BISTing Datapaths under Heterogeneous Test Schemes. - David Berthelot; Marie-Lise Flottes; Bruno Rouzeyre (J. Electron. Test., 1999)

BISTing data paths at behavioral level. - David Berthelot; Marie-Lise Flottes; Bruno Rouzeyre (ITC, 2000)

A Method for Trading off Test Time, Area and Fault Coverage in Datapath BIST Synthesis. - David Berthelot; Marie-Lise Flottes; Bruno Rouzeyre (J. Electron. Test., 2001)

An Efficient Linear Time Algorithm for Scan Chain Optimization and Repartitioning. - David Berthelot; Samit Chaudhuri; Hamid Savoj (ITC, 2002)

Analysis of Risks in a Software Improvement Programme. - Emmanuel Chauveau; Claire Lassudrie; David Berthelot (PROFES, 2002)

Combinational techniques for sequential equivalence checking. - Hamid Savoj; David Berthelot; Alan Mishchenko; Robert K. Brayton (FMCAD, 2010)

WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia. - Daniel Hewlett; Alexandre Lacoste; Llion Jones; Illia Polosukhin; Andrew Fandrianto; Jay Han; Matthew Kelcey; David Berthelot (ACL (1), 2016)

BEGAN: Boundary Equilibrium Generative Adversarial Networks. - David Berthelot; Tom Schumm; Luke Metz (CoRR, 2017)

Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer. - David Berthelot; Colin Raffel; Aurko Roy; Ian J. Goodfellow (ICLR (Poster), 2019)

MixMatch: A Holistic Approach to Semi-Supervised Learning. - David Berthelot; Nicholas Carlini; Ian J. Goodfellow; Nicolas Papernot; Avital Oliver; Colin Raffel (NeurIPS, 2019)

High-Fidelity Extraction of Neural Network Models. - Matthew Jagielski; Nicholas Carlini; David Berthelot; Alex Kurakin; Nicolas Papernot (CoRR, 2019)

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring. - David Berthelot; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Kihyuk Sohn; Han Zhang 010; Colin Raffel (CoRR, 2019)

Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels. - Shuang Song; David Berthelot; Afshin Rostamizadeh (CoRR, 2019)

ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring. - David Berthelot; Nicholas Carlini; Ekin D. Cubuk; Alex Kurakin; Kihyuk Sohn; Han Zhang 010; Colin Raffel (ICLR, 2020)

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence. - Kihyuk Sohn; David Berthelot; Nicholas Carlini; Zizhao Zhang; Han Zhang 010; Colin Raffel; Ekin Dogus Cubuk; Alexey Kurakin; Chun-Liang Li (NeurIPS, 2020)

High Accuracy and High Fidelity Extraction of Neural Networks. - Matthew Jagielski; Nicholas Carlini; David Berthelot; Alex Kurakin; Nicolas Papernot (USENIX Security Symposium, 2020)

Semi-Supervised Class Discovery. - Jeremy Nixon; Jeremiah Z. Liu; David Berthelot (CoRR, 2020)

Creating High Resolution Images with a Latent Adversarial Generator. - David Berthelot; Peyman Milanfar; Ian J. Goodfellow (CoRR, 2020)

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques. - Jihyeon Lee; Joseph Z. Xu; Kihyuk Sohn; Wenhan Lu; David Berthelot; Izzeddin Gur; Pranav Khaitan; Ke-Wei Huang; Kyriacos Koupparis; Bernhard Kowatsch (CoRR, 2020)

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation. - David Berthelot; Rebecca Roelofs; Kihyuk Sohn; Nicholas Carlini; Alexey Kurakin (ICLR, 2022)

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 (CoRR, 2023)

Normalizing Flows are Capable Generative Models. - Shuangfei Zhai; Ruixiang Zhang; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Navdeep Jaitly; Joshua M. Susskind (CoRR, 2024)

Mechanisms of Projective Composition of Diffusion Models. - Arwen Bradley; Preetum Nakkiran; David Berthelot; James Thornton; Joshua M. Susskind (CoRR, 2025)

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis. - Jiatao Gu; Tianrong Chen; David Berthelot; Huangjie Zheng; Yuyang Wang; Ruixiang Zhang; Laurent Dinh; Miguel Ángel Bautista 001; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)

TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics. - Tianrong Chen; Huangjie Zheng; David Berthelot; Jiatao Gu; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)