Brian Karrer
- Flow Matching Guide and Code
2024/12/09 by Yaron Lipman, Lipman, Yaron, Marton Havasi +18 · 10 voices · 80 citations
Decision Sciences · Computer Science · #Simulation Techniques and Applications #Software System Performance and Reliability
- The Anatomy of the Facebook Social Graph
2011/11/18 by Johan Ugander, Brian Karrer, Ugander, Johan +5 · 4 voices · 7 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #cs.SI #physics.soc-ph
- Constrained Bayesian Optimization with Noisy Experiments
2017/06/21 by Benjamin Letham, Letham, Benjamin, Brian Karrer +5 · 2 voices · 6 citations
Computer Science · Mathematics · #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.AP #stat.ML
- Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
2023/06/23 by Matthew Le, Le, Matthew, Apoorv Vyas +19 · 65 citations
Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Topic Modeling #electronic engineering #information engineering
- Compressing Graphs and Indexes with Recursive Graph Bisection
2016/02/29 by Laxman Dhulipala, Igor Kabiljo, Brian Karrer +3 · 1 voice · 4 citations
Computer Science · #Graph Theory and Algorithms #Algorithms and Data Compression #Caching and Content Delivery
- Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
2024/09/13 by Carles Domingo-Enrich, Michal Drozdzal, Domingo-Enrich, Carles +5 · 50 citations
Mathematics · Economics, Econometrics and Finance · #Markov Chains and Monte Carlo Methods #Stochastic processes and financial applications
- Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
2025/04/16 by Aaron Havens, Aaron M. Havens, Havens, Aaron +26 · 2 voices · 27 citations
Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Gaussian Processes and Bayesian Inference
- Design and analysis of experiments in networks: Reducing bias from\n interference
2014/04/29 by Dean Eckles, Brian Karrer, Eckles, Dean +3 · 7 citations
Mathematics · Social Sciences · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Methodology (stat.ME) #Physics and Society (physics.soc-ph) #School Choice and Performance #Social and Information Networks (cs.SI) #Statistical Methods and Bayesian Inference
- Graph cluster randomization: network exposure to multiple universes
2013/05/30 by Johan Ugander, Ugander, Johan, Brian Karrer +5 · 7 citations
Mathematics · Physics and Astronomy · Social Sciences · #Advanced Causal Inference Techniques #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Methodology (stat.ME) #Physics and Society (physics.soc-ph) #Social Media and Politics #Social and Information Networks (cs.SI)
- Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
2024/12/04 by Neta Shaul, Itai Gat, Shaul, Neta +15 · 1 voice · 17 citations
Engineering · #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies
- Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking
2025/05/30 by Heli Ben-Hamu, Ben-Hamu, Heli, Itai Gat +7 · 36 citations
Mathematics · Physics and Astronomy · #Statistical Methods and Inference #Model Reduction and Neural Networks #Numerical methods in inverse problems
- Generator Matching: Generative modeling with arbitrary Markov processes
2024/10/27 by Peter Holderrieth, Holderrieth, Peter, Marton Havasi +15 · 16 citations
Engineering · #Electric Power System Optimization
- Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
2023/09/05 by Lili Yu, Yu, Lili, Bowen Shi +51 · 7 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
- Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
2020/06/29 by Shali Jiang, Jiang, Shali, Daniel Jiang +9 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
- Bounding Training Data Reconstruction in Private (Deep) Learning
2022/01/28 by Chuan Guo, Brian Karrer, Guo, Chuan +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Generalized Schrödinger Bridge Matching
2023/10/03 by Guan-Horng Liu, Yaron Lipman, Liu, Guan-Horng +9 · 2 citations
Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC)
- Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner
2017/07/20 by Igor Kabiljo, Brian Karrer, Kabiljo, Igor +11 · 1 citation
Computer Science · Engineering · #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #Distributed #FOS: Computer and information sciences #Interconnection Networks and Systems #Parallel #VLSI and FPGA Design Techniques #and Cluster Computing (cs.DC)