Alexandre Drouin
19 papers · 2013–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
🗺️ Taxonomy Completionist (41) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
👑
Triple Crown
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
❓
The Questioner
🚀
Conference Pioneer
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(87)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(8)
Deep Learning
(6)
Learning Types · Machine Learning
(5)
Optimization & Theory
(5)
Learning Types · Deep Learning
(4)
Data Science & Analytics
(3)
Application Areas
(3)
Methods
(3)
Knowledge & Reasoning
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Reasoning
(2)
Computer Vision
(1)
Keywords
causal discovery
(5)
probabilistic forecasting
(2)
latent variable model
(2)
transformer architecture
(2)
multivariate time series
(2)
semantic segmentation
(1)
image classification
(1)
active learning
(1)
decision making
(1)
representation learning
(1)
uncertainty quantification
(1)
object detection
(1)
self-supervised learning
(1)
attention mechanism
(1)
deep learning
(1)
bayesian inference
(1)
margin-based learning
(1)
out-of-distribution generalization
(1)
remote sensing
(1)
knowledge representation
(1)
Papers
Causal Discovery with Metadata-Informed Latent Types
UAI 2026
Learning a Spatial Partitioning and its Causal Relations from Temporal Data
CLeaR 2026
Context is Key: A Benchmark for Forecasting with Essential Textual Information
ICML 2025
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
ICML 2025
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
ICLR 2025
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
CLeaR 2025
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
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
NeurIPS 2024
GEO-Bench: Toward Foundation Models for Earth Monitoring
NeurIPS 2023
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
ICML 2023
TACTiS: Transformer-Attentional Copulas for Time Series
ICML 2022
Typing assumptions improve identification in causal discovery
CLeaR 2022
Differentiable Causal Discovery from Interventional Data
NeurIPS 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
ECCV 2020
In search of robust measures of generalization
NeurIPS 2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
NeurIPS 2020
Maximum Margin Interval Trees
NeurIPS 2017
Accelerated Robust Point Cloud Registration in Natural Environments through Positive and Unlabeled Learning
IJCAI 2013