firstbacksecondback
11 Results
|
Poster
|
Tue 14:00 |
Ordered Subgraph Aggregation Networks Chendi Qian · Gaurav Rattan · Floris Geerts · Mathias Niepert · Christopher Morris |
|
|
Poster
|
Thu 14:00 |
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen · Brandon Amos · Maximilian Nickel |
|
|
Workshop
|
Differentially Private Federated Quantiles with the Distributed Discrete Gaussian Mechanism Krishna Pillutla · Yassine Laguel · Jérôme Malick · Zaid Harchaoui |
||
|
Poster
|
Wed 9:00 |
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael Sander · Pierre Ablin · Gabriel Peyré |
|
|
Poster
|
Thu 9:00 |
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas |
|
|
Workshop
|
Towards automated crystallographic structure refinement with a differentiable pipeline Minhuan Li · Doeke Hekstra |
||
|
Workshop
|
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang · Leilei Sun · Bowen Du · Weifeng Lv |
||
|
Poster
|
Tue 14:00 |
Shape And Structure Preserving Differential Privacy Carlos Soto · Karthik Bharath · Matthew Reimherr · Aleksandra Slavković |
|
|
Workshop
|
Predicting structural brain trajectories with discrete optimal transport normalizing flows Mireia Masias Bruns · Miguel A. González Ballester · Gemma Piella |
||
|
Poster
|
Tue 9:00 |
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang · Ignavier Ng · Dong Gong · Yuhang Liu · Ehsan Abbasnejad · Mingming Gong · Kun Zhang · Javen Qinfeng Shi |
|
|
Poster
|
Tue 9:00 |
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell · Yaron Lipman · Ricky T. Q. Chen |