energy-based-model

Boltzmann Machines in TensorFlow with examples

(CVPR 2021 Oral) Open World Object Detection

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)

Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

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

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

A Theano implementation of a CNN DSEBM (deep structured energy-based model) described in https://arxiv.org/pdf/1605.07717v2.pdf

Noise Contrastive Estimation (NCE) in PyTorch

CVPR 2021 Oral Paper PatchGenCN

Recommender System Model using Restricted Boltzmann Machine (Energy-based Model)

Official code for the paper "Arbitrary Conditional Distributions with Energy".

TF2 Implementation of "Energy Based Models" (Du and Mordatch) and Joint-Energy Models (Grathwohl et al.)

Combining Energy-Based Modeling and RL to solve the challenging Abstract Reasoning Corpus[1] tasks.

Official Implementation for AAAI 2021 "Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation"

Global Autoregressive Models (GAMs) for Data-Efficient Sequence Learning

Python implementation of "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit," EMNLP 2018

A hobby project developing Energy Based Models in Julia

(Unofficial) Implementation of VAEBM (Xiao et al. 2021)

Word Segmentation in Sanskrit Using Energy Based Models

Tensorflow Implementation of Conditional CoopNets (TPAMI 2021)