Jean Kossaifi

1. TensorLy: Tensor Learning in Python
   2016/10/29 by Jean Kossaifi, Yannis Panagakis, Kossaifi, Jean +5 · 1 voice · 16 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
2. Geometry-Informed Neural Operator for Large-Scale 3D PDEs
   2023/09/01 by Zongyi Li, Nikola Kovachki, Li, Zongyi +19 · 62 citations
   Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Real-time simulation and control systems
3. Machine Learning for Neuroimaging with Scikit-Learn
   2014/12/12 by Alexandre Abraham, Fabian Pedregosa, Abraham, Alexandre +15 · 23 citations
   Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function
4. Neural Operators for Accelerating Scientific Simulations and Design
   2023/09/27 by Azizzadenesheli, Kamyar, Nikola Kovachki, Kovachki, Nikola +8 · 48 citations
   Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Reservoir Engineering and Simulation Methods
5. Score-based Diffusion Models in Function Space
   2023/02/14 by Jae Hyun Lim, Nikola Kovachki, Lim, Jae Hyun +23 · 14 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #46B09 (Primary) #60J22 (Secondary) #Cell Image Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Functional Analysis (math.FA) #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #I.2.6 #J.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Tensor Regression Networks
   2017/07/26 by Jean Kossaifi, Zachary C. Lipton, Kossaifi, Jean +8 · 8 citations
   Computer Science · Mathematics · Medicine · #Advanced Neural Network Applications #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
7. Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
   2024/03/19 by Md Ashiqur Rahman, Robert Joseph George, Rahman, Md Ashiqur +21 · 11 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
8. A Library for Learning Neural Operators
   2024/12/13 by Jean Kossaifi, Nikola Kovachki, Kossaifi, Jean +17 · 11 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
9. Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction
   2025/02/06 by Chris Choy, A. Kamenev, Choy, Chris +9 · 8 citations
   Engineering · #Aerodynamics and Fluid Dynamics Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Real-time simulation and control systems #Vehicle Dynamics and Control Systems
10. Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
    2021/05/31 by Anuj Mahajan, Mahajan, Anuj, Mikayel Samvelyan +15 · 2 citations
    Engineering · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Tensor decomposition and applications
11. Tensor Contraction Layers for Parsimonious Deep Nets
    2017/06/01 by Jean Kossaifi, Aran Khanna, Kossaifi, Jean +7 · 1 citation
    Computer Science · Mathematics · Medicine · #Advanced Neural Network Applications #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
12. HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
    2022/11/30 by Jiaqi Gu, Ben Keller, Gu, Jiaqi +9 · 1 citation
    Computer Science · Mathematics · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Tensor decomposition and applications
13. Towards a scalable discrete quantum generative adversarial neural network
    2022/09/28 by Smit Chaudhary, Chaudhary, Smit, Patrick Huembeli +9 · 1 citation
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum many-body systems
14. Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
    2023/07/27 by Renbo Tu, Colin White, Tu, Renbo +11 · 1 citation
    Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nanofluid Flow and Heat Transfer #Numerical Analysis (math.NA)
15. TensorGRaD: Tensor Gradient Robust Decomposition for Memory-Efficient Neural Operator Training
    2025/01/04 by Sebastian Loeschcke, Loeschcke, Sebastian, David Pitt +13 · 1 voice · 1 citation
    #cs.LG