Matteo Manica

1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
   2022/11/09 by BigScience Workshop, Workshop, BigScience, : +784 · 1 voice · 151 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.CL
2. Multitask Prompted Training Enables Zero-Shot Task Generalization
   2021/10/15 by Victor Sanh, Albert Webson, Sanh, Victor +79 · 112 citations
   Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
3. Unifying Molecular and Textual Representations via Multi-task Language Modelling
   2023/01/29 by Dimitrios Christofidellis, Christofidellis, Dimitrios, Giorgio Giannone +9 · 19 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Topic Modeling #Computational Drug Discovery Methods
4. NeuNetS: An Automated Synthesis Engine for Neural Network Design
   2019/01/17 by Atin Sood, Benjamin Elder, Sood, Atin +37 · 2 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #Machine Learning and Data Classification #COVID-19 diagnosis using AI
5. Transforming the Hybrid Cloud for Emerging AI Workloads
   2024/11/20 by Deming Chen, Chen, Deming, Alaa Youssef +85 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Distributed #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #IoT and Edge/Fog Computing #Multiagent Systems (cs.MA) #Parallel #and Cluster Computing (cs.DC)
6. An Information Extraction and Knowledge Graph Platform for Accelerating Biochemical Discoveries
   2019/07/19 by Matteo Manica, Christoph Auer, Manica, Matteo +21 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Enzyme Production and Characterization #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
7. CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
   2020/04/02 by Vijil Chenthamarakshan, Chenthamarakshan, Vijil, Payel Das +19 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM) #vaccines and immunoinformatics approaches
8. Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks
   2020/12/05 by Modestas Filipavicius, Matteo Manica, Filipavicius, Modestas +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning in Bioinformatics #RNA and protein synthesis mechanisms #Topic Modeling #vaccines and immunoinformatics approaches
9. Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection
   2022/08/15 by Daniele Comi, Comi, Daniele, Dimitrios Christofidellis +5 · 1 citation
   Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling
10. Predicting polymerization reactions via transfer learning using chemical language models
    2023/10/17 by Brenda S. Ferrari, Matteo Manica, Ferrari, Brenda S. +7 · 1 citation
    Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)