|
Workshop
|
Amortized Bayesian Inference for Supernovae in the Era of the Vera Rubin Observatory Using Normalizing Flows Victoria Villar |
||
|
Poster
|
Thu 9:00 |
Langevin Autoencoders for Learning Deep Latent Variable Models Shohei Taniguchi · Yusuke Iwasawa · Wataru Kumagai · Yutaka Matsuo |
|
|
Workshop
|
Amortized Inference for Causal Structure Learning Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf |
||
|
Workshop
|
One Network to Approximate Them All: Amortized Variational Inference of Ising Ground States Sebastian Sanokowski · Wilhelm Berghammer · Johannes Kofler · Sepp Hochreiter · Sebastian Lehner |
||
|
Poster
|
Thu 14:00 |
Generalization Gap in Amortized Inference Mingtian Zhang · Peter Hayes · David Barber |
|
|
Poster
|
Thu 9:00 |
Amortized Inference for Causal Structure Learning Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf |
|
|
Poster
|
Tue 14:00 |
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM Axel Levy · Gordon Wetzstein · Julien N.P Martel · Frederic Poitevin · Ellen Zhong |
|
|
Poster
|
Thu 14:00 |
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu · Saman Motamed · Shaunak Srivastava · Fernando D De la Torre |
|
|
Workshop
|
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows Maksim Zhdanov · Lisa Randolph · Thomas Kluge · Motoaki Nakatsutsumi · Christian Gutt · Marina Ganeva · Nico Hoffmann |