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José Miguel Hernández-Lobato

Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption

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Feb 27, 2025
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Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination

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Feb 26, 2025
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Long-term Causal Inference via Modeling Sequential Latent Confounding

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Feb 26, 2025
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Towards Training One-Step Diffusion Models Without Distillation

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Feb 11, 2025
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No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers

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Feb 10, 2025
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Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach

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Dec 01, 2024
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A Deep Generative Model for the Design of Synthesizable Ionizable Lipids

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Dec 01, 2024
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On conditional diffusion models for PDE simulations

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Oct 21, 2024
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Training Neural Samplers with Reverse Diffusive KL Divergence

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Oct 16, 2024
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Batched Bayesian optimization with correlated candidate uncertainties

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Oct 08, 2024
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