David Berthelot

Joined

September 2018

Names

David Berthelot (Preferred)

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

****@apple.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Apple (apple.com)

2021 – 2025

Researcher

Google (google.com)

2013 – 2021

PhD student

Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier (LIRMM) (lirmm.fr)

1997 – 2000

Advisors, Relations & Conflicts

Coworker

Vahid Kazemi

2022 – 2024

Coworker

Arnaud Autef

2022 – 2024

Expertise

Generative modeling

2017 – 2025

Semi-supervised learning

2019 – 2021

Publications

TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
- 05 Sept 2023 (modified: 05 Sept 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot, Arnaud Autef, Jierui Lin, Dian Ang Yap, Shuangfei Zhai, Siyuan Hu, Daniel Zheng, Walter Talbott, Eric Gu
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
- 2022 (modified: 24 Apr 2023)
- ICLR 2022
- Readers: Everyone
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alexey Kurakin
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Poster
- Readers: Everyone
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
David Berthelot, Rebecca Roelofs, Kihyuk Sohn, Nicholas Carlini, Alex Kurakin
- 2021 (modified: 10 May 2022)
- CoRR 2021
- Readers: Everyone
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
- 2020 (modified: 12 May 2023)
- CoRR 2020
- Readers: Everyone
High Accuracy and High Fidelity Extraction of Neural Networks
Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot
- 2020 (modified: 19 May 2022)
- USENIX Security Symposium 2020
- Readers: Everyone
Creating High Resolution Images with a Latent Adversarial Generator
David Berthelot, Peyman Milanfar, Ian J. Goodfellow
- 2020 (modified: 22 Sept 2022)
- CoRR 2020
- Readers: Everyone
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn, David Berthelot, Nicholas Carlini, Zizhao Zhang, Han Zhang, Colin Raffel, Ekin Dogus Cubuk, Alexey Kurakin, Chun-Liang Li
- 2020 (modified: 24 Apr 2023)
- NeurIPS 2020
- Readers: Everyone
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
David Berthelot, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, Colin Raffel
- 2020 (modified: 24 Apr 2023)
- ICLR 2020
- Readers: Everyone

View all 27 publications

Co-Authors

View all 52 co-authors