Giambattista Parascandolo
8 papers · 2017–2023 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (22)
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Keyword Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Core Methods
(4)
Learning Types
(3)
Architectures
(2)
Learning Paradigms
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Mathematics
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
symbolic regression
(2)
causal inference
(1)
generative modeling
(1)
domain generalization
(1)
transfer learning
(1)
causal reasoning
(1)
knowledge distillation
(1)
trajectory prediction
(1)
loss landscape
(1)
adaptive sampling
(1)
computational efficiency
(1)
machine learning
(1)
temporal abstraction
(1)
dynamical system
(1)
recurrent neural network
(1)
prediction interval
(1)
generative adversarial network
(1)
causal mechanism
(1)
training stability
(1)
teacher-student framework
(1)
Papers
Predicting Ordinary Differential Equations with Transformers
ICML 2023
A teacher-student framework to distill future trajectories
ICLR 2021
Learning explanations that are hard to vary
ICLR 2021
Neural Symbolic Regression that scales
ICML 2021
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
NeurIPS 2018
Learning Independent Causal Mechanisms
ICML 2018
Tempered Adversarial Networks
ICML 2018
Avoiding Discrimination through Causal Reasoning
NeurIPS 2017