Nicolas Beltran-Velez
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Taxonomy Completionist
(18)
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Models
(3)
Natural Language Processing
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Generation
(1)
Learning Paradigms
(1)
Keywords
large language model
(3)
in-context learning
(2)
uncertainty quantification
(1)
video generation
(1)
model behavior
(1)
neural network analysis
(1)
bayesian model
(1)
hypothesis testing
(1)
probabilistic prediction
(1)
gradient boosting
(1)
thompson sampling
(1)
posterior predictive
(1)
generative model
(1)
diffusion model
(1)
language model
(1)
circuit analysis
(1)
world model
(1)
generative ai
(1)
mechanistic interpretability
(1)
hallucination rate
(1)
Papers
Inference-time Physics Alignment of Video Generative Models with Latent World Models
CVPR 2026
Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
ICLR 2025
Estimating the Hallucination Rate of Generative AI
NeurIPS 2024
Hypothesis Testing the Circuit Hypothesis in LLMs
NeurIPS 2024
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages
ICML 2024
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees
NeurIPS 2024