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Frédéric A. Dreyer
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2020 – today
- 2024
- [i12]Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, Dom Miketa, Douglas Pires, Charlotte M. Deane:
Large scale paired antibody language models. CoRR abs/2403.17889 (2024) - [i11]Daniel Cutting, Frédéric A. Dreyer, David Errington, Constantin Schneider, Charlotte M. Deane:
De novo antibody design with SE(3) diffusion. CoRR abs/2405.07622 (2024) - [i10]Henry Kenlay, Frédéric A. Dreyer, Daniel Cutting, Daniel A. Nissley, Charlotte M. Deane:
ABodyBuilder3: Improved and scalable antibody structure predictions. CoRR abs/2405.20863 (2024) - [i9]David Errington, Constantin Schneider, Cédric Bouysset, Frédéric A. Dreyer:
Assessing interaction recovery of predicted protein-ligand poses. CoRR abs/2409.20227 (2024) - 2023
- [c2]Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda:
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. EMNLP 2023: 9129-9146 - [i8]Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda:
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. CoRR abs/2305.12027 (2023) - [i7]Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda:
Multilingual End to End Entity Linking. CoRR abs/2306.08896 (2023) - [i6]Frédéric A. Dreyer, Daniel Cutting, Constantin Schneider, Henry Kenlay, Charlotte M. Deane:
Inverse folding for antibody sequence design using deep learning. CoRR abs/2310.19513 (2023) - 2022
- [i5]Frédéric A. Dreyer, Radoslaw Grabarczyk, Pier Francesco Monni:
Leveraging universality of jet taggers through transfer learning. CoRR abs/2203.06210 (2022) - 2021
- [c1]Hannah Rose Kirk
, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano:
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. NeurIPS 2021: 2611-2624 - [i4]Hannah Kirk
How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. CoRR abs/2102.04130 (2021) - 2020
- [i3]Frédéric A. Dreyer, Huilin Qu:
Jet tagging in the Lund plane with graph networks. CoRR abs/2012.08526 (2020)
2010 – 2019
- 2019
- [i2]Stefano Carrazza, Frédéric A. Dreyer:
Jet grooming through reinforcement learning. CoRR abs/1903.09644 (2019) - [i1]Stefano Carrazza, Frédéric A. Dreyer:
Lund jet images from generative and cycle-consistent adversarial networks. CoRR abs/1909.01359 (2019)
Coauthor Index
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