AABI 2023 Symposium Fast Track Submissions

MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises
Emanuele Palumbo, Imant Daunhawer, Julia E Vogt
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Ratsch, Bernhard Schölkopf
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Free-Form Variational Inference for Gaussian Process State-Space Models
Xuhui Fan, Edwin V. Bonilla, Terence O'kane, Scott A Sisson
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Approximately Bayes-Optimal Pseudo Label Selection
Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Function-Space Regularization in Neural Networks: A Probabilistic Perspective
Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Leo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M Morris, Charlotte Deane, Yee Whye Teh
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Robust and Scalable Bayesian Online Changepoint Detection
Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Massively Scaling Heteroscedastic Classifiers
Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Efi Kokiopoulou
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas M. Sutter, Laura Manduchi, Alain Ryser, Julia E Vogt
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties
Yassir Fathullah, Guoxuan Xia, Mark Gales
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Sampling-based inference for large linear models with application to linearised Laplace
Javier Antoran, Shreyas Padhy, Riccardo Barbano, Eric Nalisnick, David Janz, José Miguel Hernández-Lobato
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Graphically Structured Diffusion Models
Christian Dietrich Weilbach, William Harvey, Frank Wood
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference
Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023 - Fast Track
- Readers: Everyone