Jean Kossaifi

17 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (11)

🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 👑 Triple Crown 🏆 Grand Slam 🔥 Unstoppable (8) 💎 Century Club (17) 🚀 Conference Pioneer 🗃️ Keyword Collector (64)

Conferences

NIPS (4) CVPR (3) ICLR (3) JMLR (3) ICML (2) AAAI (1) ECCV (1)

Top co-authors

Anima Anandkumar (9) Kamyar Azizzadenesheli (6) Maja Pantic (5) Yannis Panagakis (4) Adrian Bulat (3) Animashree Anandkumar (3) Zongyi Li (2) Grigorios G. Chrysos (2) Jan Kautz (2) Georgios Tzimiropoulos (2)

Keywords

tensor decomposition (4) convolutional neural network (2) low-rank approximation (2) model compression (2) sample efficiency (1) few-shot learning (1) langevin dynamics (1) domain adaptation (1) catastrophic forgetting (1) matrix factorization (1) video prediction (1) medical imaging (1) data augmentation (1) model architecture (1) function space (1) transfer learning (1) adversarial training (1) incremental learning (1) image generation (1) multi-agent reinforcement learning (1)

Papers

Score-Based Diffusion Models in Function Space JMLR 2025 Guaranteed Approximation Bounds for Mixed-Precision Neural Operators ICLR 2024 Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NIPS 2024 Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NIPS 2023 Augmenting Deep Classifiers with Polynomial Neural Networks ECCV 2022 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021 Incremental Multi-Domain Learning with Network Latent Tensor Factorization AAAI 2020 Convolutional Tensor-Train LSTM for Spatio-Temporal Learning NIPS 2020 Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation CVPR 2020 Tensor Regression Networks JMLR 2020 T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor CVPR 2019 Robust Conditional Generative Adversarial Networks ICLR 2019 TensorLy: Tensor Learning in Python JMLR 2019 GAGAN: Geometry-Aware Generative Adversarial Networks CVPR 2018 Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018