Thomas B. Schön
16 papers · 2014–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (11) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9)
🐝
Cross-Pollinator
(11)
🌈
Renaissance Researcher
(7)
🌉
Interdisciplinary Bridge
👑
Triple Crown
⚡
Prolific Year
(6)
🚀
Conference Pioneer
💎
Century Club
(16)
📈
Trend Setter
Conferences
AISTATS (5)
ICML (3)
UAI (2)
ECCV (1)
ICLR (1)
JMLR (1)
L4DC (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
sequential monte carlo
(2)
image restoration
(1)
particle markov chain monte carlo
(1)
bayesian inference
(1)
kl divergence
(1)
image denoising
(1)
importance sampling
(1)
state-space model
(1)
particle filter
(1)
linear quadratic regulator
(1)
probabilistic programming
(1)
score matching
(1)
image deblurring
(1)
ancestor sampling
(1)
convex optimization
(1)
regret bound
(1)
variational inference
(1)
entropy regularization
(1)
stochastic differential equation
(1)
offline reinforcement learning
(1)
Papers
Safe exploration in reproducing kernel Hilbert spaces
AISTATS 2025
Efficient Optimization Algorithms for Linear Adversarial Training
AISTATS 2025
Conditioning diffusion models by explicit forward-backward bridging
AISTATS 2025
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
NIPS 2024
On Feynman-Kac training of partial Bayesian neural networks
AISTATS 2024
Controlling Vision-Language Models for Multi-Task Image Restoration
ICLR 2024
No Double Descent in Principal Component Regression: A High-Dimensional Analysis
ICML 2024
Online learning in motion modeling for intra-interventional image sequences
MICCAI 2024
Uncertainty Estimation with Recursive Feature Machines
UAI 2024
Image Restoration with Mean-Reverting Stochastic Differential Equations
ICML 2023
Learning Proposals for Practical Energy-Based Regression
AISTATS 2022
Energy-Based Models for Deep Probabilistic Regression
ECCV 2020
Optimistic robust linear quadratic dual control
L4DC 2020
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
UAI 2019
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding
ICML 2019
Particle Gibbs with Ancestor Sampling
JMLR 2014