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Andrew Robert Williams
PhD student, DIRO, Université de Montréal
Joined
October 2020
Names
Andrew Robert Williams
(Preferred)
,
Andrew Williams
Emails
****@umontreal.ca
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@mila.quebec
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
Career & Education History
PhD student
DIRO,
Université de Montréal
(umontreal.ca)
2023
–
2028
MS student
University of Montreal
(umontreal.ca)
2018
–
2022
Advisors, Relations & Conflicts
PhD Advisor
Nicolas Chapados
2024
–
Present
Coauthor
Arjun Ashok
2024
–
Present
Coauthor
Alexandre Drouin
2024
–
Present
Coauthor
Valentina Zantedeschi
2024
–
Present
Coauthor
Étienne Marcotte
2024
–
Present
PhD Advisor
Irina Rish
2023
–
Present
Expertise
forecasting
,
decision-making
2023
–
Present
foundation models
,
large models
,
scaling laws
2022
–
Present
multi-agent reinforcement learning
,
agent-based models
,
multi-agent systems
,
collective intelligence ecosystems
,
human-AI interaction
2020
–
Present
quantum computing
,
quantum information science
,
quantum machine learning
,
quantum algorithms
2018
–
Present
Publications
Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
Azul Garza
,
Renee Rosillo Garcia
,
Rodrigo Mendoza Smith
,
David Salinas
,
Andrew Robert Williams
,
Arjun Ashok
,
Mononito Goswami
,
José Martín Juárez Vargas
ICLR 2026 TSALM Workshop Poster
Readers:
Everyone
Overcoming the Modality Gap in Context-Aided Forecasting
Vincent Zhihao Zheng
,
Étienne Marcotte
,
Arjun Ashok
,
Andrew Robert Williams
,
Lijun Sun
,
Alexandre Drouin
,
Valentina Zantedeschi
ICLR 2026 TSALM Workshop Poster
Readers:
Everyone
Leveraging a Fully Differentiable Integrated Assessment Model for RL and Inference
Koen Ponse
,
Kai-Hendrik Cohrs
,
Phillip Wozny
,
Andrew Robert Williams
,
Tianyu Zhang
,
Erman Acar
,
Yoshua Bengio
,
Aske Plaat
,
Thomas M. Moerland
,
Pierre Gentine
,
Gustau Camps-Valls
DiffSys 2025
Readers:
Everyone
DeLLMphi: A Multi-Turn Method for Multi-Agent Forecasting
Andrew Robert Williams
,
Martin Weiss
,
Victoria Feere
,
Nasim Rahaman
,
Hugo Larochelle
MTI-LLM @ NeurIPS 2025 Poster
Readers:
Everyone
Beyond Naïve Prompting: Strategies for Improved Zero-shot Context-aided Forecasting with LLMs
Arjun Ashok
,
Andrew Robert Williams
,
Vincent Zhihao Zheng
,
Irina Rish
,
Nicolas Chapados
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Alexandre Drouin
BERT2S
Readers:
Everyone
Random Initialization Can’t Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
Roland Riachi
,
Kashif Rasul
,
Arjun Ashok
,
Prateek Humane
,
Alexis Roger
,
Andrew Robert Williams
,
Yuriy Nevmyvaka
,
Irina Rish
FMSD @ ICML 2025
Readers:
Everyone
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Robert Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
ICML 2025 poster
Readers:
Everyone
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang
,
Andrew Robert Williams
,
Phillip Wozny
,
Kai-Hendrik Cohrs
,
Koen Ponse
,
Marco Jiralerspong
,
Soham Rajesh Phade
,
Sunil Srinivasa
,
Lu Li
,
Yang Zhang
,
Prateek Gupta
,
Erman Acar
,
Irina Rish
,
Yoshua Bengio
,
Stephan Zheng
ICML 2025 poster
Readers:
Everyone
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Andrew Robert Williams
,
Arjun Ashok
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
Submitted to ICLR 2025
Readers:
Everyone
Context is Key: A Benchmark for Forecasting with Essential Textual Information
Arjun Ashok
,
Andrew Robert Williams
,
Étienne Marcotte
,
Valentina Zantedeschi
,
Jithendaraa Subramanian
,
Roland Riachi
,
James Requeima
,
Alexandre Lacoste
,
Irina Rish
,
Nicolas Chapados
,
Alexandre Drouin
NeurIPS 2024 TSALM Workshop
Readers:
Everyone
View all 18 publications
Co-Authors
Abhinav Sharma
Akshay Patel
Alexandre Drouin
Alexandre Lacoste
Alexis Roger
Amin Memarian
Anderson Schneider
Andrei Mircea
Arian Khorasani
Arjun Ashok
Aske Plaat
Azul Garza
Bernhard Schölkopf
Chris Pal
Christian Schröder de Witt
Christopher J. Pal
Christopher Joseph Pal
Connor Brennan
Daria Yasafova
David Buckeridge
David Salinas
Dylan R. Radovic
Eilif B. Müller
Eilif Benjamin Müller
Elin Ahlstrand
View all 94 co-authors