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Workshop Sun, Dec 7, 2025 • 8:00 AM – 5:00 PM PST

Frontiers in Probabilistic Inference: Learning meets Sampling

Tara Akhound-Sadegh ⋅ Michael Albergo ⋅ Joey Bose ⋅ Marylou Gabrié ⋅ Louis Grenioux ⋅ Guan-Horng Liu ⋅ Kirill Neklyudov ⋅ Grant Rotskoff ⋅ Eva Smorodina ⋅ Alexander Tong
Project Page [ OpenReview] 

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Schedule

Timezone: America/Los_Angeles
9:20 AM
Coffee break
11:15 AM
Poster Session I
12:15 PM
Lunch
3:25 PM
Coffee break
Discrete Stochastic Localization for Non-Autoregressive Generation
Yunshu Wu ⋅ Jiayi Cheng ⋅ Rob Brekelmans ⋅ Vagelis Papalexakis ⋅ Greg Ver Steeg
Control Consistency Losses for Diffusion Bridges
Samuel Howard ⋅ Nikolas Nüsken ⋅ Jakiw Pidstrigach
Control Consistency Losses for Diffusion Bridges
Samuel Howard ⋅ Nikolas Nüsken ⋅ Jakiw Pidstrigach
Tokenised Flow Matching for Hierarchical Simulation Based Inference
Giovanni Charles ⋅ Seth Flaxman ⋅ Elizaveta Semenova ⋅ Oliver Watson
Learning Paths for Dynamic Transport: A Control Perspective
Aimee Maurais ⋅ Bamdad Hosseini ⋅ Youssef Marzouk
STARS: Segment-level Token Alignment via Rejection Sampling in Large Language Models
Mohammad Atif Quamar ⋅ Mohammad Areeb ⋅ Mikhail Kuznetsov ⋅ Muslum Ozmen ⋅ Z. Berkay Celik
Inference-time alignment of language models by importance sampling on pre-logit space
Sekitoshi Kanai ⋅ Kazumune Hashimoto ⋅ Tsukasa Yoshida
Model Agnostic Conditioning of Boltzmann Generators for Peptide Cyclization
Benjamin du Pont ⋅ Alex Abrudan ⋅ Rob Scrutton ⋅ Vladimir Radenkovic ⋅ Haowen Zhao ⋅ Tuomas Knowles
Model Agnostic Conditioning of Boltzmann Generators for Peptide Cyclization
Benjamin du Pont ⋅ Alex Abrudan ⋅ Rob Scrutton ⋅ Vladimir Radenkovic ⋅ Haowen Zhao ⋅ Tuomas Knowles
Compression Meets Sampling: On Energy-Efficient Random Variate Generation
Johann Ukrow ⋅ Anna Kazachkova ⋅ Nicolas Alder ⋅ Sven Köhler ⋅ Ralf Herbrich
torchgfn: A PyTorch GFlowNet library
Joseph Viviano ⋅ Omar G. Younis ⋅ Sanghyeok Choi ⋅ Victor Schmidt ⋅ Yoshua Bengio ⋅ Salem Lahlou
Weighted Conditional Flow Matching
Sergio Calvo Ordoñez ⋅ Matthieu Meunier ⋅ Alvaro Cartea ⋅ Christoph Reisinger ⋅ Yarin Gal ⋅ José Miguel Hernández-Lobato
Learning Discrete Distributions from Metastable Data via Pseudo-Likelihood
Abhijith Jayakumar ⋅ Andrey Lokhov ⋅ Sidhant Misra ⋅ Marc Vuffray
Ordered Diversity Sampling for Text
Ashish Tiwari ⋅ Mukul Singh ⋅ Ananya Singha ⋅ Arjun Radhakrishna
GNN-Guided Block Selection in Gibbs MCMC
Benjamin Dayan ⋅ Bhaskar Mishra ⋅ Justin Svegliato ⋅ Stuart J Russell
Uncertainty Weighted Deep Ensemble to Enhance Protein Property Prediction
Alif Bin Abdul Qayyum ⋅ Amir Hossein Rahmati ⋅ Xiaoning Qian ⋅ Byung-Jun Yoon
Value Matching: Scalable and Gradient-Free Reward-Guided Flow Adaptation
Cristian Jensen ⋅ Luca Schaufelberger ⋅ Riccardo De Santi ⋅ Kjell Jorner ⋅ Andreas Krause
e-SimFT: Pareto-Optimal Sampling of Generative Design Models Fine-tuned with Simulation Feedback
Hyunmin Cheong ⋅ Mohammadmehdi Ataei ⋅ Amir Khasahmadi ⋅ Pradeep Kumar Jayaraman
Multimarginal Flow Matching with Adversarially Learnt Interpolants
Oskar Kviman ⋅ Kirill Tamogashev ⋅ Nicola Branchini ⋅ Víctor Elvira ⋅ Jens Lagergren ⋅ Nikolay Malkin
GAP: Guided Diffusion for A Priori Transition State Sampling
Hyukjun Lim ⋅ Soojung Yang ⋅ Lucas Pinede ⋅ Miguel Steiner ⋅ Yuanqi Du ⋅ Rafael Gomez-Bombarelli
Data Generation without Function Estimation
Hadi Daneshmand ⋅ Ashkan Soleymani
Categorical Flow Matching via Simplex-to-Euclidean Bijections
Bernardo Williams ⋅ Victor Yeom-Song ⋅ Arto Klami
An Eulerian Perspective on Straight-Line Sampling
Panagiotis Tsimpos ⋅ Youssef Marzouk
