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Eric Vanden-Eijnden

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

13

papers

379

total citations

papers (13)

Stochastic Interpolants with Data-Dependent Couplings

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

NEURIPS 2020arXiv

NETS: A Non-equilibrium Transport Sampler

Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes

Learning sparse features can lead to overfitting in neural networks

NEURIPS 2022arXiv

How to build a consistency model: Learning flow maps via self-distillation

NEURIPS 2025arXiv

A Dynamical Central Limit Theorem for Shallow Neural Networks

NEURIPS 2020arXiv

Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity

Multimarginal Generative Modeling with Stochastic Interpolants

Efficient Training of Energy-Based Models Using Jarzynski Equality

NEURIPS 2023arXiv

Learning Optimal Flows for Non-Equilibrium Importance Sampling

NEURIPS 2022arXiv

Multitask Learning with Stochastic Interpolants

NEURIPS 2025arXiv

Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy

NEURIPS 2025arXiv