List of Papers
Note that only papers in the proceedings track are archieved. Links to the PDFs to follow.
Proceedings Track
| No. | Remark | Paper |
|---|---|---|
| 1 | Talk + Poster | Divide, Conquer, Combine Bayesian Decision Tree Sampling Jodie Anne Cochrane, Adrian Wills, Sarah J Johnson |
| 2 | Talk + Poster | U-ensembles: Improved diversity in the small data regime using unlabeled data Konstantinos Pitas, Julyan Arbel |
| 3 | Talk + Poster | From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning Zhe Huang, Simone Rossi, Rui Yuan, Thomas Hannagan |
| 4 | Talk + Poster | Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations Chengkun LI, Bobby Huggins, Petrus Mikkola, Luigi Acerbi |
| 5 | Talk + Poster | Deep Q-Exponential Processes Zhi Chang, Chukwudi Paul Obite, Shuang Zhou, Shiwei Lan |
| 6 | Talk + Poster | Sparse Gaussian Neural Processes Tommy Rochussen, Vincent Fortuin |
| 7 | Talk + Poster | Massively Parallel Expectation Maximization For Approximate Posteriors Thomas Heap, Sam Bowyer, Laurence Aitchison |
Workshop Track
Not archieved.
| No. | Remark | Paper |
|---|---|---|
| 1 | Poster | Approximate Posteriors in Neural Networks: A Sampling Perspective Julius Kobialka, Emanuel Sommer, Juntae Kwon, Daniel Dold, David Rügamer |
| 2 | Poster | Variational diffusion transformers for conditional sampling of supernovae spectra Yunyi Shen, Alexander Thomas Gagliano |
| 3 | Poster | 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 |
| 4 | Poster | Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective Jia-Jie Zhu |
| 5 | Poster | Variational Learning Induces Adaptive Label Smoothing Sin-Han Yang, Zhedong Liu, Gian Maria Marconi, Mohammad Emtiyaz Khan |
| 6 | Poster | Compact Memory for K-prior Based Continual Learning Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Möllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan |
| 7 | Poster | Improving Robustness to Model Misspecification in Bayesian Experimental Design Alex Forster, Desi R. Ivanova, Tom Rainforth |
| 8 | Poster | SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth |
| 9 | Poster | Semantic Calibration of LLMs Through the Lens of Temperature Scaling Tom A. Lamb, Desi R. Ivanova, Philip Torr, Tim G. J. Rudner |
| 10 | Poster | 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 |
| 11 | Poster | Adjustment for Confounding using Pre-Trained Representations Rickmer Schulte, David Rügamer, Thomas Nagler |
| 12 | Poster | Uncertainty Quantification for Prior-Fitted Networks using Martingale Posteriors Thomas Nagler, David Rügamer |
| 13 | Poster | Exploring Pseudo-Token Approaches in Transformer Neural Processes Jose Miguel Lara Rangel, Nanze Chen, Fengzhe Zhang |
| 14 | Poster | Semi-Supervised Bayesian Active Learning with Task-Driven Representations Kianoosh Ashouritaklimi, Tom Rainforth |
| 15 | Poster | 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 |
| 16 | Poster | Learning Likelihood-Free Reference Priors Nicholas George Bishop, Joel Dyer, Daniel Jarne Ornia, Ani Calinescu, Michael J. Wooldridge |
| 17 | Poster | Neural Flow Samplers with Shortcut Models Wuhao Chen, Zijing Ou, Yingzhen Li |
| 18 | Poster | 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 |
| 19 | Poster | Learning Graph Structure for GNNs via Marginal Likelihood Anita Yang, Thomas Möllenhoff, Ken-Ichi Kawarabayashi, Mohammad Emtiyaz Khan |
| 20 | Poster | Variational Bayes Portfolio Construction Nicolas Nguyen, James Ridgway, Claire Vernade |
| 21 | Poster | Estimating the Data-Influence of Latent Variable Models using Variational Bayes Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric Nalisnick |
| 22 | Poster | Are Your Continuous Approximations Really Continuous? Reimagining VI with Bitstring Representations Aleksanteri Sladek, Martin Trapp, Arno Solin |
| 23 | Poster | Simulation-based inference with diffusion models for spatial statistics Herman Tesso, Ayush Bharti, Elizaveta Semenova |
| 24 | Poster | Tighter sparse variational Gaussian processes Thang D Bui, Matthew Ashman, Richard E. Turner |
| 25 | Poster | Stacking Variational Bayesian Monte Carlo Francesco Silvestrin, Chengkun LI, Luigi Acerbi |
| 26 | Poster | Sampling with diffusion models by amortizing posterior inference Yi Han, Luhuan Wu, John Patrick Cunningham |
| 27 | Poster | Heteroscedastic Variational Last Layers James Harrison, John Willes, Paul Brunzema, Jasper Snoek |
| 28 | Poster | Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE Aditya Ravuri, Neil D Lawrence |
| 29 | Poster | Beyond Schrödinger Bridges: A Least-Squares Approach for Learning Stochastic Dynamics with Unknown Volatility Renato Berlinghieri, Yunyi Shen, Tamara Broderick |
| 30 | Poster | Generative Uncertainty in Diffusion Models Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt |
| 31 | Poster | 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 |
| 32 | Poster | Recurrent Memory for Online Interdomain Gaussian Processes Wenlong Chen, Naoki Kiyohara, Harrison Zhu, Yingzhen Li |
| 33 | Poster | Transcending Bayesian Inference: Transformers Extrapolate Rules Compositionally Under Model Misspecification Szilvia Ujváry, Anna Mészáros, Wieland Brendel, Patrik Reizinger, Ferenc Huszár |