Manica, Matteo

9 publications

NeurIPSW 2024 Unified Lookup Tables: Privacy-Preserving Foundation Models Nikita Janakarajan, Irina Espejo Morales, Marvin Alberts, Andrea Giovannini, Matteo Manica, Antonio Foncubierta-Rodríguez
ICML 2023 Unifying Molecular and Textual Representations via Multi-Task Language Modelling Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica
NeurIPSW 2023 Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation Amol Thakkar, Andrea Giovannini, Antonio Foncubierta, Carlo Baldassari, Dimitrios Christofidellis, Federico Zipoli, Gianmarco Gabrieli, Jannis Born, Mara Graziani, Marvin Alberts, Matteo Manica, Michael Stiefel, Oliver Schilter, Teodoro Laino, Patrick W. Ruch
ICLR 2022 Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M Rush
ICMLW 2022 PGT: A Prompt Based Generative Transformer for the Patent Domain Dimitrios Christofidellis, Antonio Berrios Torres, Ashish Dave, Manuel Roveri, Kristin Schmidt, Sarath Swaminathan, Hans Vandierendonck, Dmitry Zubarev, Matteo Manica
ICLRW 2022 Regression Transformer: Concurrent Conditional Generation and Regression by Blending Numerical and Textual Tokens Jannis Born, Matteo Manica
NeurIPSW 2021 Identification of Enzymatic Active Sites with Unsupervised Language Modeling Loïc Kwate Dassi, Matteo Manica, Daniel Probst, Philippe Schwaller, Yves Gaetan Nana Teukam, Teodoro Laino
NeurIPS 2020 CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models Vijil Chenthamarakshan, Payel Das, Samuel Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
AAAI 2020 Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction Pierre Colombo, Emile Chapuis, Matteo Manica, Emmanuel Vignon, Giovanna Varni, Chloé Clavel