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Daniel T. Levy
PhD student, Computer Science, McGill University
Joined
May 2021
Names
Daniel T. Levy
(Preferred)
,
Daniel Tian Levy
,
Daniel Levy
Emails
****@mail.mcgill.ca
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@mila.quebec
(Confirmed)
Personal Links
Google Scholar
DBLP
LinkedIn
Career & Education History
PhD student
Computer Science,
McGill University
(mcgill.ca)
2022
–
2026
MS student
Science,
McGill University
(mcgill.ca)
2020
–
2022
Undergrad student
Physics and Computer Science,
University of British Columbia
(ubc.ca)
2014
–
2019
Advisors, Relations & Conflicts
PhD Advisor
Siamak Ravanbakhsh
2022
–
2026
Coauthor
Santiago Miret
2023
–
2025
Coauthor
Yan Zhang
2023
–
2025
Coauthor
Sékou-Oumar Kaba
2020
–
2025
Coauthor
Tara Akhound-Sadegh
2020
–
2025
MSc Advisor
Siamak Ravanbakhsh
2020
–
2022
Expertise
deep learning
,
graph neural networks
,
equivariant graph neural networks
Present
generative modelling
Present
materials discovery
Present
Publications
Bayesian Last Layer for Neural Force Fields
David Nitchi
,
Daniel T. Levy
,
Michel Côté
,
Siamak Ravanbakhsh
ICML2026-AI4Science Poster
Readers:
Everyone
Molecule property prediction with molecular orbitals
Yan Zhang
,
Khang Ngo
,
Sékou-Oumar Kaba
,
Daniel T. Levy
,
Siamak Ravanbakhsh
,
Aristide Baratin
,
Kisoo Kwon
,
MiYoung Jang
,
Eun Hyun Cho
,
Sangha Park
,
Sanghyun Yoo
,
Young-Seok Kim
,
Hasup Lee
AI4Mat-ICLR-2026 Poster
Readers:
Everyone
LeMat-GenBench: A Unified Evaluation Framework for Crystal Generative Models
Siddharth Betala
,
Samuel P. Gleason
,
Ali Ramlaoui
,
Andy Xu
,
Georgia Channing
,
Daniel Levy
,
Clémentine Fourrier
,
Nikita Kazeev
,
Chaitanya K. Joshi
,
Sékou-Oumar Kaba
,
Félix Therrien
,
Alex Hernández-García
,
Rocío Mercado
,
N M Anoop Krishnan
,
Alexandre Duval
AI4X-AC 2026 Oral
Readers:
Everyone
LeMat-GenBench: Bridging the gap between crystal generation and materials discovery
Alexandre Duval
,
Siddharth Betala
,
Samuel P. Gleason
,
Andy Xu
,
Georgia Channing
,
Daniel Levy
,
Ali Ramlaoui
,
Clémentine Fourrier
,
Chaitanya K. Joshi
,
Nikita Kazeev
,
Sékou-Oumar Kaba
,
Félix Therrien
,
Alex Hernández-García
,
Rocío Mercado
,
N M Anoop Krishnan
AI4Mat-NeurIPS-2025 RLSF
Readers:
Everyone
Energy Loss Functions for Physical Systems
Sékou-Oumar Kaba
,
Kusha Sareen
,
Daniel Levy
,
Siamak Ravanbakhsh
NeurIPS 2025 poster
Readers:
Everyone
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy
,
Siba Smarak Panigrahi
,
Sékou-Oumar Kaba
,
Qiang Zhu
,
Kin Long Kelvin Lee
,
Mikhail Galkin
,
Santiago Miret
,
Siamak Ravanbakhsh
ICLR 2025 Poster
Readers:
Everyone
Symmetry-Aware Generative Modeling through Learned Canonicalization
Kusha Sareen
,
Daniel Levy
,
Arnab Kumar Mondal
,
Sékou-Oumar Kaba
,
Tara Akhound-Sadegh
,
Siamak Ravanbakhsh
NeurReps 2024 Poster
Readers:
Everyone
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy
,
Siba Smarak Panigrahi
,
Sékou-Oumar Kaba
,
Qiang Zhu
,
Mikhail Galkin
,
Santiago Miret
,
Siamak Ravanbakhsh
AI4Mat-NeurIPS-2024 Spotlight
Readers:
Everyone
E (3)-Equivariant Mesh Neural Networks
Daniel Levy
,
Thuan Nguyen Anh Trang
,
Khang Nhat Ngo
,
Thieu Vo
,
Siamak Ravanbakhsh
,
Hy Truong Son
27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024
Readers:
Everyone
Using Multiple Vector Channels Improves E (n)-Equivariant Graph Neural Networks
Daniel Levy
ICML 2023 Workshop on Machine Learning for Astrophysics
Readers:
Everyone
View all 15 publications
Co-Authors
Alex Hernández-García
Alexandre Duval
Ali Ramlaoui
Andy Xu
Aristide Baratin
Arnab Kumar Mondal
Carmelo Gonzales
Chaitanya K. Joshi
Clémentine Fourrier
David Nitchi
Eun Hyun Cho
Félix Therrien
Georgia Channing
Hasup Lee
Hy Truong Son
Jarrid Rector-Brooks
Khang Ngo
Khang Nhat Ngo
Kin Long Kelvin Lee
Kisoo Kwon
Kusha Sareen
MiYoung Jang
Michel Côté
Mikhail Galkin
N M Anoop Krishnan
View all 47 co-authors