Nathan Cornille
PhD Researcher
Biography
Nathan Cornille is a PhD candidate at KU Leuven. He joined the Computer Science department in 2019, where he is working under the ERC funded CALCULUS project, supervised by Professor Marie-Francine Moens. His current focus is on discovery of causal signals in vision/text data.
Publications
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Cornille, Nathan and Moens, Marie-Francine (December 2019).
Improving Natural Language Understanding through Anticipation-Enriched Representations. . Modern trends in cognitive architectures and systems: From theory to implementation in natural and artificial agents
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Cornille, Nathan and Collel, Guillem and Moens, Marie-Francine (November 2020).
Improving Language Understanding in Machines through Anticipation.. From Neuroscience to Artificially Intelligent Systems: From theory to implementation in natural and artificial agents
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Cornille, Nathan and Laenen, Katrien and Moens, Marie-Francine (March 2022).
Critical Analysis of Deconfounded Pretraining to Improve Visio-Linguistic Models. Frontiers in Artificial Intelligence , 5. doi: 10.3389/frai.2022.736791
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Cornille, Nathan and Sun, Jinguan and Laenen, Katrien and Moens, Marie-Francine (November 2023).
Causal Factor Disentanglement for Few-Shot Domain Adaptation in Video Prediction. Entropy , 5. doi: 10.3390/e25111554