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Pablo Lemos
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2020 – today
- 2024
- [c4]Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong:
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. ICML 2024 - [c3]Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur:
Improving Gradient-Guided Nested Sampling for Posterior Inference. ICML 2024 - [i16]Pablo Lemos, Sammy Sharief, Nikolay Malkin, Laurence Perreault Levasseur
, Yashar Hezaveh
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. CoRR abs/2402.04355 (2024) - [i15]Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. CoRR abs/2402.05098 (2024) - [i14]Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lázaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology. CoRR abs/2402.05137 (2024) - [i13]Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong:
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. CoRR abs/2402.06121 (2024) - [i12]Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose:
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR abs/2405.20313 (2024) - [i11]Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin:
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR abs/2405.20971 (2024) - 2023
- [j2]Pablo Lemos
Robust simulation-based inference in cosmology with Bayesian neural networks. Mach. Learn. Sci. Technol. 4(1): 01 (2023) - [j1]Pablo Lemos
Rediscovering orbital mechanics with machine learning. Mach. Learn. Sci. Technol. 4(4): 45002 (2023) - [c2]Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. ICML 2023: 18269-18300 - [c1]Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur:
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference. ICML 2023: 19256-19273 - [i10]Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin:
A theory of continuous generative flow networks. CoRR abs/2301.12594 (2023) - [i9]Pablo Lemos, Adam Coogan, Yashar Hezaveh
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference. CoRR abs/2302.03026 (2023) - [i8]Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik
Towards equilibrium molecular conformation generation with GFlowNets. CoRR abs/2310.14782 (2023) - [i7]Pablo Lemos, Liam Holden Parker, ChangHoon Hahn, Shirley Ho
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering. CoRR abs/2310.15256 (2023) - [i6]Noe Dia, M. J. Yantovski-Barth
Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR abs/2311.18012 (2023) - [i5]Pablo Lemos, Nikolay Malkin, Will Handley
Improving Gradient-guided Nested Sampling for Posterior Inference. CoRR abs/2312.03911 (2023) - 2022
- [i4]Pablo Lemos
Rediscovering orbital mechanics with machine learning. CoRR abs/2202.02306 (2022) - [i3]David Yallup, Will Handley, Mike Hobson, Anthony N. Lasenby
Split personalities in Bayesian Neural Networks: the case for full marginalisation. CoRR abs/2205.11151 (2022) - [i2]Harry T. J. Bevins, William J. Handley, Pablo Lemos, Peter H. Sims, Eloy de Lera Acedo, Anastasia Fialkov, Justin Alsing:
Removing the fat from your posterior samples with margarine. CoRR abs/2205.12841 (2022) - [i1]Pablo Lemos, Miles D. Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks. CoRR abs/2207.08435 (2022)
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