Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)

GHOSTS dataset

Main repo for GIOROM

Code for "Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing"

Learning in infinite dimension with neural operators.

Neural Walk-on-Spheres

Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"

Codomain attention neural operator for single to multi-physics PDE adaptation.

Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"

Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023

Hey.

Scaling behavior of Physics Informed Neural Networks for solving partial differential equations

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

Training ReLU networks to high uniform accuracy is intractable

Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing w…

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.