Giambattista Parascandolo
8 papers · 2017–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (10)
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(18)
📈
Trend Setter
Conferences
ICML (4)
ICLR (2)
NIPS (2)
Top co-authors
Keywords
symbolic regression
(2)
causal inference
(1)
generative modeling
(1)
domain generalization
(1)
transfer learning
(1)
causal reasoning
(1)
adaptive sampling
(1)
computational efficiency
(1)
machine learning
(1)
temporal abstraction
(1)
recurrent neural network
(1)
prediction interval
(1)
generative adversarial network
(1)
causal mechanism
(1)
training stability
(1)
ordinary differential equation
(1)
equation discovery
(1)
irregular sampling
(1)
search algorithm
(1)
gan training
(1)
Papers
Predicting Ordinary Differential Equations with Transformers
ICML 2023
A teacher-student framework to distill future trajectories
ICLR 2021
Neural Symbolic Regression that scales
ICML 2021
Learning explanations that are hard to vary
ICLR 2021
Learning Independent Causal Mechanisms
ICML 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
NIPS 2018
Tempered Adversarial Networks
ICML 2018
Avoiding Discrimination through Causal Reasoning
NIPS 2017