|
Poster
|
|
GEASS: Neural causal feature selection for high-dimensional biological data
Mingze Dong · Yuval Kluger
|
|
|
Poster
|
|
Humanly Certifying Superhuman Classifiers
Qiongkai Xu · Christian Walder · Chenchen Xu
|
|
|
Oral
|
Wed 2:00
|
Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Yuan Yin · Matthieu Kirchmeyer · Jean-Yves Franceschi · alain rakotomamonjy · patrick gallinari
|
|
|
Poster
|
|
Interpretability with full complexity by constraining feature information
Kieran Murphy · Danielle Bassett
|
|
|
Poster
|
|
Distributionally Robust Recourse Action
Duy Nguyen · Ngoc Bui · Viet Anh Nguyen
|
|
|
Poster
|
Tue 2:30
|
Efficient Certified Training and Robustness Verification of Neural ODEs
Mustafa Zeqiri · Mark N Müller · Marc Fischer · Martin Vechev
|
|
|
Oral Session
|
Mon 1:00
|
Oral 1 Track 2: Machine Learning for Sciences
|
|
|
Oral Session
|
Mon 6:00
|
Oral 2 Track 2: General Machine Learning
|
|
|
Oral Session
|
Mon 1:00
|
Oral 1 Track 4: Social Aspects of Machine Learning
|
|
|
Workshop
|
Thu 5:00
|
Physics Inspired Machine Learning
Siddhartha Mishra
|
|
|
Poster
|
|
Efficiently Controlling Multiple Risks with Pareto Testing
Bracha Laufer-Goldshtein · Adam Fisch · Regina Barzilay · Tommi Jaakkola
|
|
|
Poster
|
Wed 2:30
|
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Takashi Matsubara · Takaharu Yaguchi
|
|
