Search Results for author:
Found 4 papers, 2 papers with code
Diffusion-based Generative AI for Exploring Transition States from 2D Molecular Graphs
The exploration of transition state (TS) geometries is crucial for elucidating chemical reaction mechanisms and modeling their kinetics.
GeoTMI:Predicting quantum chemical property with easy-to-obtain geometry via positional denoising
Hence, to incorporate information of the correct, GeoTMI aims to maximize mutual information between three variables: the correct and the corrupted geometries and the property.
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
This challenge, on the other hand, is interested in the exploration capability of MARL algorithms to efficiently learn implicit multi-stage tasks and environmental factors as well as micro-control.
Ranked #1 on
SMAC+
on Off_Superhard_parallel
Ambiguity Adaptive Inference and Single-shot based Channel Pruning for Satellite Processing Environments
In a restricted computing environment like satellite on-board systems, running DL models has limitation on high-speed processing due to the problems such as restriction of available power to consume compared to the relatively high computational complexity.
