|
Workshop
|
|
An optimal control perspective on diffusion-based generative modeling
Julius Berner · Lorenz Richter · Karen Ullrich
|
|
|
Workshop
|
|
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso · Matthia Sabatelli · Marco Wiering
|
|
|
Workshop
|
|
Retrieval-based Controllable Molecule Generation
Jack Wang · Weili Nie · Zhuoran Qiao · Chaowei Xiao · Richard Baraniuk · Anima Anandkumar
|
|
|
Workshop
|
|
Learning from physics-based features improves protein property prediction
Amy Wang · Ava Soleimany · Alex X Lu · Kevin Yang
|
|
|
Workshop
|
|
Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning
Xiangyu Liu · Souradip Chakraborty · Furong Huang
|
|
|
Workshop
|
Fri 9:30
|
Semi-Supervised Learning and Data Augmentation for Wearable-based Health Monitoring System in the Wild
Han Yu · Akane Sano
|
|
|
Poster
|
Wed 14:00
|
The least-control principle for local learning at equilibrium
Alexander Meulemans · Nicolas Zucchet · Seijin Kobayashi · Johannes von Oswald · João Sacramento
|
|
|
Poster
|
Tue 9:00
|
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
Akshay Mete · Rahul Singh · P. R. Kumar
|
|
|
Poster
|
|
Model-Based Opponent Modeling
XiaoPeng Yu · Jiechuan Jiang · Wanpeng Zhang · Haobin Jiang · Zongqing Lu
|
|
|
Workshop
|
|
Stabilization and Acceleration of CFD Simulation by Controlling Relaxation Factor Based on Residues: An SNN Based Approach
Sounak Dey · Dighanchal Banerjee · Mithilesh Maurya · Dilshad Ahmad
|
|
|
Poster
|
Wed 9:00
|
Policy Gradient With Serial Markov Chain Reasoning
Edoardo Cetin · Oya Celiktutan
|
|
|
Poster
|
Wed 9:00
|
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework
Henger Li · Xiaolin Sun · Zizhan Zheng
|
|
