Poster
|
|
Latent Neural ODEs with Sparse Bayesian Multiple Shooting
Valerii Iakovlev · Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki
|
|
Poster
|
Tue 2:30
|
Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri · Mark N Müller · Marc Fischer · Martin Vechev
|
|
Poster
|
|
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
Edward De Brouwer · Rahul G. Krishnan
|
|
Poster
|
|
Characteristic Neural Ordinary Differential Equation
XINGZI XU · Ali Hasan · Khalil Elkhalil · Jie Ding · VAHID TAROKH
|
|
Poster
|
Tue 7:30
|
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
Suresh Bishnoi · Ravinder Bhattoo · Jayadeva Jayadeva · Sayan Ranu · N. M. Anoop Krishnan
|
|
Workshop
|
|
Universality of Neural Networks on Sets and Graphs
Fabian Fuchs · Petar Veličković
|
|
Poster
|
Wed 2:30
|
Strategic Classification with Graph Neural Networks
Itay Eilat · Ben Finkelshtein · Chaim Baskin · Nir Rosenfeld
|
|
Poster
|
|
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li · Yifei Wang · Yisen Wang · Zhouchen Lin
|
|
Poster
|
|
On Representing Linear Programs by Graph Neural Networks
Ziang Chen · Jialin Liu · Xinshang Wang · Wotao Yin
|
|
Poster
|
Wed 7:30
|
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
David Bieber · Rishab Goel · Daniel Zheng · Hugo Larochelle · Daniel Tarlow
|
|
Poster
|
Wed 7:30
|
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao · Ricky Loynd
|
|
Oral
|
Wed 7:00
|
Relational Attention: Generalizing Transformers for Graph-Structured Tasks
Cameron Diao · Ricky Loynd
|
|