Nikolay Malkin

N. Siddharth

CoRR, June, 2025

Fast Flow-based Visuomotor Policies via Conditional Optimal Transport Couplings.

[BibT_eX]

[DOI]

CoRR, May, 2025

Solving Bayesian inverse problems with diffusion priors and off-policy RL.

[BibT_eX]

[DOI]

Glen Berseth

CoRR, March, 2025

Learning Decision Trees as Amortized Structure Inference.

[BibT_eX]

[DOI]

Mohammed Mahfoud

Ghait Boukachab

Michal Koziarski

Alex Hernández-García

Stefan Bauer

CoRR, March, 2025

In-Context Parametric Inference: Point or Distribution Estimators?

[BibT_eX]

[DOI]

CoRR, February, 2025

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models.

[BibT_eX]

[DOI]

CoRR, February, 2025

From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training.

[BibT_eX]

[DOI]

CoRR, January, 2025

Can a Bayesian Oracle Prevent Harm from an Agent?

[BibT_eX]

[DOI]

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation.

[BibT_eX]

[DOI]

Yashar Hezaveh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Action abstractions for amortized sampling.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adaptive teachers for amortized samplers.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mixtures of In-Context Learners.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Improving and generalizing flow-based generative models with minibatch optimal transport.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

On Generalization for Generative Flow Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Machine learning and information theory concepts towards an AI Mathematician.

[BibT_eX]

[DOI]

CoRR, 2024

V-STaR: Training Verifiers for Self-Taught Reasoners.

[BibT_eX]

[DOI]

CoRR, 2024

On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling.

[BibT_eX]

[DOI]

CoRR, 2024

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation.

[BibT_eX]

[DOI]

Pablo Lemos

Sammy Sharief

Yashar Hezaveh

CoRR, 2024

Discrete Probabilistic Inference as Control in Multi-path Environments.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Amortizing intractable inference in diffusion models for vision, language, and control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improved off-policy training of diffusion samplers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Gradient-Guided Nested Sampling for Posterior Inference.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PhyloGFN: Phylogenetic inference with generative flow networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Expected flow networks in stochastic environments and two-player zero-sum games.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Amortizing intractable inference in large language models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Delta-AI: Local objectives for amortized inference in sparse graphical models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Simulation-Free Schrödinger Bridges via Score and Flow Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Discrete, compositional, and symbolic representations through attractor dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Thompson sampling for improved exploration in GFlowNets.

[BibT_eX]

[DOI]

CoRR, 2023

BatchGFN: Generative Flow Networks for Batch Active Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets.

[BibT_eX]

[DOI]

CoRR, 2023

Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2023

Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network.

[BibT_eX]

[DOI]

Tristan Deleu

Mizu Nishikawa-Toomey

Jithendaraa Subramanian

Laurent Charlin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Better Training of GFlowNets with Local Credit and Incomplete Trajectories.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning GFlowNets From Partial Episodes For Improved Convergence And Stability.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

GFlowOut: Dropout with Generative Flow Networks.

[BibT_eX]

[DOI]

Dianbo Liu

Moksh Jain

Bonaventure F. P. Dossou

Chris Chinenye Emezue

Proceedings of the International Conference on Machine Learning, 2023

A theory of continuous generative flow networks.

[BibT_eX]

[DOI]

Alex Hernández-García

Léna Néhale Ezzine

Proceedings of the International Conference on Machine Learning, 2023

GFlowNet-EM for Learning Compositional Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

GFlowNets and variational inference.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ThinkSum: Probabilistic reasoning over sets using large language models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Posterior samples of source galaxies in strong gravitational lenses with score-based priors.

[BibT_eX]

[DOI]

Yashar Hezaveh

CoRR, 2022

Unifying Generative Models with GFlowNets.

[BibT_eX]

[DOI]

CoRR, 2022

Resolving label uncertainty with implicit posterior models.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Trajectory balance: Improved credit assignment in GFlowNets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diffusion Models as Plug-and-Play Priors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generative Flow Networks for Discrete Probabilistic Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Coherence boosting: When your pretrained language model is not paying enough attention.

[BibT_eX]

[DOI]

Zhen Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Boosting coherence of language models.

[BibT_eX]

[DOI]

Zhen Wang

CoRR, 2021

High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest.

[BibT_eX]

[DOI]

Caleb Robinson

CoRR, 2021

GPT Perdetry Test: Generating new meanings for new words.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

From Local Algorithms to Global Results: Human-Machine Collaboration for Robust Analysis of Geographically Diverse Imagery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Studying word order through iterative shuffling.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Mining Self-similarity: Label Super-Resolution with Epitomic Representations.

[BibT_eX]

[DOI]

Anthony Ortiz