Mattia Rigotti
14 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(34)
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(14)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(59)
Conferences
NIPS (6)
ICLR (3)
ICML (2)
AAAI (1)
ACL (1)
IJCAI (1)
Top co-authors
Keywords
optimal transport
(4)
stochastic dominance
(2)
kernel methods
(2)
reinforcement learning
(1)
adversarial robustness
(1)
neural network training
(1)
image segmentation
(1)
feature selection
(1)
uncertainty quantification
(1)
compositional generalization
(1)
preference alignment
(1)
sample complexity
(1)
feature matching
(1)
policy learning
(1)
domain adaptation
(1)
semantic segmentation
(1)
model interpretability
(1)
distribution matching
(1)
hypothesis testing
(1)
representation learning
(1)
Papers
Unraveling the Key Components of OOD Generalization via Diversification
ICLR 2024
Probabilistic Feature Matching for Fast Scalable Visual Prompting
IJCAI 2024
Risk Aware Benchmarking of Large Language Models
ICML 2024
On the generalization capacity of neural networks during generic multimodal reasoning
ICLR 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
NIPS 2024
Distributional Preference Alignment of LLMs via Optimal Transport
NIPS 2024
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications
ACL 2023
Compositional generalization through abstract representations in human and artificial neural networks
NIPS 2022
Attention-based Interpretability with Concept Transformers
ICLR 2022
Self-correcting Q-learning
AAAI 2021
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
NIPS 2021
Unbalanced Sobolev Descent
NIPS 2020
Sobolev Independence Criterion
NIPS 2019
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
ICML 2019