Nikolay Malkin

CoRR, 2024

Discrete Probabilistic Inference as Control in Multi-path Environments.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

[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

Laurence Perreault Levasseur

Yashar Hezaveh

CoRR, 2024

2023

Improving Gradient-guided Nested Sampling for Posterior Inference.

[BibT_eX]

[DOI]

Laurence Perreault Levasseur

CoRR, 2023

PhyloGFN: Phylogenetic inference with generative flow networks.

[BibT_eX]

[DOI]

CoRR, 2023

Amortizing intractable inference in large language models.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Discrete, compositional, and symbolic representations through attractor dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Simulation-free Schrödinger bridges via score and flow matching.

[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

Laurence Perreault Levasseur

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