OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Nathan Hoyen Ng
Joined
May 2022
Names
Nathan Hoyen Ng
(Preferred)
,
Nathan H. Ng
,
Nathan Ng
Emails
****@mit.edu
(Confirmed)
,
****@cs.toronto.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@nyu.edu
(Confirmed)
Personal Links
Google Scholar
DBLP
Career & Education History
Postdoc
New York University
(nyu.edu)
2024
–
2025
PhD student
Massachusetts Institute of Technology
(mit.edu)
2021
–
2024
PhD student
University of Toronto
(utoronto.ca)
2019
–
2024
Undergrad student
University of California, San Diego
(ucsd.edu)
2014
–
2018
Advisors, Relations & Conflicts
PhD Advisor
Roger Grosse
2020
–
2024
PhD Advisor
Richard Zemel
2020
–
2024
PhD Advisor
Marzyeh Ghassemi
2019
–
2024
PhD Advisor
Kyunghyun Cho
2019
–
2024
Coauthor
Michael Auli
2018
–
2019
Coauthor
Zachary Lipton
2016
–
2018
Coauthor
Julian McAuley
2016
–
2018
Expertise
No areas of expertise listed
Publications
Improving Black-box Robustness with In-Context Rewriting
Kyle O'Brien
,
Nathan Hoyen Ng
,
Isha Puri
,
Jorge Mendez-Mendez
,
Hamid Palangi
,
Yoon Kim
,
Marzyeh Ghassemi
,
Thomas Hartvigsen
Accepted by TMLR
Readers:
Everyone
Measuring Stochastic Data Complexity with Boltzmann Influence Functions
Nathan Hoyen Ng
,
Roger Baker Grosse
,
Marzyeh Ghassemi
ICML 2024 Poster
Readers:
Everyone
Blind Biological Sequence Denoising with Self-Supervised Set Learning
Nathan Hoyen Ng
,
Ji Won Park
,
Jae Hyeon Lee
,
Ryan Lewis Kelly
,
Stephen Ra
,
Kyunghyun Cho
Accepted by TMLR
Readers:
Everyone
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Hoyen Ng
,
Neha Hulkund
,
Kyunghyun Cho
,
Marzyeh Ghassemi
Accepted by TMLR
Readers:
Everyone
Predicting Out-of-Domain Generalization with Local Manifold Smoothness
Nathan Hoyen Ng
,
Neha Hulkund
,
Kyunghyun Cho
,
Marzyeh Ghassemi
22 Sept 2022 (modified: 13 Feb 2023)
ICLR 2023 Conference Withdrawn Submission
Readers:
Everyone
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae
,
Nathan Hoyen Ng
,
Alston Lo
,
Marzyeh Ghassemi
,
Roger Baker Grosse
Published: 31 Oct 2022, Last Modified: 08 Feb 2026
NeurIPS 2022 Accept
Readers:
Everyone
Predicting Out-of-Domain Generalization with Local Manifold Smoothness
Nathan Ng
,
Neha Hulkund
,
Kyunghyun Cho
,
Marzyeh Ghassemi
2022 (modified: 31 Mar 2023)
CoRR 2022
Readers:
Everyone
If Influence Functions are the Answer, Then What is the Question?
Juhan Bae
,
Nathan Ng
,
Alston Lo
,
Marzyeh Ghassemi
,
Roger B. Grosse
2022 (modified: 16 Apr 2023)
CoRR 2022
Readers:
Everyone
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng
,
Kyunghyun Cho
,
Marzyeh Ghassemi
2020 (modified: 18 Feb 2022)
EMNLP (1) 2020
Readers:
Everyone
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
Nathan Ng
,
Kyunghyun Cho
,
Marzyeh Ghassemi
2020 (modified: 18 Feb 2022)
CoRR 2020
Readers:
Everyone
View all 16 publications
Co-Authors
Alexei Baevski
Alston Lo
Angela Fan
Charles Elkan
David Grangier
Hamid Palangi
Isha Puri
Jae Hyeon Lee
Ji Won Park
Jiacheng Pan
Jorge Mendez-Mendez
Juhan Bae
Julian Gingold
Julian J. McAuley
Kyle O'Brien
Kyra Yee
Kyunghyun Cho
Marzyeh Ghassemi
Michael Auli
Myle Ott
Narendran Thangarajan
Neha Hulkund
Nina Desai
Qi Guo
Rodney A. Gabriel
View all 36 co-authors