Pablo Lemos
8 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(7)
Models
(7)
Optimization & Theory
(6)
Learning Types
(4)
Bayesian & Probabilistic
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
generative model
(3)
diffusion model
(3)
generative flow network
(3)
variational inference
(3)
posterior inference
(2)
amortized inference
(2)
flow matching
(1)
text-to-image generation
(1)
probabilistic modeling
(1)
parameter inference
(1)
protein design
(1)
score matching
(1)
continuous state space
(1)
model comparison
(1)
simulation-based inference
(1)
bayesian inference
(1)
markov chain monte carlo
(1)
energy function
(1)
reinforcement learning from human feedback
(1)
offline reinforcement learning
(1)
Papers
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
ICLR 2025
Amortizing intractable inference in diffusion models for vision, language, and control
NeurIPS 2024
Improved off-policy training of diffusion samplers
NeurIPS 2024
Improving Gradient-Guided Nested Sampling for Posterior Inference
ICML 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
ICML 2024
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation
NeurIPS 2024
A theory of continuous generative flow networks
ICML 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
ICML 2023