Brian Karrer

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Language Generation

Efficient Optimization

Extended Kalman Filter

Top Venues

Proc. VLDB Endow.

Publications

Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
Generalized Schrödinger Bridge Matching. ICLR (2024)
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
Training-free linear image inverses via flows. Trans. Mach. Learn. Res. 2024 (2024)
Heli Ben-Hamu, Omri Puny, Itai Gat, Brian Karrer, Uriel Singer, Yaron Lipman
D-Flow: Differentiating through Flows for Controlled Generation. CoRR (2024)
Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer
Training-free Linear Image Inversion via Flows. CoRR (2023)
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. CoRR (2023)
Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos A. Theodorou, Ricky T. Q. Chen
Generalized Schrödinger Bridge Matching. CoRR (2023)
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. NeurIPS (2023)
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
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR (2023)
Alexandre Sablayrolles, Yue Wang, Brian Karrer
Privately generating tabular data using language models. CoRR (2023)
Yuhao Li, Abhishek Gupta, Alex Yang, Peinan Chen, Joey Pinto, Brian Karrer, Mayank Pundir, Maximilian Balandat, Arun Kejariwal, Benjamin Lee
HHVM Performance Optimization for Large Scale Web Services. ICPE (2023)
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten
Bounding Training Data Reconstruction in Private (Deep) Learning. ICML (2022)
Brian Karrer, Daniel Kifer, Arjun Wilkins, Danfeng Zhang
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. CoRR (2022)
Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten
Bounding Training Data Reconstruction in Private (Deep) Learning. CoRR (2022)
Carlos Alberto Gomez-Uribe, Brian Karrer
The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models. J. Mach. Learn. Res. 22 (2021)
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
Network Experimentation at Scale. KDD (2021)
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. CoRR (2020)
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization. NeurIPS (2020)
Shali Jiang, Daniel R. Jiang, Maximilian Balandat, Brian Karrer, Jacob R. Gardner, Roman Garnett
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees. NeurIPS (2020)
Brian Karrer, Liang Shi, Monica Bhole, Matt Goldman, Tyrone Palmer, Charlie Gelman, Mikael Konutgan, Feng Sun
Network experimentation at scale. CoRR (2020)
Maximilian Balandat, Brian Karrer, Daniel R. Jiang, Samuel Daulton, Benjamin Letham, Andrew Gordon Wilson, Eytan Bakshy
BoTorch: Programmable Bayesian Optimization in PyTorch. CoRR (2019)
Carlos Alberto Gomez-Uribe, Brian Karrer
The decoupled extended Kalman filter for dynamic exponential-family factorization models. CoRR (2018)
Tim Danford, Onur Filiz, Jing Huang, Brian Karrer, Manohar Paluri, Guan Pang, Vish Ponnampalam, Nicolás Stier Moses, Birce Tezel
End-to-end Planning of Fixed Millimeter-Wave Networks. CoRR (2017)
Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy
Constrained Bayesian Optimization with Noisy Experiments. CoRR (2017)
Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita, Yaroslav Akhremtsev, Alessandro Presta
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner. Proc. VLDB Endow. 10 (11) (2017)
Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita, Alessandro Presta, Yaroslav Akhremtsev
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner. CoRR (2017)
Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita
Compressing Graphs and Indexes with Recursive Graph Bisection. KDD (2016)
Laxman Dhulipala, Igor Kabiljo, Brian Karrer, Giuseppe Ottaviano, Sergey Pupyrev, Alon Shalita
Compressing Graphs and Indexes with Recursive Graph Bisection. CoRR (2016)
Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Alessandro Presta, Aaron Adcock, Herald Kllapi, Michael Stumm
Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks. NSDI (2016)
Dean Eckles, Brian Karrer, Johan Ugander
Design and analysis of experiments in networks: Reducing bias from interference. CoRR (2014)
Brian Karrer, Mark E. J. Newman, Lenka Zdeborová
Percolation on sparse networks. CoRR (2014)
Michael S. Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer
Quantifying the invisible audience in social networks. CHI (2013)
Travis Martin, Brian Ball, Brian Karrer, M. E. J. Newman
Coauthorship and citation in scientific publishing CoRR (2013)
Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg
Graph cluster randomization: network exposure to multiple universes CoRR (2013)
Johan Ugander, Brian Karrer, Lars Backstrom, Jon M. Kleinberg
Graph cluster randomization: network exposure to multiple universes. KDD (2013)
Brendan Meeder, Brian Karrer, Amin Sayedi, R. Ravi, Christian Borgs, Jennifer T. Chayes
We know who you followed last summer: inferring social link creation times in twitter. WWW (2011)
Johan Ugander, Brian Karrer, Lars Backstrom, Cameron Marlow
The Anatomy of the Facebook Social Graph CoRR (2011)
Brian Karrer, M. E. J. Newman
Competing epidemics on complex networks CoRR (2011)
Brian Ball, Brian Karrer, M. E. J. Newman
An efficient and principled method for detecting communities in networks CoRR (2011)
Christian Borgs, Jennifer T. Chayes, Brian Karrer, Brendan Meeder, R. Ravi, Ray E. Reagans, Amin Sayedi
Game-Theoretic Models of Information Overload in Social Networks. WAW (2010)
Brian Karrer, M. E. J. Newman
Random graphs containing arbitrary distributions of subgraphs CoRR (2010)
Brian Karrer, M. E. J. Newman
Stochastic blockmodels and community structure in networks CoRR (2010)
Eytan Bakshy, Brian Karrer, Lada A. Adamic
Social influence and the diffusion of user-created content. EC (2009)