David Gifford

Full Professor, Massachusetts Institute of Technology

Joined

October 2018

Names

David Gifford (Preferred)

David K. Gifford

Emails

****@mit.edu (Confirmed)

****@csail.mit.edu

Personal Links

Homepage

DBLP

Career & Education History

Full Professor

Massachusetts Institute of Technology (mit.edu)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

machine learning model design and interpretation

2000 – Present

computational biology

1992 – Present

Publications

Where did you learn that?: Tracing the Impact of Training Data with Diffusion Model Ensembles
Zheng Dai, Rui-Jie Yew, David Gifford
- RegML 2023
- Readers: Everyone
Fundamental limits on the robustness of image classifiers
Zheng Dai, David Gifford
- Published: 01 Feb 2023, Last Modified: 01 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Maximum n-times Coverage for Vaccine Design
Ge Liu, Alexander Dimitrakakis, Brandon Carter, David Gifford
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
Information Condensing Active Learning
Siddhartha Jain, Ge Liu, David Gifford
- 29 Sept 2021 (modified: 12 Oct 2025)
- ICLR 2022 Conference Withdrawn Submission
- Readers: Everyone
Overinterpretation reveals image classification model pathologies
Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Overinterpretation reveals image classification model pathologies
Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Information Condensing Active Learning
Siddhartha Jain, Ge Liu, David Gifford
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
Jonas Mueller, David K. Gifford, Tommi S. Jaakkola
- 2017 (modified: 11 Nov 2022)
- ICML 2017
- Readers: Everyone
Learning Population-Level Diffusions with Generative RNNs
Tatsunori B. Hashimoto, David K. Gifford, Tommi S. Jaakkola
- 2016 (modified: 11 Nov 2022)
- ICML 2016
- Readers: Everyone
Active learning for sampling in time-series experiments with application to gene expression analysis
Rohit Singh, Nathan Palmer, David K. Gifford, Bonnie Berger, Ziv Bar-Joseph
- 2005 (modified: 11 Nov 2022)
- ICML 2005
- Readers: Everyone

View all 11 publications