Peter Holderrieth

5 papers · 2021–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (12)

Venues

ICLR (2) ICML (2) NeurIPS (1)

Top co-authors

Tommi Jaakkola (3) Marton Havasi (2) Ricky T. Q. Chen (2) Itai Gat (2) Brian Karrer (2) Yaron Lipman (2) Neta Shaul (2) Anuroop Sriram (1) Yee Whye Teh (1) Yilun Xu (1)

Research topics

Deep Learning (5) Machine Learning (4) Models (4) Optimization & Theory (3) Artificial Intelligence (2) Bayesian & Probabilistic · Artificial Intelligence (2) Architectures (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Core Methods (1) Learning Paradigms (1)

Keywords

flow matching (2) generative modeling (2) transfer learning (1) gaussian process (1) markov chain (1) score matching (1) diffusion model (1) energy-based model (1) discrete diffusion (1) equivariant learning (1) jump process (1) generative flow (1) markov process (1) continuous-time markov chain (1) importance weight (1) probability path (1) hamiltonian dynamics (1) multi-layer perceptron (1) neural process (1) multimodal generation (1)

Papers

Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective ICLR 2025 Generator Matching: Generative modeling with arbitrary Markov processes ICLR 2025 LEAPS: A discrete neural sampler via locally equivariant networks ICML 2025 Hamiltonian Score Matching and Generative Flows NeurIPS 2024 Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021