Counterdiabatic Hamiltonian Monte Carlo
Reuben Cohn-Gordon ⋅ Uros Seljak ⋅ Dries Sels
Combined Representation and Generation with Diffusive State Prediction Information Bottleneck
Richard John ⋅ Yunrui Qiu ⋅ Lukas Herron ⋅ Pratyush Tiwary
Relative Trajectory Balance is equivalent to Trust-PCL
Tristan Deleu ⋅ Padideh Nouri ⋅ Yoshua Bengio ⋅ Doina Precup
Data-to-Energy Stochastic Dynamics
Kirill Tamogashev ⋅ Nikolay Malkin
A Unification of Discrete, Gaussian, and Simplicial Diffusion
Nuria Chandra ⋅ Alan Amin ⋅ Andrew Wilson
Sampling from Energy distributions with Target Concrete Score Identity
Sergei Kholkin ⋅ Francisco Vargas ⋅ Aleksandr Korotin
Robust Multi-task Modeling for Bayesian Optimization via In-Context Learning
Yucen Li ⋅ Samuel Daulton ⋅ Samuel Müller ⋅ Andrew Wilson ⋅ Eytan Bakshy
Sampling Strategies for Transformer-Based Mechanism Synthesis
Mohammadmehdi Ataei ⋅ Diana Bolanos ⋅ Pradeep Kumar Jayaraman
Pokie: Posterior Accuracy and Model Comparison
Sammy Sharief ⋅ Justine Zeghal ⋅ Gabriel Missael Barco ⋅ Pablo Lemos ⋅ Yashar Hezaveh ⋅ Laurence Perreault-Levasseur
Convergences guarantees of GFlowNets
Tristan Deleu ⋅ Yoshua Bengio
Variational Entropy Search is Just 1D Regression
Michael Pearce ⋅ Thomas Pollak ⋅ Luke Hudlass-Galley
Steering Pretrained Drafters during Speculative Decoding
Frédéric Berdoz ⋅ Peer Rheinboldt ⋅ Roger Wattenhofer
Machine-Learned Sampling of Conditioned Path Measures
Qijia Jiang ⋅ Reuben Cohn-Gordon
Generalized Constrained Flow Matching for Constraint-Aware Generative Modeling
JINHAO LIANG ⋅ Sandeep Madireddy ⋅ Ferdinando Fioretto
Towards Integrating Uncertainty for Domain-Agnostic Segmentation
Jesse Brouwers ⋅ Xiaoyan Xing ⋅ Alexander Timans
Token-Level Guided Discrete Diffusion for Membrane Protein Design
Shrey Goel ⋅ Peregrine Schray ⋅ Yinuo Zhang ⋅ Sophia Vincoff ⋅ Huong Kratochvil ⋅ Pranam Chatterjee
DDS-E-Sim: A Transformer-based Probabilistic Generative Framework for Simulating Error-Prone DNA Sequences for DNA Data Storage
Mst. Naznin ⋅ Swarup Sidhartho Mondol ⋅ Adnan Faruq ⋅ Debashmita Saha ⋅ Ahmed Rumi ⋅ A. B. M. Alim Al Islam
A Sampling-Based Domain Generalization Study with Diffusion Generative Models
Ye Zhu ⋅ Yu Wu ⋅ Duo Xu ⋅ Zhiwei Deng ⋅ Yan Yan ⋅ Olga Russakovsky
Can We Estimate The Entropy Of Arbitrary Distributions Known Up To A Normalization Constant?
Safa Messaoud ⋅ Skander Charni ⋅ Elaa Bouazza ⋅ Ali Pourghasemi Fatideh ⋅ Halima Bensmail
Learning Boltzmann Generators via Constrained Mass Transport
Christopher von Klitzing ⋅ Denis Blessing ⋅ Henrik Schopmans ⋅ Pascal Friederich ⋅ Gerhard Neumann
moPPIt-v3: Motif-Specific Peptides Generated via Multi-Objective-Guided Discrete Flow Matching
Tong Chen ⋅ Zachary Quinn ⋅ Yinuo Zhang ⋅ Pranam Chatterjee
Constrained Molecular Generation via Sequential Flow Model Fine-Tuning
Sven Gutjahr ⋅ Riccardo De Santi ⋅ Luca Schaufelberger ⋅ Kjell Jorner ⋅ Andreas Krause
Constrained Molecular Generation via Sequential Flow Model Fine-Tuning
Sven Gutjahr ⋅ Riccardo De Santi ⋅ Luca Schaufelberger ⋅ Kjell Jorner ⋅ Andreas Krause
Enhancing Diversity in Large Language Models via Determinantal Point Processes
Yilei Chen ⋅ Lorenz Wolf ⋅ Souradip Chakraborty ⋅ Aldo Pacchiano ⋅ Yannis Paschalidis
Adaptive Destruction Processes for Diffusion Samplers
Timofei Gritsaev ⋅ Nikita Morozov ⋅ Kirill Tamogashev ⋅ Daniil Tiapkin ⋅ Sergey Samsonov ⋅ Alexey Naumov ⋅ Dmitry Vetrov ⋅ Nikolay Malkin
Adaptive Destruction Processes for Diffusion Samplers
Timofei Gritsaev ⋅ Nikita Morozov ⋅ Kirill Tamogashev ⋅ Daniil Tiapkin ⋅ Sergey Samsonov ⋅ Alexey Naumov ⋅ Dmitry Vetrov ⋅ Nikolay Malkin
Entangled Schrödinger Bridge Matching
Sophia Tang ⋅ Yinuo Zhang ⋅ Pranam Chatterjee