Jean Kossaifi
17 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Triple Crown
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Conference Pioneer
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
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Top co-authors
Research topics
Deep Learning
(14)
Machine Learning
(10)
Computer Vision
(5)
Architectures
(5)
Learning Types Β· Machine Learning
(5)
Techniques
(5)
Artificial Intelligence
(3)
Models
(3)
Optimization & Theory
(3)
Analysis
(2)
Application Areas
(2)
Core Methods
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
tensor decomposition
(4)
adversarial learning
(2)
fourier neural operator
(2)
convolutional neural network
(2)
model compression
(2)
image generation
(2)
low-rank approximation
(2)
partial differential equation
(2)
model robustness
(1)
matrix factorization
(1)
sample efficiency
(1)
video prediction
(1)
langevin dynamics
(1)
medical imaging
(1)
domain adaptation
(1)
transfer learning
(1)
catastrophic forgetting
(1)
adversarial training
(1)
function space
(1)
incremental learning
(1)
Papers
Score-Based Diffusion Models in Function Space
JMLR 2025
Equivariant Graph Neural Operator for Modeling 3D Dynamics
ICML 2024
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NeurIPS 2024
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
NeurIPS 2023
Augmenting Deep Classifiers with Polynomial Neural Networks
ECCV 2022
AugMax: Adversarial Composition of Random Augmentations for Robust Training
NeurIPS 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
ICML 2021
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
NeurIPS 2020
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
CVPR 2020
Incremental Multi-Domain Learning with Network Latent Tensor Factorization
AAAI 2020
Tensor Regression Networks
JMLR 2020
Robust Conditional Generative Adversarial Networks
ICLR 2019
TensorLy: Tensor Learning in Python
JMLR 2019
T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor
CVPR 2019
GAGAN: Geometry-Aware Generative Adversarial Networks
CVPR 2018
Stochastic Activation Pruning for Robust Adversarial Defense
ICLR 2018