Author

Jose Miguel Hernández-Lobato

Observed names: Hernández-Lobato, Jose Miguel, Hernández-Lobato, José Miguel, José Miguel Hernández-Lobato

Institution: University of Cambridge

Observed institution: University of Cambridge

OpenAlex ID: A5124939607

Gaussian Process Vine Copulas for Multivariate Dependence

2013 · Lopez-Paz, David, Hernández-Lobato, José Miguel, et al. · arXiv (Cornell University) · 34

PDF

Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations

2026 · Shi, Dai, Lin, Lequan, et al. · arXiv (Cornell University) · 6

PDF

A Diffusive Classification Loss for Learning Energy-based Generative Models

2026 · OuYang, RuiKang, Grenioux, Louis, et al. · arXiv (Cornell University) · 4

PDF

Feature Superposition in Neural Networks: From Theory to Practice

2026 · Shi, Dai, Li, Xiaoyu, et al. · arXiv (Cornell University) · 2

PDF

Free energy Estimation on Any State Space

2026 · He, Jiajun, Ou, Zijing, et al. · arXiv (Cornell University) · 2

PDF

Richer Bayesian Last Layers with Subsampled NTK Features

2026 · Calvo-Ordoñez, Sergio, Plenk, Jonathan, et al. · arXiv (Cornell University) · 2

PDF

Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations

2026 · Shi, Dai, Thompson, Luke, et al. · arXiv (Cornell University) · 1

PDF

Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models

2026 · Guo, Zongyu, He, Jiajun, et al. · arXiv (Cornell University) · 1

PDF

Activation-Space Uncertainty Quantification for Pretrained Networks

2026 · Bergna, Richard, Depeweg, Stefan, et al. · arXiv (Cornell University) · 1

PDF

SupportCal: Label-Free Calibration of Post-Trained LLMs via Reference Support and Corroboration

2026 · Luo, Linhan, Lin, Lequan, et al. · arXiv (Cornell University)

PDF

Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

2026 · Hu, Jinli, Clarke, Ross M., et al. · arXiv (Cornell University)

PDF

When the Canonical Completion Is Wrong: Formalizing and Measuring the Jump in Large Language Models

2026 · Shi, Dai, Li, Xiaoyu, et al. · arXiv (Cornell University)

PDF

Evaluating the Diversity of AI-Generated Content with Diversity Profiles

2026 · Hu, Xiuyuan, Hou, Xuege, et al. · arXiv (Cornell University)

PDF

Decoupled PFNs: Identifiable Epistemic-Aleatoric Decomposition via Structured Synthetic Priors

2026 · Bergna, Richard, Depeweg, Stefan, et al. · arXiv (Cornell University)

PDF

Stochastic Interpolants in Hilbert Spaces

2026 · Yu, James Boran, OuYang, RuiKang, et al. · arXiv (Cornell University)

PDF

FEAT: Free energy Estimators with Adaptive Transport

2025 · Yuanqi Du, Jiajun He, et al. · neural information processing systems

Works count: 16

Citation count: 53

H-index: 3

I10-index: 1