Brian Karrer

12 papers · 2016–2025 · 5 venues · across top CS/AI venues

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Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

🧬 Topic Evolution 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (54)

Venues

ICLR (4) ICML (3) NeurIPS (3) JMLR (1) NSDI (1)

Top co-authors

Ricky T. Q. Chen (5) Yaron Lipman (4) Itai Gat (3) Neta Shaul (2) Anuroop Sriram (2) Maximilian Balandat (2) Daniel Jiang (2) Marton Havasi (2) Peter Holderrieth (2) Carles Domingo-Enrich (2)

Research topics

Machine Learning (9) Deep Learning (7) Models (7) Optimization & Theory (7) Mathematics & Optimization (3) Optimization (3) Artificial Intelligence (1) Application Areas (1) Architectures (1) Bayesian & Probabilistic (1) Core AI (1) Core Methods (1) Learning Paradigms (1)

Keywords

flow matching (5) diffusion model (3) generative modeling (2) bayesian optimization (2) stochastic optimal control (2) gaussian process (2) matrix factorization (1) variational inference (1) zero-shot learning (1) online learning (1) distribution matching (1) exponential family (1) expected improvement (1) variance reduction (1) gradient updates (1) conditional generation (1) tensor factorization (1) extended kalman filter (1) markov chain (1) in-context learning (1)

Papers

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control ICLR 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching ICML 2025 Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective ICLR 2025 Generator Matching: Generative modeling with arbitrary Markov processes ICLR 2025 D-Flow: Differentiating through Flows for Controlled Generation ICML 2024 Generalized Schrödinger Bridge Matching ICLR 2024 Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale NeurIPS 2023 Bounding Training Data Reconstruction in Private (Deep) Learning ICML 2022 The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models JMLR 2021 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NeurIPS 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees NeurIPS 2020 Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks NSDI 2016