Brian Karrer

Orcid: 0000-0002-6252-8332

According to our database¹, Brian Karrer authored at least 35 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Training-free linear image inverses via flows.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2024

Generator Matching: Generative modeling with arbitrary Markov processes.

[BibT_eX]

[DOI]

CoRR, 2024

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

[BibT_eX]

[DOI]

Carles Domingo-Enrich

Michal Drozdzal

Brian Karrer

Ricky T. Q. Chen

CoRR, 2024

D-Flow: Differentiating through Flows for Controlled Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalized Schrödinger Bridge Matching.

[BibT_eX]

[DOI]

Evangelos A. Theodorou

Ricky T. Q. Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Training-free Linear Image Inversion via Flows.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Privately generating tabular data using language models.

[BibT_eX]

[DOI]

Alexandre Sablayrolles

Yue Wang

Brian Karrer

CoRR, 2023

HHVM Performance Optimization for Large Scale Web Services.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bounding Training Data Reconstruction in Private (Deep) Learning.

[BibT_eX]

[DOI]

Chuan Guo

Brian Karrer

Kamalika Chaudhuri

Laurens van der Maaten

Proceedings of the International Conference on Machine Learning, 2022

2021

The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models.

[BibT_eX]

[DOI]

Carlos Alberto Gomez-Uribe

Brian Karrer

J. Mach. Learn. Res., 2021

Network Experimentation at Scale.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

BoTorch: Programmable Bayesian Optimization in PyTorch.

[BibT_eX]

[DOI]

CoRR, 2019

2017

Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2017

Constrained Bayesian Optimization with Noisy Experiments.

[BibT_eX]

[DOI]

CoRR, 2017

End-to-end Planning of Fixed Millimeter-Wave Networks.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

Compressing Graphs and Indexes with Recursive Graph Bisection.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Percolation on sparse networks.

[BibT_eX]

[DOI]

Brian Karrer

Mark E. J. Newman

Lenka Zdeborová

CoRR, 2014

Design and analysis of experiments in networks: Reducing bias from interference.

[BibT_eX]

[DOI]

Dean Eckles

Brian Karrer

Johan Ugander

CoRR, 2014

2013

Coauthorship and citation in scientific publishing

[BibT_eX]

[DOI]

CoRR, 2013

Graph cluster randomization: network exposure to multiple universes.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Quantifying the invisible audience in social networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2011

The Anatomy of the Facebook Social Graph

[BibT_eX]

[DOI]

CoRR, 2011

Competing epidemics on complex networks

[BibT_eX]

[DOI]

Brian Karrer

M. E. J. Newman

CoRR, 2011

An efficient and principled method for detecting communities in networks

[BibT_eX]

[DOI]

Brian Ball

Brian Karrer

M. E. J. Newman

CoRR, 2011

We know who you followed last summer: inferring social link creation times in twitter.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

Stochastic blockmodels and community structure in networks

[BibT_eX]

[DOI]

Brian Karrer

M. E. J. Newman

CoRR, 2010

Random graphs containing arbitrary distributions of subgraphs

[BibT_eX]

[DOI]

Brian Karrer

M. E. J. Newman

CoRR, 2010

Game-Theoretic Models of Information Overload in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Models for the Web-Graph - 7th International Workshop, 2010

2009

Social influence and the diffusion of user-created content.

[BibT_eX]

[DOI]

Eytan Bakshy

Brian Karrer

Lada A. Adamic

Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

Brian Karrer

Timeline

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