Frédéric A. Dreyer

20 papers A* 2Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling multispecific antibody function with graph neural networks. CoRR Joshua Southern, Changpeng Lu, Santrupti Nerli, Samuel Don Stanton, Andrew M. Watkins, Franziska Seeger, Frédéric A. Dreyer
2025	J	`jnl`	Assessing interaction recovery of predicted protein-ligand poses. J. Cheminformatics David Errington, Constantin Schneider, Cédric Bouysset, Frédéric A. Dreyer
2025	J	`jnl`	Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins. CoRR Frédéric A. Dreyer, Jan Ludwiczak, Karolis Martinkus, Brennan Abanades, Robert G. Alberstein, Pan Kessel, Pranav Rao, Jae Hyeon Lee, Richard Bonneau, Andrew M. Watkins, Franziska Seeger
2025	J	`jnl`	Tokenizing Loops of Antibodies. CoRR Ada Fang, Robert G. Alberstein, Simon Kelow, Frédéric A. Dreyer
2024	J	`jnl`	ABodyBuilder3: Improved and scalable antibody structure predictions. CoRR Henry Kenlay, Frédéric A. Dreyer, Daniel Cutting, Daniel A. Nissley, Charlotte M. Deane
2024	J	`jnl`	ABodyBuilder3: improved and scalable antibody structure predictions. Bioinform. Henry Kenlay, Frédéric A. Dreyer, Daniel Cutting, Daniel A. Nissley, Charlotte M. Deane
2024	J	`jnl`	Assessing interaction recovery of predicted protein-ligand poses. CoRR David Errington, Constantin Schneider, Cédric Bouysset, Frédéric A. Dreyer
2024	J	`jnl`	De novo antibody design with SE(3) diffusion. CoRR Daniel Cutting, Frédéric A. Dreyer, David Errington, Constantin Schneider, Charlotte M. Deane
2024	J	`jnl`	Large scale paired antibody language models. CoRR Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, Dom Miketa, Douglas Pires, Charlotte M. Deane
2024	J	`jnl`	Large scale paired antibody language models. PLoS Comput. Biol. Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, Dom Miketa, Douglas Pires, Charlotte M. Deane
2023	J	`jnl`	Inverse folding for antibody sequence design using deep learning. CoRR Frédéric A. Dreyer, Daniel Cutting, Constantin Schneider, Henry Kenlay, Charlotte M. Deane
2023	J	`jnl`	Multilingual End to End Entity Linking. CoRR Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda
2023	A*	`conf`	Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. EMNLP Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda
2023	J	`jnl`	Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. CoRR Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda
2022	J	`jnl`	Leveraging universality of jet taggers through transfer learning. CoRR Frédéric A. Dreyer, Radoslaw Grabarczyk, Pier Francesco Monni
2021	A*	`conf`	Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models. NeurIPS Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano
2021	J	`jnl`	How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases. CoRR Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano
2020	J	`jnl`	Jet tagging in the Lund plane with graph networks. CoRR Frédéric A. Dreyer, Huilin Qu
2019	J	`jnl`	Jet grooming through reinforcement learning. CoRR Stefano Carrazza, Frédéric A. Dreyer
2019	J	`jnl`	Lund jet images from generative and cycle-consistent adversarial networks. CoRR Stefano Carrazza, Frédéric A. Dreyer