Benedict Leimkuhler
4 papers · 2015–2022 · 3 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (15) 🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3)
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Academic Marathon
(7)
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Hot Topic Early Bird
🏆
Keyword Champion
(2)
📈
Trend Setter
Conferences
ICML (2)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
bayesian inference
(2)
langevin dynamics
(2)
stochastic differential equation
(2)
neural network optimization
(2)
markov chain monte carlo
(2)
posterior sampling
(1)
gradient descent
(1)
monte carlo sampling
(1)
stochastic gradient langevin dynamics
(1)
weight constraint
(1)
bayesian posterior inference
(1)
stochastic gradient langevin
(1)
orthogonality preservation
(1)
langevin thermostat
(1)
stochastic gradient
(1)
adaptive thermostat
(1)
stochastic gradient descent
(1)
feature learning
(1)
neural network training
(1)
transfer learning
(1)
Papers
Multirate Training of Neural Networks
ICML 2022
Better Training using Weight-Constrained Stochastic Dynamics
ICML 2021
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications
JMLR 2020
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
NIPS 2015