Nicolas Chapados
17 papers · 2003–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (39) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Ultra 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Grand Slam
🧬
Topic Evolution
👥
Mega-Team · Squad
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Keyword Champion
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(3)
👑
Triple Crown
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
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The Questioner
⚡
Prolific Year · Productive
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(92)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Deep Learning
(7)
Core AI
(7)
Data Science & Analytics
(5)
Methods
(5)
Optimization & Theory
(5)
Application Areas
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Natural Language Processing
(3)
Applications
(3)
Architectures
(3)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic
(2)
Keywords
transformer architecture
(3)
time series forecasting
(3)
benchmark evaluation
(2)
multivariate time series
(2)
time series
(2)
document understanding
(2)
large language model
(2)
probabilistic forecasting
(2)
few-shot learning
(1)
decision making
(1)
metric learning
(1)
gaussian processes
(1)
feature selection
(1)
attention mechanism
(1)
representation learning
(1)
bayesian inference
(1)
language model evaluation
(1)
benchmark suite
(1)
multimodal learning
(1)
approximate inference
(1)
Papers
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
Context is Key: A Benchmark for Forecasting with Essential Textual Information
ICML 2025
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
ICLR 2025
UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction
ICML 2025
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content
NeurIPS 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
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
NeurIPS 2024
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
EMNLP 2024
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
ICML 2023
TACTiS: Transformer-Attentional Copulas for Time Series
ICML 2022
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
AAAI 2021
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
ICLR 2020
Learning to Learn with Conditional Class Dependencies
ICLR 2019
Effective Bayesian Modeling of Groups of Related Count Time Series
ICML 2014
Augmented Functional Time Series Representation and Forecasting with Gaussian Processes
NeurIPS 2007
Extensions to Metric-Based Model Selection
JMLR 2003