|
Poster
|
Tue 9:00
|
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu · Jialin Mao · Shiyun Xu
|
|
|
Poster
|
Thu 14:00
|
CoNSoLe: Convex Neural Symbolic Learning
Haoran Li · Yang Weng · Hanghang Tong
|
|
|
Workshop
|
|
Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
Karan Shah · Patrick Stiller · Nico Hoffmann · Attila Cangi
|
|
|
Poster
|
Thu 9:00
|
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
|
|
|
Poster
|
Tue 9:00
|
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations
Miao Zhang · Wei Huang · Bin Yang
|
|
|
Poster
|
Thu 14:00
|
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
Ruizhong Qiu · Zhiqing Sun · Yiming Yang
|
|
|
Workshop
|
|
Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle · Jan Schuchardt · Lukas Gosch · Daniel Zügner · Stephan Günnemann
|
|
|
Poster
|
Thu 9:00
|
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
Yi-Ling Qiao · Alexander Gao · Ming Lin
|
|
|
Poster
|
Tue 14:00
|
Graph Neural Networks with Adaptive Readouts
David Buterez · Jon Paul Janet · Steven J Kiddle · Dino Oglic · Pietro Liò
|
|
|
Workshop
|
|
Surfing on the Neural Sheaf
Julian Suk · Lorenzo Giusti · Tamir Hemo · Miguel Lopez · Marco La Vecchia · Konstantinos Barmpas · Cristian Bodnar
|
|
|
Poster
|
Thu 14:00
|
Modular Flows: Differential Molecular Generation
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg
|
|
|
Workshop
|
|
Modular Flows: Differential Molecular Generation
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg
|
|
