Markus Holzleitner
7 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Architectures
(4)
Core Methods
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
hopfield network
(3)
attention mechanism
(2)
unsupervised domain adaptation
(2)
parameter selection
(1)
model aggregation
(1)
multiple instance learning
(1)
partially observable markov decision process
(1)
density ratio estimation
(1)
time series forecasting
(1)
long short-term memory
(1)
language model
(1)
physics-informed learning
(1)
latent space
(1)
fluid dynamics
(1)
neural operator
(1)
physics simulation
(1)
spatiotemporal dynamics
(1)
pre-trained transformer
(1)
kernel methods
(1)
history representation
(1)
Papers
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
ICML 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
NeurIPS 2024
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
ICLR 2023
History Compression via Language Models in Reinforcement Learning
ICML 2022
Hopfield Networks is All You Need
ICLR 2021
MC-LSTM: Mass-Conserving LSTM
ICML 2021
Modern Hopfield Networks and Attention for Immune Repertoire Classification
NeurIPS 2020