ICLR 2025 Workshop FPI Submissions

An Efficient On-Policy Deep Learning Framework for Stochastic Optimal Control
Mengjian Hua, Mathieu Lauriere, Eric Vanden-Eijnden
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Controllable Generation via Locally Constrained Resampling
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Atomic Posterior Ensembles for Simulation-Based Inference
Sam Griesemer, Willie Neiswanger, Yan Liu
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Self-Supervised Learning Encodes Uncertainty
Miguel De Llanza Varona, Ryan Singh, Christopher Buckley
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Tensor-Train Unsupervised Image Segmentation
Hadi Salloum, Kamil Sabbagh, Osama Orabi, Amine Trabelsi, Ruslan Lukin, Yaroslav Kholodov
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
Wei Guo, Molei Tao, Yongxin Chen
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Quantification vs. Reduction: On Evaluating Regression Uncertainty
Domokos M. Kelen, Ádám Jung, Andras A Benczur
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Score-Debiased Kernel Density Estimation
Elliot L Epstein, Rajat Vadiraj Dwaraknath, Thanawat Sornwanee, John Winnicki, Jerry Weihong Liu
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Breaking the Likelihood--Quality Trade-off in Diffusion Models by Merging Pretrained Experts
Yasin Esfandiari, Stefan Bauer, Sebastian U Stich, Andrea Dittadi
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
Charlie B. Tan, Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs
Hao Luan, See-Kiong Ng, Chun Kai Ling
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Greed is Good: Guided Generation from a Greedy Perspective
Zander W. Blasingame, Chen Liu
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Sampling through Algorithmic Diffusion in non-convex Perceptron problems
Elizaveta Demyanenko, Davide Straziota, Carlo Lucibello, Carlo Baldassi
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings
Sang T. Truong, Duc Quang Nguyen, Willie Neiswanger, Ryan-Rhys Griffiths, Stefano Ermon, Nick Haber, Sanmi Koyejo
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Follow Hamiltonian Leader: An Efficient Energy-Guided Sampling Method
Yunfei Teng, Sixin Zhang, Yao Li, Kai Chen, Di He, Qiwei Ye
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Phase-aware Training Schedule Simplifies Learning in Flow-Based Generative Models
Francesco Insulla, Santiago Aranguri
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
LEAPS: A discrete neural sampler via locally equivariant networks
Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Oral
- Readers: Everyone
Do You See the Shape? Diffusion Models for Noisy Radar Scattering Problems
Neel Sortur, Justin Goodwin, Rajmonda S. Caceres, Robin Walters
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Probabilistic video prediction using conditional score diffusion
Pierre-Etienne H Fiquet, Eero P Simoncelli
- Published: 06 Mar 2025, Last Modified: 09 Jun 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Score-Based Deterministic Density Sampling
Vasily Ilin, Bamdad Hosseini, Jingwei Hu
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
EQM-MPD: EQUIVARIANT ON-MANIFOLD MOTION PLANNING DIFFUSION
Evangelos Chatzipantazis, Nishanth Rao, Kostas Daniilidis
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Continuously Tempered Diffusion Samplers
Ezra Erives, Bowen Jing, Peter Holderrieth, Tommi Jaakkola
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone
Distributionally Robust Posterior Sampling - A Variational Bayes Approach
Bohan Wu, Bennett Zhu, David Blei
- Published: 06 Mar 2025, Last Modified: 02 May 2025
- FPI-ICLR2025 Oral
- Readers: Everyone
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
Paula Cordero Encinar, Tobias Schröder, Peter Yatsyshin, Andrew B. Duncan
- Published: 06 Mar 2025, Last Modified: 24 Apr 2025
- FPI-ICLR2025 Poster
- Readers: Everyone