Brian Karrer

61 papers A* 16B 2C 1Misc 1Journal 41
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discrete Adjoint Matching.
CoRR
Oswin So, Brian Karrer, Chuchu Fan, Ricky T. Q. Chen, Guan-Horng Liu
2025 J jnl
Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking.
CoRR
Heli Ben-Hamu, Itai Gat, Daniel Severo, Niklas Nolte, Brian Karrer
2025 A* conf
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.
ICLR
Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
2025 A* conf
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.
ICML
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
2025 J jnl
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching.
CoRR
Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Brandon M. Wood, Daniel LeVine, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025 J jnl
Edit Flows: Flow Matching with Edit Operations.
CoRR
Marton Havasi, Brian Karrer, Itai Gat, Ricky T. Q. Chen
2025 B conf
Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression.
DCC
Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich
2025 A* conf
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective.
ICLR
Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
2025 J jnl
GLASS Flows: Transition Sampling for Alignment of Flow and Diffusion Models.
CoRR
Peter Holderrieth, Uriel Singer, Tommi S. Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer
2025 A* conf
Generator Matching: Generative modeling with arbitrary Markov processes.
ICLR
Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman
2025 J jnl
Learning Distributions over Permutations and Rankings with Factorized Representations.
CoRR
Daniel Severo, Brian Karrer, Niklas Nolte
2025 J jnl
Set Block Decoding is a Language Model Inference Accelerator.
CoRR
Itai Gat, Heli Ben-Hamu, Marton Havasi, Daniel Haziza, Jeremy Reizenstein, Gabriel Synnaeve, David Lopez-Paz, Brian Karrer, Yaron Lipman
2024 J jnl
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.
CoRR
Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
2024 A* conf
D-Flow: Differentiating through Flows for Controlled Generation.
ICML
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
2024 J jnl
D-Flow: Differentiating through Flows for Controlled Generation.
CoRR
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
2024 J jnl
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism.
J. Priv. Confidentiality
Arjun Wilkins, Daniel Kifer, Danfeng Zhang, Brian Karrer
2024 J jnl
Flow Matching Guide and Code.
CoRR
Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat
2024 J jnl
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective.
CoRR
Neta Shaul, Itai Gat, Marton Havasi, Daniel Severo, Anuroop Sriram, Peter Holderrieth, Brian Karrer, Yaron Lipman, Ricky T. Q. Chen
2024 A* conf
Generalized Schrödinger Bridge Matching.
ICLR
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
2024 J jnl
Generator Matching: Generative modeling with arbitrary Markov processes.
CoRR
Peter Holderrieth, Marton Havasi, Jason Yim, Neta Shaul, Itai Gat, Tommi S. Jaakkola, Brian Karrer, Ricky T. Q. Chen, Yaron Lipman
2024 J jnl
Sense and Sensitivity: Evaluating the simulation of social dynamics via Large Language Models.
CoRR
Da Ju, Adina Williams, Brian Karrer, Maximilian Nickel
2024 J jnl
Training-free linear image inverses via flows.
Trans. Mach. Learn. Res.
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
2023 J jnl
Generalized Schrödinger Bridge Matching.
CoRR
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
2023 B conf
HHVM Performance Optimization for Large Scale Web Services.
ICPE
Yuhao Li, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin C. Lee
2023 J jnl
Privately generating tabular data using language models.
CoRR
Alexandre Sablayrolles, Yue Wang, Brian Karrer
2023 J jnl
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.
CoRR
Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
2023 J jnl
Training-free Linear Image Inversion via Flows.
CoRR
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
2023 A* conf
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.
NeurIPS
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
2023 J jnl
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.
CoRR
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
2022 A* conf
Bounding Training Data Reconstruction in Private (Deep) Learning.
ICML
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten
2022 J jnl
Bounding Training Data Reconstruction in Private (Deep) Learning.
CoRR
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten
2022 J jnl
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism.
CoRR
Brian Karrer, Daniel Kifer, Arjun Wilkins, Danfeng Zhang
2021 A* conf
Network Experimentation at Scale.
KDD
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
2021 J jnl
The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models.
J. Mach. Learn. Res.
Carlos Alberto Gomez-Uribe, Brian Karrer
2020 A* conf
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.
NeurIPS
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
2020 A* conf
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees.
NeurIPS
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
2020 J jnl
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees.
CoRR
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
2020 J jnl
Network experimentation at scale.
CoRR
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
2019 J jnl
BoTorch: Programmable Bayesian Optimization in PyTorch.
CoRR
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
2018 J jnl
The decoupled extended Kalman filter for dynamic exponential-family factorization models.
CoRR
Carlos Alberto Gomez-Uribe, Brian Karrer
2017 J jnl
Constrained Bayesian Optimization with Noisy Experiments.
CoRR
Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy
2017 J jnl
End-to-end Planning of Fixed Millimeter-Wave Networks.
CoRR
Tim Danford, Onur Filiz, Jing Huang, Brian Karrer, Manohar Paluri, Guan Pang, Vish Ponnampalam, Nicolás Stier Moses, Birce Tezel
2017 J jnl
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner.
CoRR
Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita, Alessandro Presta, Yaroslav Akhremtsev
2017 J jnl
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner.
Proc. VLDB Endow.
Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita, Yaroslav Akhremtsev, Alessandro Presta
2016 A* conf
Compressing Graphs and Indexes with Recursive Graph Bisection.
KDD
Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita
2016 J jnl
Compressing Graphs and Indexes with Recursive Graph Bisection.
CoRR
Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita
2016 Misc conf
Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks.
NSDI
Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta, Aaron Adcock, Herald Kllapi, Michael Stumm
2014 J jnl
Design and analysis of experiments in networks: Reducing bias from interference.
CoRR
Dean Eckles, Brian Karrer, Johan Ugander
2014 J jnl
Percolation on sparse networks.
CoRR
Brian Karrer, Mark E. J. Newman, Lenka Zdeborová
2013 J jnl
Coauthorship and citation in scientific publishing
CoRR
Travis Martin, Brian Ball, Brian Karrer, M. E. J. Newman
2013 J jnl
Graph cluster randomization: network exposure to multiple universes
CoRR
Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg
2013 A* conf
Graph cluster randomization: network exposure to multiple universes.
KDD
Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg
2013 A* conf
Quantifying the invisible audience in social networks.
CHI
Michael S. Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer
2011 J jnl
An efficient and principled method for detecting communities in networks
CoRR
Brian Ball, Brian Karrer, M. E. J. Newman
2011 J jnl
Competing epidemics on complex networks
CoRR
Brian Karrer, M. E. J. Newman
2011 J jnl
The Anatomy of the Facebook Social Graph
CoRR
Johan Ugander, Brian Karrer, Lars Backstrom, Cameron Marlow
2011 A* conf
We know who you followed last summer: inferring social link creation times in twitter.
WWW
Brendan Meeder, Brian Karrer, Amin Sayedi, R. Ravi, Christian Borgs, Jennifer T. Chayes
2010 C conf
Game-Theoretic Models of Information Overload in Social Networks.
WAW
Christian Borgs, Jennifer T. Chayes, Brian Karrer, Brendan Meeder, R. Ravi, Ray E. Reagans, Amin Sayedi
2010 J jnl
Random graphs containing arbitrary distributions of subgraphs
CoRR
Brian Karrer, M. E. J. Newman
2010 J jnl
Stochastic blockmodels and community structure in networks
CoRR
Brian Karrer, M. E. J. Newman
2009 A* conf
Social influence and the diffusion of user-created content.
EC
Eytan Bakshy, Brian Karrer, Lada A. Adamic