Alexandre Drouin
17 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Renaissance Researcher (6) ๐ Academic Marathon (12) ๐ Conference Polyglot (6) ๐บ๏ธ Taxonomy Completionist (27)
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Hot Topic Early Bird
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Conference Polyglot
(6)
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Academic Marathon
(12)
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Triple Crown
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Conference Pioneer
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Century Club
(17)
๐๏ธ
Keyword Collector
(51)
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The Questioner
Conferences
NIPS (6)
ICML (5)
CLEAR (2)
ICLR (2)
ECCV (1)
IJCAI (1)
Top co-authors
Keywords
causal discovery
(2)
active learning
(1)
remote sensing
(1)
representation learning
(1)
image classification
(1)
semantic segmentation
(1)
benchmark evaluation
(1)
excess risk
(1)
object detection
(1)
self-supervised learning
(1)
attention mechanism
(1)
margin-based learning
(1)
deep learning
(1)
out-of-distribution generalization
(1)
transformer architecture
(1)
generalization error
(1)
unsupervised learning
(1)
distributional robustness
(1)
object counting
(1)
time series analysis
(1)
Papers
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
ICML 2025
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
CLEAR 2025
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
ICLR 2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
ICML 2025
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
NIPS 2024
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
ICLR 2024
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
ICML 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring
NIPS 2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
ICML 2023
Typing assumptions improve identification in causal discovery
CLEAR 2022
TACTiS: Transformer-Attentional Copulas for Time Series
ICML 2022
Embedding Propagation: Smoother Manifold for Few-Shot Classification
ECCV 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
NIPS 2020
In search of robust measures of generalization
NIPS 2020
Differentiable Causal Discovery from Interventional Data
NIPS 2020
Maximum Margin Interval Trees
NIPS 2017
Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning
IJCAI 2013