29 open source projects by ermongroup

Implementation of VLAE

Code for "A-NICE-MC: Adversarial Training for MCMC"

Course notes for CS228: Probabilistic Graphical Models.

Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

Implementation and examples for Tile2Vec

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables

Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018

Noise Conditional Score Networks

Code for Graphite iterative graph generation

Lagrangian VAE

PixelVAE with or without regularization

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

Code for reproducing results in the sliced score matching paper (UAI 2019)

Code for "Accelerating Natural Gradient with Higher-Order Invariance"

PiRank: Learning to Rank via Differentiable Sorting

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

PyTorch Implementation of `Learning to Process Fewer Pixels` - [CVPR20 (Oral)]

Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"

Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Course notes for CS323: Automated Reasoning

Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling

Denoising Diffusion Implicit Models

Code for the unrestricted adversarial examples paper (NeurIPS 2018)

Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.

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