Alexander Neitz
7 papers · 2018–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10)
🌈
Renaissance Researcher
(5)
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Conferences
ICLR (3)
ICML (2)
NIPS (2)
Top co-authors
Keywords
symbolic regression
(2)
reinforcement learning
(1)
policy optimization
(1)
adaptive sampling
(1)
computational efficiency
(1)
value function
(1)
variance reduction
(1)
temporal abstraction
(1)
temporal difference
(1)
recurrent neural network
(1)
prediction interval
(1)
advantage estimation
(1)
actor-critic method
(1)
ordinary differential equation
(1)
equation discovery
(1)
irregular sampling
(1)
search algorithm
(1)
sequence-to-sequence model
(1)
causal representation
(1)
dynamical model
(1)
Papers
Predicting Ordinary Differential Equations with Transformers
ICML 2023
Direct Advantage Estimation
NIPS 2022
Learning explanations that are hard to vary
ICLR 2021
Neural Symbolic Regression that scales
ICML 2021
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
ICLR 2021
A teacher-student framework to distill future trajectories
ICLR 2021
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
NIPS 2018