List of molecular design using Generative AI and Deep Learning
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Updated
Aug 1, 2024
List of molecular design using Generative AI and Deep Learning
A practical method for training energy-based language models.
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
[NeurIPS 2023] Training Energy-Based Normalizing Flow with Score-Matching Objectives
EIT-EBM
performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems
Version 2.0 of the Energy Economical Model improves upon the original EEM release (see separate repo) by adding support for bulk upload of load profile and existing source utilization as well as Battery Energy Storage Systems.
Energy-guided Entropic Optimal Transport (ICLR'2024)
"Deep Generative Modeling": Introductory Examples
Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
The official repository of "Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models".
[CVPR 2024] TEA: Test-time Energy Adaptation
This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classification
Naive implementations of deep reinforcement learning algorithms
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 net…
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models
Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"
[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406
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