Karrer, Brian

15 publications

NeurIPS 2025 Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer

ICLR 2025 Adjoint Matching: Fine-Tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen

ICML 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

ICLRW 2025 Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Aaron J Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen

NeurIPS 2025 Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations Marton Havasi, Brian Karrer, Itai Gat, Ricky T. Q. Chen

ICLR 2025 Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen

ICLR 2025 Generator Matching: Generative Modeling with Arbitrary Markov Processes Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman

ICML 2024 D-Flow: Differentiating Through Flows for Controlled Generation Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman

ICLR 2024 Generalized Schrödinger Bridge Matching Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos Theodorou, Ricky T. Q. Chen

TMLR 2024 Training-Free Linear Image Inverses via Flows Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer

NeurIPS 2023 Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu

ICML 2022 Bounding Training Data Reconstruction in Private (Deep) Learning Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens Maaten

JMLR 2021 The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models Carlos A. Gomez-Uribe, Brian Karrer

NeurIPS 2020 BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat, Brian Karrer, Daniel Jiang, Samuel Daulton, Ben Letham, Andrew G Wilson, Eytan Bakshy

NeurIPS 2020 Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang, Daniel Jiang, Maximilian Balandat, Brian Karrer, Jacob Gardner, Roman Garnett