Frédéric A. Dreyer

According to our database, Frédéric A. Dreyer authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Disentangling multispecific antibody function with graph neural networks.

Joshua Southern, Changpeng Lu, Santrupti Nerli, Samuel Don Stanton, Andrew M. Watkins, Franziska Seeger, Frédéric A. Dreyer

CoRR, January, 2026

2025

Assessing interaction recovery of predicted protein-ligand poses.

David Errington, Constantin Schneider, Cédric Bouysset, Frédéric A. Dreyer

J. Cheminformatics, December, 2025

Tokenizing Loops of Antibodies.

Ada Fang, Robert G. Alberstein, Simon Kelow, Frédéric A. Dreyer

CoRR, September, 2025

Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins.

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

CoRR, July, 2025

<i>De Novo</i> Antibody Design with SE(3) Diffusion.

Daniel Cutting, Frédéric A. Dreyer, David Errington, Constantin Schneider, Charlotte M. Deane

J. Comput. Biol., 2025

2024

Large scale paired antibody language models.

Henry Kenlay, Frédéric A. Dreyer, Aleksandr Kovaltsuk, Dom Miketa, Douglas Pires, Charlotte M. Deane

PLoS Comput. Biol., 2024

De novo antibody design with SE(3) diffusion.

Daniel Cutting, Frédéric A. Dreyer, David Errington, Constantin Schneider, Charlotte M. Deane

CoRR, 2024

ABodyBuilder3: improved and scalable antibody structure predictions.

Henry Kenlay, Frédéric A. Dreyer, Daniel Cutting, Daniel A. Nissley, Charlotte M. Deane

Bioinform., 2024

2023

Inverse folding for antibody sequence design using deep learning.

Frédéric A. Dreyer, Daniel Cutting, Constantin Schneider, Henry Kenlay, Charlotte M. Deane

CoRR, 2023

Multilingual End to End Entity Linking.

Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Frédéric A. Dreyer, Nicola Cancedda

CoRR, 2023

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings.

Mattia Atzeni, Mikhail Plekhanov, Frédéric A. Dreyer, Nora Kassner, Simone Merello, Louis Martin, Nicola Cancedda

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Leveraging universality of jet taggers through transfer learning.

Frédéric A. Dreyer, Radoslaw Grabarczyk, Pier Francesco Monni

CoRR, 2022

2021

How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases.

Hannah Kirk, Yennie Jun, Haider Iqbal, Elias Benussi, Filippo Volpin, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki Markus Asano

CoRR, 2021

Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models.

Hannah Rose Kirk, Yennie Jun, Filippo Volpin, Haider Iqbal, Elias Benussi, Frédéric A. Dreyer, Aleksandar Shtedritski, Yuki M. Asano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Jet tagging in the Lund plane with graph networks.

Frédéric A. Dreyer, Huilin Qu

CoRR, 2020

2019

Lund jet images from generative and cycle-consistent adversarial networks.

Stefano Carrazza, Frédéric A. Dreyer

CoRR, 2019

Jet grooming through reinforcement learning.

Stefano Carrazza, Frédéric A. Dreyer

CoRR, 2019