Jonas Köhler
- Movie Gen: A Cast of Media Foundation Models
2024/10/17 by Adam Polyak, Amit Zohar, Polyak, Adam +164 · 135 citations
Economics, Econometrics and Finance · #Cinema and Media Studies
- Equivariant Flows: Exact Likelihood Generative Learning for Symmetric\n Densities
2020/06/03 by Jonas Köhler, Leon Klein, Köhler, Jonas +3 · 21 citations
Materials Science · Computer Science · #Machine Learning in Materials Science #Neural Networks and Applications #Topic Modeling
- Cache Me if You Can: Accelerating Diffusion Models through Block Caching
2023/12/06 by Felix Wimbauer, Wimbauer, Felix, Bichen Wu +25 · 28 citations
Computer Science · #Advanced Data Compression Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Stochastic Gradient Optimization Techniques
- An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
2025/06/24 by Adam Foster, Zeno Schätzle, Foster, Adam +17 · 2 voices · 14 citations
Chemistry · Computer Science · #Molecular spectroscopy and chirality #Computational Drug Discovery Methods #Inorganic and Organometallic Chemistry
- Escaping Saddles with Stochastic Gradients
2018/03/15 by Hadi Daneshmand, Daneshmand, Hadi, Jonas Köhler +5 · 10 citations
Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Sparse and Compressive Sensing Techniques
- Equivariant Flows: sampling configurations for multi-body systems with symmetric energies
2019/10/02 by Jonas Köhler, Köhler, Jonas, Leon Klein +3 · 11 citations
Physics and Astronomy · Materials Science · Biochemistry, Genetics and Molecular Biology · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Protein Structure and Dynamics
- Rigid Body Flows for Sampling Molecular Crystal Structures
2023/01/26 by Jonas Köhler, Köhler, Jonas, Michele Invernizzi +5 · 6 citations
Computer Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #Scientific Research and Discoveries #Music Technology and Sound Studies
- 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 · 7 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment
2025/01/31 by Gregor Bachmann, Bachmann, Gregor, Sotiris Anagnostidis +15 · 11 citations
Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences #Law, Economics, and Judicial Systems #Legal and Constitutional Studies #Machine Learning (cs.LG)
- 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)
- Smooth Normalizing Flows
2021/10/01 by Jonas Köhler, Andreas Krämer, Köhler, Jonas +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Protein Structure and Dynamics
- Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation
2024/05/08 by Jonas Köhler, Kohler, Jonas, Albert Pumarola +11 · 5 citations
Engineering · #Process Optimization and Integration
- Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
2021/08/09 by Ziyad Sheebaelhamd, Konstantinos Zisis, Sheebaelhamd, Ziyad +9 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Robotic Path Planning Algorithms #Distributed Control Multi-Agent Systems
- Boltzmann Generators -- Sampling Equilibrium States of Many-Body Systems with Deep Learning
2018/12/04 by Frank Noé, Simon Olsson, Noé, Frank +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics #Statistical Mechanics (cond-mat.stat-mech)
- Batch Normalization Provably Avoids Rank Collapse for Randomly Initialised Deep Networks
2020/03/03 by Hadi Daneshmand, Jonas Köhler, Daneshmand, Hadi +7 · 2 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
- Storybooth: Training-free Multi-Subject Consistency for Improved Visual Storytelling
2025/04/08 by Jaskirat Singh, Singh, Jaskirat, J. Chen +5 · 2 citations
Computer Science · #Artificial Intelligence in Games #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimedia (cs.MM) #Multimodal Machine Learning Applications
- Efficient higher-order local time integration for Friedrichs' systems
2026/07/16 by Marlis Hochbruck, Jonas Köhler, Malik Scheifinger
#math.NA #cs.NA