Workshop
|
|
Poster: FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
|
|
Workshop
|
Sat 13:00
|
Liwei Chen - Deep Learning Surrogates for Computational Fluid Dynamics
Nils Thuerey
|
|
Workshop
|
|
Predicting the Need for Intensive Care for COVID-19 Patients using Deep Learning on Chest Radiography
Qiyuan Hu
|
|
Workshop
|
Fri 9:00
|
Oral 01: phiflow - A differentiable PDE solving framework for deep learning via physical simulations
Nils Thuerey
|
|
Poster
|
Thu 9:00
|
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
Zhiyuan Li · Kaifeng Lyu · Sanjeev Arora
|
|
Workshop
|
Sat 5:00
|
Nils Thuerey - Lead the Way! Deep Learning via Differentiable Simulations
Nils Thuerey
|
|
Workshop
|
|
Poster: DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
|
|
Workshop
|
Sat 18:00
|
Sequence and stucture based deep learning models for the identification of peptide binding sites
Osama Abdin · Han Wen
|
|
Poster
|
Thu 9:00
|
Stationary Activations for Uncertainty Calibration in Deep Learning
Lassi Meronen · Christabella Irwanto · Arno Solin
|
|
Workshop
|
Sat 18:00
|
Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
Matthew Ragoza · Tomohide Masuda · David Koes
|
|
Workshop
|
|
Efficient Nanopore Optimization by CNN-accelerated Deep Reinforcement Learning
Yuyang Wang · Zhonglin Cao · Amir Barati Farimani
|
|
Poster
|
Thu 9:00
|
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Andrew Wilson · Pavel Izmailov
|
|