Tim Genewein
14 papers · 2012–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (13)
π
Renaissance Researcher
(6)
π
Conference Polyglot
(6)
π
Academic Marathon
(13)
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Triple Crown
π§¬
Topic Evolution
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Trend Setter
ποΈ
Keyword Collector
(59)
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Conference Pioneer
π
Century Club
(14)
Conferences
ICML (4)
NIPS (4)
ICLR (3)
ACL (1)
CVPR (1)
UAI (1)
Top co-authors
Research topics
Keywords
wasserstein distance
(1)
stochastic optimization
(1)
active learning
(1)
representation learning
(1)
image classification
(1)
reinforcement learning
(1)
nonparametric bayesian
(1)
ensemble learning
(1)
bayesian inference
(1)
uncertainty quantification
(1)
optimal transport
(1)
attention mechanism
(1)
knowledge distillation
(1)
supervised learning
(1)
posterior distribution
(1)
gaussian process
(1)
game playing
(1)
conjugate prior
(1)
action value
(1)
meta learning
(1)
Papers
LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
ICML 2025
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
ICML 2025
Learning Universal Predictors
ICML 2024
Amortized Planning with Large-Scale Transformers: A Case Study on Chess
NIPS 2024
Language Modeling Is Compression
ICLR 2024
Self-Predictive Universal AI
NIPS 2023
Neural Networks and the Chomsky Hierarchy
ICLR 2023
Memory-Based Meta-Learning on Non-Stationary Distributions
ICML 2023
Randomized Positional Encodings Boost Length Generalization of Transformers
ACL 2023
Meta-trained agents implement Bayes-optimal agents
NIPS 2020
Sinkhorn AutoEncoders
UAI 2019
Variational Network Quantization
ICLR 2018
The Power of Ensembles for Active Learning in Image Classification
CVPR 2018
A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function
NIPS 2012