Sparse Linear Concept Embeddings

Concept Sliders for Precise Control of Diffusion Models

Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation

Acceptance rates for the major AI conferences

Regularized Douglas-Rachford Splitting Optimal Transport

Implementation code for paper "CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense", forked from @ZhangMingKun1

Official Implementation of understanding the latent space of diffusion models through the lens of riemannian geometry (NeurIPS 2023)

A parallel computing interface to the L-BFGS-B optimizer

📰 Must-read papers on Offline Model-based Optimization 🔥

Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

python implementation of Sinkhorn-Knopp

Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"

[NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions

Official implementation of "ConcVAE: Conceptual Representation Learning"

Conditional VAE using CNN on MNIST in PyTorch

Run the Windows version of Steam on macOS Sonoma or Sequoia with Apple's Game Porting Toolkit

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)

Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)

Stable Differentiable Causal Discovery (SDCD)

Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"