CAKE: a Compact and Accurate K-dimensional representation of Emotion. - Corentin Kervadec; Valentin Vielzeuf; Stéphane Pateux; Alexis Lechervy; Frédéric Jurie (BMVC, 2018)

An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets. - Valentin Vielzeuf; Corentin Kervadec; Stéphane Pateux; Alexis Lechervy; Frédéric Jurie (ICMI, 2018)

The Many Moods of Emotion. - Valentin Vielzeuf; Corentin Kervadec; Stéphane Pateux; Frédéric Jurie (CoRR, 2018)

The Many Variations of Emotion. - Valentin Vielzeuf; Corentin Kervadec; Stéphane Pateux; Frédéric Jurie (FG, 2019)

Autonomous Wireless Sensor Networks: Implementation of Transient Computing and Energy Prediction for Improved Node Performance and Link Quality. - Faisal Ahmed; Corentin Kervadec; Yannick Le Moullec; Gert Tamberg; Paul Annus (Comput. J., 2019)

Weak Supervision Helps Emergence of Word-Object Alignment and Improves Vision-Language Tasks. - Corentin Kervadec; Grigory Antipov; Moez Baccouche; Christian Wolf 001 (ECAI, 2020)

Estimating semantic structure for the VQA answer space. - Corentin Kervadec; Grigory Antipov; Moez Baccouche; Christian Wolf 001 (CoRR, 2020)

Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? - Corentin Kervadec; Grigory Antipov; Moez Baccouche; Christian Wolf 001 (CVPR, 2021)

How Transferable Are Reasoning Patterns in VQA? - Corentin Kervadec; Theo Jaunet; Grigory Antipov; Moez Baccouche; Romain Vuillemot; Christian Wolf 001 (CVPR, 2021)

Supervising the Transfer of Reasoning Patterns in VQA. - Corentin Kervadec; Christian Wolf 001; Grigory Antipov; Moez Baccouche; Madiha Nadri (NeurIPS, 2021)

Bias and Reasoning in Visual Question Answering. (Biais et raisonnement dans les systèmes de questions réponses visuelles). - Corentin Kervadec (2021)

An experimental study of the vision-bottleneck in VQA. - Pierre Marza; Corentin Kervadec; Grigory Antipov; Moez Baccouche; Christian Wolf 001 (CoRR, 2022)

VisQA: X-raying Vision and Language Reasoning in Transformers. - Theo Jaunet; Corentin Kervadec; Romain Vuillemot; Grigory Antipov; Moez Baccouche; Christian Wolf 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Bridging Information-Theoretic and Geometric Compression in Language Models. - Emily Cheng; Corentin Kervadec; Marco Baroni (EMNLP, 2023)

Unnatural language processing: How do language models handle machine-generated prompts? - Corentin Kervadec; Francesca Franzon; Marco Baroni (EMNLP (Findings), 2023)

Emergence of a High-Dimensional Abstraction Phase in Language Transformers. - Emily Cheng; Diego Doimo; Corentin Kervadec; Iuri Macocco; Jade Yu; Alessandro Laio; Marco Baroni (CoRR, 2024)

Evil twins are not that evil: Qualitative insights into machine-generated prompts. - Nathanaël Carraz Rakotonirina; Corentin Kervadec; Francesca Franzon; Marco Baroni (CoRR, 2024)

Emergence of a High-Dimensional Abstraction Phase in Language Transformers. - Emily Cheng; Diego Doimo; Corentin Kervadec; Iuri Macocco; Lei Yu; Alessandro Laio; Marco Baroni (ICLR, 2025)