Tim Pearce
10 papers · 2018–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver 𧬠Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(65)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Artificial Intelligence
(6)
Learning Types Β· Machine Learning
(5)
Reinforcement Learning
(4)
Core Methods
(4)
Methods
(4)
Optimization & Theory
(4)
Architectures
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Applications
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Keywords
reinforcement learning
(3)
imitation learning
(2)
ensemble method
(2)
diffusion model
(2)
policy optimization
(2)
gaussian process
(2)
bayesian neural network
(2)
kernel methods
(2)
world model
(2)
uncertainty quantification
(2)
policy learning
(2)
prior knowledge
(1)
model uncertainty
(1)
sample efficiency
(1)
probabilistic inference
(1)
approximate inference
(1)
reward function
(1)
survival analysis
(1)
kernel combination
(1)
bayesian inference
(1)
Papers
Scaling Laws for Pre-training Agents and World Models
ICML 2025
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
NeurIPS 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
Diffusion for World Modeling: Visual Details Matter in Atari
NeurIPS 2024
Imitating Human Behaviour with Diffusion Models
ICLR 2023
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
NeurIPS 2022
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI 2021
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
AISTATS 2020
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
ICML 2018