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Workshop
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna · Sergio Calvo Ordoñez · Felix Opolka · Pietro Lió · José Miguel Hernández-Lobato
Workshop
Riemannian Black Box Variational Inference
Mykola Lukashchuk · Wouter Nuijten · Dmitry Bagaev · Ismail Senoz · Bert de Vries
Workshop
Amortizing intractable inference in diffusion models for Bayesian inverse problems
Siddarth Venkatraman · Moksh Jain · Luca Scimeca · Minsu Kim · Marcin Sendera · Mohsin Hasan · Luke Rowe · Sarthak Mittal · Pablo Lemos · Emmanuel Bengio · Alexandre Adam · Jarrid Rector-Brooks · Yashar Hezaveh · Laurence Perreault-Levasseur · Yoshua Bengio · Glen Berseth · Nikolay Malkin
Workshop
Gradient-free variational learning with conditional mixture networks
Conor Heins · Hao Wu · Dimitrije Markovic · Alexander Tschantz · Jeff Beck · Christopher L Buckley
Workshop
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter