TMLR Code
Showing 74 publications
2026
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
arXiv:2601.18111
FG-ConvNO: A Geometry-Aware Neural Operator for Propeller CFD Prediction
AI2ASE Workshop, AAAI 2026
2025
Tensor-galore: Memory-efficient training via gradient tensor decomposition
Journal
Factorized implicit global convolution for automotive computational fluid dynamics prediction
arXiv:2502.04317
Analyzing Political Text at Scale with Online Tensor LDA
Journal
Enabling automatic differentiation with mollified graph neural operators
arXiv:2504.08277
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning
arXiv:2506.10973
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
arXiv:2507.12144
Fourier Neural Operators Explained: A Practical Perspective
arXiv:2512.01421
Furthering Quantum Systems with Neural Operators
APS Global Physics Summit 2025
Lightweight Fourier Neural Operator for Time-Dependent Partial Differential Equations
Machine Learning and the…
2024
Multi-grid tensorized Fourier neural operator for high-resolution PDEs
TMLR
Tensor methods in deep learning
Signal Processing and…
Geometry-informed neural operator for large-scale 3d pdes
NeurIPS
Neural operators for accelerating scientific simulations and design
Nature Reviews Physics
Equivariant graph neural operator for modeling 3d dynamics
ICML
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
ICLR
Pretraining codomain attention neural operators for solving multiphysics pdes
NeurIPS
Towards Comprehensive Evaluation of Data-Driven Numerical Weather Prediction Models
104th Annual AMS Meeting 2024
High-Performance Tensor-Train Primitives Using GPU Tensor Cores
IEEE Trans. Computers
Fourier neural operators for learning dynamics in quantum spin systems
arXiv:2409.03302
Exploring the design space of deep-learning-based weather forecasting systems
arXiv:2410.07472
A library for learning neural operators
arXiv:2412.10354
Nvidia Earth-2: 2024 AI Research Highlights in hybrid climate simulation, km-scale atmospheric emulation, weather forecasting, ocean coupling, generative AI downscaling & data assimilation.
AGU Fall Meeting Abstracts
Activating Identity and Political Action in the# Metoo Era
SSRN
2023
Towards a scalable discrete quantum generative adversarial neural network
Quantum Sci. Technol.
Efficient and Large-Scale Semidefinite Programming with Quantum Neural Networks
APS March Meeting Abstracts
Towards a scalable discrete quantum generative adversarial neural network
APS March Meeting Abstracts
Score-based diffusion models in function space
arXiv:2302.07400
Quantum Goemans-Williamson algorithm with the Hadamard test and approximate amplitude constraints
Quantum
Speeding up Fourier neural operators via mixed precision
arXiv
Physics-informed neural operators with exact differentiation on arbitrary geometries
The symbiosis of deep…
NVIDIA Earth-2: Towards km-scale interactive digital twins
AGU Fall Meeting Abstracts
2022
Variational Quantum Optimization with Multi-Basis Encodings
Physical Review Research
Quantum Semidefinite Programming with the Hadamard Test and Approximate Amplitude Constraints
arXiv
Augmenting Deep Classifiers with Polynomial Neural Networks
ECCV
Heat: Hardware-efficient automatic tensor decomposition for transformer compression
arXiv:2211.16749
Incremental spatial and spectral learning of neural operators for solving large-scale PDEs
arXiv:2211.15188
2021
TPAMI
Tensor Dropout for Robust Learning
IEEE JSTSP
Unsupervised Controllable Generation with Self-Training
IJCNN
Estimation of continuous valence and arousal levels from faces in naturalistic conditions
Nature Machine Intelligence
Tensor methods in computer vision and deep learning
Proceedings of the IEEE
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
ICML
AugMax: Adversarial Composition of Random Augmentations for Robust Training
NeurIPS
Defensive Tensorization
BMVC
Reinforcement learning in factored action spaces using tensor decompositions
arXiv:2110.14538
Tensorly-quantum: Quantum machine learning with tensor methods
arXiv:2112.10239
2020
Tensor regression networks
JMLR
Incremental multi-domain learning with network latent tensor factorization
AAAI
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation
CVPR
Speech-driven facial animation using polynomial fusion of features
ICASSP
Toward fast and accurate human pose estimation via soft-gated skip connections
FG
RoCGAN: Robust Conditional GAN
IJCV
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
NeurIPS
2019
ICLR
CVPR
IJCV
Improved training of binary networks for human pose estimation and image recognition
arXiv:1904.05868
Matrix and tensor decompositions for training binary neural networks
arXiv:1904.07852
Valence and arousal estimation in-the-wild with tensor methods
FG
Spectral learning on matrices and tensors
Found. Trends ML
Machine learning methods for face modelling and analysis in-the-wild
Publication
2018
ICLR
2017
Image and Vision Computing
CVPRW
2016
TIP
2015
ICIP
ICCVW
2014
ICIP
Frontiers in Neuroinformatics
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