Ambroise Odonnat
5 papers · 2024–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Keywords
multivariate time series
(2)
zero-shot learning
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
in-context learning
(1)
transformer
(1)
sharpness-aware minimization
(1)
markov decision process
(1)
time series forecasting
(1)
matrix norms
(1)
distribution shift
(1)
multi-task regression
(1)
random matrix theory
(1)
out-of-distribution detection
(1)
soft label
(1)
long-term forecasting
(1)
ensemble diversity
(1)
sample selection bia
(1)
confidence measure
(1)
accuracy estimation
(1)
Papers
Zero-shot Model-based Reinforcement Learning using Large Language Models
ICLR 2025
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting
NeurIPS 2024
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias
AISTATS 2024
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
NeurIPS 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
ICML 2024