Markus Holzleitner
7 papers · 2020–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(15)
🧭
Keyword Pioneer
🔥
Unstoppable
(5)
Conferences
ICML (3)
ICLR (2)
NIPS (2)
Top co-authors
Keywords
hopfield network
(2)
reinforcement learning
(1)
attention mechanism
(1)
unsupervised domain adaptation
(1)
parameter selection
(1)
model aggregation
(1)
multiple instance learning
(1)
partially observable markov decision process
(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)
pretrained transformer
(1)
spatio-temporal dynamics
(1)
history representation
(1)
eulerian simulation
(1)
Papers
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
ICML 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
NIPS 2024
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
ICLR 2023
History Compression via Language Models in Reinforcement Learning
ICML 2022
MC-LSTM: Mass-Conserving LSTM
ICML 2021
Hopfield Networks is All You Need
ICLR 2021
Modern Hopfield Networks and Attention for Immune Repertoire Classification
NIPS 2020