aurélien Lucchi, Kilcher, Yannic +3 · 1 citation
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Cosmological N-body simulations: a challenge for scalable generative\n models
    2019/08/15 by Nathanaël Perraudin, Ankit Srivastava, Perraudin, Nathanaël +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
  36. Towards Meta-Pruning via Optimal Transport
    2024/02/12 by Alexander Theus, Olin Geimer, Theus, Alexander +9 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #DNA and Biological Computing #FOS: Computer and information sciences #Machine Learning (cs.LG) #Modular Robots and Swarm Intelligence
  37. The Role of Language Imbalance in Cross-lingual Generalisation: Insights from Cloned Language Experiments
    2024/04/11 by Anton Schäfer, Shauli Ravfogel, Schäfer, Anton +7 · 2 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  38. Starting Small -- Learning with Adaptive Sample Sizes
    2016/03/09 by Hadi Daneshmand, Aurélien Lucchi, Daneshmand, Hadi +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
  39. 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
  40. 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
  41. The Hessian perspective into the Nature of Convolutional Neural Networks
    2023/05/16 by Sidak Pal Singh, Singh, Sidak Pal, Thomas Hofmann +3 · 1 citation
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing
  42. On the Expressiveness and Length Generalization of Selective State-Space Models on Regular Languages
    2024/12/26 by Aleksandar Terzić, Michael Hersche, Terzić, Aleksandar +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)
  43. A Semi-supervised Framework for Image Captioning
    2016/11/16 by Wenhu Chen, Aurélien Lucchi, Chen, Wenhu +3 · 1 citation
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization
  44. Causal Estimation of Tokenisation Bias
    2025/06/03 by Pietro Lesci, Clara Meister, Lesci, Pietro +7 · 2 voices · 2 citations
    Mathematics · #Statistical Methods in Clinical Trials #cs.AI #cs.CL #cs.LG
  45. Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
    2024/01/29 by Michael Hersche, Hersche, Michael, Francesco Di Stefano +7 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Rough Sets and Fuzzy Logic #Logic, Reasoning, and Knowledge
  46. OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters
    2022/07/19 by Piera Riccio, Riccio, Piera, Bill Psomas +9 · 1 citation
    Computer Science · Psychology · #Face recognition and analysis #Virtual Reality Applications and Impacts #Body Image and Dysmorphia Studies
  47. How Good is a Single Basin?
    2024/02/05 by Kai Lion, Lorenzo Noci, Lion, Kai +5 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
  48. Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
    2021/02/23 by Peiyuan Zhang, Antonio Orvieto, Zhang, Peiyuan +7 · 1 citation
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Numerical methods for differential equations #Optimization and Control (math.OC)
  49. On the Effect of (Near) Duplicate Subwords in Language Modelling
    2024/04/09 by Anton Schäfer, Thomas Hofmann, Schäfer, Anton +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  50. 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
  51. Emulating the complex galactic-scale orbital dynamics of LISA massive black hole pairs with normalizing flows
    2026/07/28 by Pedro R. Capelo, Carlos Moreno Martinez, Nodens Koren +6
    Physics and Astronomy · #astro-ph.CO #astro-ph.GA #astro-ph.HE