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14 Results

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Workshop
Projections of Model Spaces for Latent Graph Inference
Haitz Sáez de Ocáriz Borde · Alvaro Arroyo · Ingmar Posner
Poster
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
Arnab Mondal · Piyush Tiwary · Parag Singla · Prathosh AP
Workshop
Graph-informed simulation-based inference for models of active matter
Namid Stillman · Silke Henkes · Roberto Mayor · Gilles Louppe
Poster
Tue 7:30 Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde · Anees Kazi · Federico Barbero · Pietro Lio
Poster
Variational Latent Branching Model for Off-Policy Evaluation
Qitong Gao · Ge Gao · Min Chi · Miroslav Pajic
Poster
Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks
Cheng Zhang
Poster
Tue 2:30 Sampling-free Inference for Ab-Initio Potential Energy Surface Networks
Nicholas Gao · Stephan Günnemann
Poster
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
Yulun Wu · Rob Barton · Zichen Wang · Vassilis N. Ioannidis · Carlo De Donno · Layne Price · Luis Voloch · George Karypis
Poster
Mon 7:30 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman · Chao Ma · Agrin Hilmkil · Joel Jennings · Cheng Zhang
Poster
Mon 2:30 Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang
Oral
Mon 1:50 Learning on Large-scale Text-attributed Graphs via Variational Inference
Jianan Zhao · Meng Qu · Chaozhuo Li · Hao Yan · Qian Liu · Rui Li · Xing Xie · Jian Tang
Workshop
Thu 7:45 Latent SDEs for Modelling Quasar Variability and Inferring Black Hole Properties
Joshua Fagin