Marc E. Canby

PhD student, Siebel School of Computer Science, University of Illinois Urbana-Champaign

Joined

October 2022

Names

Marc E. Canby (Preferred)

Marc Canby

Emails

****@illinois.edu (Confirmed)

****@gmail.com

Personal Links

DBLP

Semantic Scholar

ACL Anthology

Career & Education History

PhD student

Siebel School of Computer Science, University of Illinois Urbana-Champaign (cs.illinois.edu)

2019 – 2026

Undergrad student

Rice University (rice.edu)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Julia Hockenmaier

2019 – Present

Expertise

No areas of expertise listed

Publications

Benchmarking query-conditioned natural language inference
Marc E. Canby, Xinchi Chen, Xing Niu, Jifan Chen, Bonan Min, Sergul Aydore, Vittorio Castelli
- ACL 2025
- Readers: Everyone
Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality
Sewoong Lee, Adam Davies, Marc E. Canby, Julia Hockenmaier
- COLM 2025
- Readers: Everyone
Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality
Sewoong Lee, Adam Davies, Marc E. Canby, Julia Hockenmaier
- CoRR 2025
- Readers: Everyone
Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions
Marc Canby, Adam Davies, Chirag Rastogi, Julia Hockenmaier
- Submitted to ICLR 2025
- Readers: Everyone
Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions
Marc Canby, Adam Davies, Chirag Rastogi, Julia Hockenmaier
- IAI Workshop @ NeurIPS 2024
- Readers: Everyone
Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions
Marc E. Canby, Adam Davies, Chirag Rastogi, Julia Hockenmaier
- CoRR 2024
- Readers: Everyone
LinguiPhyR: A Package for Linguistic Phylogenetic Analysis in R
Marc E. Canby
- J. Open Source Softw. 2024
- Readers: Everyone
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection
Marc Canby, Julia Hockenmaier
- EMNLP 2023 Findings
- Readers: Everyone
A Framework for Bidirectional Decoding: Case Study in Morphological Inflection
Marc E. Canby, Julia Hockenmaier
- EMNLP (Findings) 2023
- Readers: Everyone
Ensemble Deep Learning on Wearables Using Small Datasets
Taylor R. Mauldin, Anne H. H. Ngu, Vangelis Metsis, Marc E. Canby
- ACM Trans. Comput. Heal. 2021
- Readers: Everyone

View all 13 publications