AABI 2025 Workshop Track Submissions

Learning Likelihood-Free Reference Priors
Nicholas George Bishop, Joel Dyer, Daniel Jarne Ornia, Ani Calinescu, Michael J. Wooldridge
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
SpatFormer: simulation-based inference with transformers for spatial statistics
Herman Tesso, Ayush Bharti, Elizaveta Semenova
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Improving Robustness to Model Misspecification in Bayesian Experimental Design
Alex Forster, Desi R. Ivanova, Tom Rainforth
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Semi-Supervised Bayesian Active Learning with Task-Driven Representations
Kianoosh Ashouritaklimi, Tom Rainforth
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Compact Memory for K-prior Based Continual Learning
Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Heteroscedastic Variational Last Layers
James Harrison, John Willes, Paul Brunzema, Jasper Snoek
- Published: 19 Mar 2025, Last Modified: 28 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Revisiting Influence Functions for Latent Variable Models using Variational Bayes
Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric Nalisnick
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Diffusion-based Sampling via Amortized Posterior Inference
Yi Han, Luhuan Wu, John Patrick Cunningham
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Observation Noise and Initialization in Wide Neural Networks
Sergio Calvo Ordoñez, Jonathan Plenk, Richard Bergna, Alvaro Cartea, José Miguel Hernández-Lobato, Konstantina Palla, Kamil Ciosek
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Stacking Variational Bayesian Monte Carlo
Francesco Silvestrin, Chengkun LI, Luigi Acerbi
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
Richard Bergna, Stefan Depeweg, Sergio Calvo Ordoñez, Jonathan Plenk, Alvaro Cartea, José Miguel Hernández-Lobato
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Are Your Continuous Approximations Really Continuous? Reimagining VI with Bitstring Representations
Aleksanteri Sladek, Martin Trapp, Arno Solin
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Tighter sparse variational Gaussian processes
Thang D Bui, Matthew Ashman, Richard E. Turner
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective
Jia-Jie Zhu
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
What Actually Matters for Materials Discovery: Pitfalls and Recommendations in Bayesian Optimization
Tristan Cinquin, Stanley Lo, Felix Strieth-Kalthoff, Alan Aspuru-Guzik, Geoff Pleiss, Robert Bamler, Tim G. J. Rudner, Vincent Fortuin, Agustinus Kristiadi
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Beyond Schrödinger Bridges: A Least-Squares Approach for Learning Stochastic Dynamics with Unknown Volatility
Renato Berlinghieri, Yunyi Shen, Tamara Broderick
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte, David Rügamer, Thomas Nagler
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Uncertainty Quantification for Prior-Fitted Networks using Martingale Posteriors
Thomas Nagler, David Rügamer
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs
Aliaksandra Shysheya, John F Bronskill, James Requeima, Shoaib Ahmed Siddiqui, Javier Gonzalez, David Duvenaud, Richard E. Turner
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Generative Uncertainty in Diffusion Models
Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Inference-Time Prior Adaptation in Simulation Based Inference via Guided Diffusion Models
Paul Edmund Chang, Severi Rissanen, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Luigi Acerbi
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Exploring Pseudo-Token Approaches in Transformer Neural Processes
Jose Miguel Lara Rangel, Nanze Chen, Fengzhe Zhang
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Variational diffusion transformers for conditional sampling of supernovae spectra
Yunyi Shen, Alexander Thomas Gagliano
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Learning Graph Structure for GNNs via Marginal Likelihood
Anita Yang, Thomas Möllenhoff, Ken-Ichi Kawarabayashi, Mohammad Emtiyaz Khan
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone
Approximate Posteriors in Neural Networks: A Sampling Perspective
Julius Kobialka, Emanuel Sommer, Juntae Kwon, Daniel Dold, David Rügamer
- Published: 19 Mar 2025, Last Modified: 25 Apr 2025
- AABI 2025 Workshop Track
- Readers: Everyone