ICLR 2025 Workshop FPI Submissions

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Oral
- Readers: Everyone
α-PFN: In-Context Learning Entropy Search
Tom Julian Viering, Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Carl Hvarfner, Frank Hutter, Eytan Bakshy
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Quasi-random Multi-Sample Inference for Large Language Models
Avinash Amballa, Aditya Parashar, Aditya Vikram Singh, Jinlin Lai, Benjamin Rozonoyer
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Wild posteriors in the wild
Yunyi Shen, Tamara Broderick
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Single-Step Consistent Diffusion Samplers
Pascal Jutras Dube, Patrick Pynadath, Ruqi Zhang
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Beyond Schrödinger Bridges: A Least-Squares Approach for Learning Stochastic Dynamics with Unknown Volatility
Renato Berlinghieri, Yunyi Shen, Tamara Broderick
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective
Jia-Jie Zhu
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
Jaeyeon Kim, Kulin Shah, Vasilis Kontonis, Sham M. Kakade, Sitan Chen
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Scaling Deep Learning Solutions for Transition Path Sampling
Jungyoon Lee, Michael Plainer, Yuanqi Du, Lars Holdijk, Rob Brekelmans, Dominique Beaini, Kirill Neklyudov
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Nested Slice Sampling
David Yallup, Namu Kroupa, Will Handley
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
DeepRV: pre-trained spatial priors for accelerated disease mapping.
Jhonathan Navott, Daniel Jenson, Seth Flaxman, Elizaveta Semenova
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Variational diffusion transformers for conditional sampling of supernovae spectra
Yunyi Shen, Alexander Thomas Gagliano
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Underdamped Diffusion Bridges with Applications to Sampling
Denis Blessing, Julius Berner, Lorenz Richter, Gerhard Neumann
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Oral
- Readers: Everyone
Generalised Parallel Tempering: Flexible Replica Exchange via Flows and Diffusions
Leo Zhang, Peter Potaptchik, George Deligiannidis, Arnaud Doucet, Hai-Dang Dau, Saifuddin Syed
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Rethinking the Training of Diffusion Bridge Samplers: Losses and Exploration
Sebastian Sanokowski, Christoph Bartmann, Lukas Gruber, Sepp Hochreiter, Sebastian Lehner
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Efficiently Warmstarting MCMC for BNNs
David Rundel, Emanuel Sommer, Bernd Bischl, David Rügamer, Matthias Feurer
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Ensemble Kalman Sampling and Diffusion Prior in Tandem: A Split Gibbs Framework
Austin Wang, Hongkai Zheng, Zihui Wu, Ricardo Baptista, Daniel Zhengyu Huang, Yisong Yue
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Amortized Posterior Sampling with Diffusion Prior Distillation
Abbas Mammadov, Hyungjin Chung, Jong Chul Ye
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Learning Decision Trees as Amortized Structure Inference
Mohammed Mahfoud, Ghait Boukachab, Michał Koziarski, Alex Hernández-García, Stefan Bauer, Yoshua Bengio, Nikolay Malkin
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- 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: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Inherent Exploration via Sampling for Stochastic Policies
Zhenpeng Shi, Chi Xu, Huaze Tang, Wenbo Ding
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers
Jiajun He, Yuanqi Du, Francisco Vargas, Dinghuai Zhang, Shreyas Padhy, RuiKang OuYang, Carla P Gomes, José Miguel Hernández-Lobato
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Low Stein Discrepancy via Message-Passing Monte Carlo
Nathan Kirk, T. Konstantin Rusch, Jakob Zech, Daniela Rus
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Performance Evaluation of the Tensor Train Sampler in ML QUBO-based ADMET Classification
Hadi Salloum, Kamil Sabbagh, Ruslan Lukin, Gleb Ryzhakov, Yaroslav Kholodov
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone