Brian Karrer
12 papers · 2016–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5)
π
Academic Marathon
(9)
π
Cross-Pollinator
(15)
π
Century Club
(12)
π₯
Unstoppable
(6)
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Trend Setter
Conferences
ICLR (4)
ICML (3)
NIPS (3)
JMLR (1)
NSDI (1)
Top co-authors
Keywords
gaussian process
(2)
bayesian optimization
(2)
sample efficiency
(1)
online learning
(1)
matrix factorization
(1)
in-context learning
(1)
flow matching
(1)
exponential family
(1)
expected improvement
(1)
variance reduction
(1)
tensor factorization
(1)
extended kalman filter
(1)
acquisition function
(1)
membership inference
(1)
recommender system
(1)
renyi differential privacy
(1)
training data reconstruction
(1)
factorization machine
(1)
multilingual speech
(1)
speech generation
(1)
Papers
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
ICML 2025
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
ICLR 2025
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
ICLR 2025
D-Flow: Differentiating through Flows for Controlled Generation
ICML 2024
Generalized SchrΓΆdinger Bridge Matching
ICLR 2024
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
NIPS 2023
Bounding Training Data Reconstruction in Private (Deep) Learning
ICML 2022
The Decoupled Extended Kalman Filter for Dynamic Exponential-Family Factorization Models
JMLR 2021
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
NIPS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NIPS 2020
Social Hash: An Assignment Framework for Optimizing Distributed Systems Operations on Social Networks
NSDI 2016