Cohen, Taco
- Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
2021/04/27 by Michael M. Bronstein, Bronstein, Michael M., Joan Bruna +5 · 7 voices · 128 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computational Geometry (cs.CG) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CG #cs.CV #cs.LG #stat.ML
- RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
2024/10/02 by Jonas Gehring, Gehring, Jonas, Kunhao Zheng +11 · 4 voices · 28 citations
Computer Science · #cs.CL #cs.AI
- A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
2023/12/12 by Alexandre Duval, Duval, Alexandre, Simon V. Mathis +19 · 2 voices · 14 citations
Materials Science · Physics and Astronomy · #Nuclear Physics and Applications #X-ray Diffraction in Crystallography #cs.AI #cs.LG #q-bio.QM #stat.ML
- Rotation Equivariant CNNs for Digital Pathology
2018/06/08 by Bastiaan S. Veeling, Jasper Linmans, Veeling, Bastiaan S. +7 · 29 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Digital Imaging for Blood Diseases #Cell Image Analysis Techniques
- Does equivariance matter at scale?
2024/10/30 by Johann Brehmer, Sönke Behrends, Brehmer, Johann +5 · 5 voices · 13 citations
Materials Science · Computer Science · Physics and Astronomy · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Model Reduction and Neural Networks
- Teacher-Student Curriculum Learning
2017/07/01 by Matiisen, Tambet, Oliver, Avital, Cohen, Taco +1 · 14 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Weakly supervised causal representation learning
2022/03/30 by Brehmer, Johann, de Haan, Pim, Lippe, Phillip +1 · 11 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- CITRIS: Causal Identifiability from Temporal Intervened Sequences
2022/02/07 by Phillip Lippe, Sara Magliacane, Lippe, Phillip +9 · 10 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Vision and Imaging
- UMA: A Family of Universal Models for Atoms
2025/06/30 by Brandon M. Wood, Misko Dzamba, Wood, Brandon M. +33 · 48 citations
Materials Science · Decision Sciences · Chemical Engineering · #Machine Learning in Materials Science #Scientific Computing and Data Management #Catalysis and Oxidation Reactions
- Efficient Neural Causal Discovery without Acyclicity Constraints
2021/07/22 by Lippe, Phillip, Cohen, Taco, Gavves, Efstratios · 7 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric\n graphs
2020/03/11 by Pim de Haan, de Haan, Pim, Maurice Weiler +5 · 6 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
2022/06/13 by Phillip Lippe, Sara Magliacane, Lippe, Phillip +9 · 5 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Geometric Algebra Transformer
2023/05/28 by Johann Brehmer, Brehmer, Johann, Pim de Haan +5 · 5 citations
Engineering · Mathematics · Medicine · #Algebraic and Geometric Analysis #FOS: Computer and information sciences #Geophysics and Sensor Technology #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Robotics (cs.RO)
- What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
2024/10/10 by Zheng, Kunhao, Decugis, Juliette, Gehring, Jonas +3 · 8 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Natural Graph Networks
2020/07/16 by de Haan, Pim, Cohen, Taco, Welling, Max · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Implicit Neural Video Compression
2021/12/21 by Yunfan Zhang, Zhang, Yunfan, Ties van Rozendaal +7 · 3 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG)
- CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
2024/02/07 by Natasha Butt, Blazej Manczak, Butt, Natasha +11 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- BISCUIT: Causal Representation Learning from Binary Interactions
2023/06/16 by Lippe, Phillip, Magliacane, Sara, Löwe, Sindy +3 · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
- A PAC-Bayesian Generalization Bound for Equivariant Networks
2022/10/24 by Arash Behboodi, Behboodi, Arash, Gabriele Cesa +3 · 2 citations
Computer Science · #68T07 #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- CWM: An Open-Weights LLM for Research on Code Generation with World Models
2025/09/30 by FAIR CodeGen team, Copet, Jade, Carbonneaux, Quentin +48 · 12 citations
#68T07 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.7 #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- EDGI: Equivariant Diffusion for Planning with Embodied Agents
2023/03/22 by Johann Brehmer, Brehmer, Johann, Joey Bose +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Soft Policy Optimization: Online Off-Policy RL for Sequence Models
2025/03/07 by Cohen, Taco, Zhang, David W., Zheng, Kunhao +3 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Equivariant Mesh Attention Networks
2022/05/21 by Sourya Basu, Basu, Sourya, Jose Gallego-Posada +7 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graph Theory and Algorithms #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Information-driven Affordance Discovery for Efficient Robotic Manipulation
2024/05/06 by Pietro Mazzaglia, Mazzaglia, Pietro, Taco Cohen +3 · 1 citation
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotic Mechanisms and Dynamics #Robotic Path Planning Algorithms #Robotics (cs.RO)