Diego Antognini

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Recommender Systems

Top Venues

Publications

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar
ESG Accountability Made Easy: DocQA at Your Service. AAAI (2024)
Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR (2024)
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. CoRR (2024)
Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti
MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. 2024 (2024)
Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. NAACL-HLT (2024)
Francesco Fusco, Damian Pascual, Peter W. J. Staar, Diego Antognini
pNLP-Mixer: an Efficient all-MLP Architecture for Language. ACL (industry) (2023)
Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar
ESG Accountability Made Easy: DocQA at Your Service. CoRR (2023)
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
Assistive Recipe Editing through Critiquing. EACL (2023)
Francesco Fusco, Diego Antognini
Extracting Text Representations for Terms and Phrases in Technical Domains. ACL (industry) (2023)
Francesco Fusco, Diego Antognini
Extracting Text Representations for Terms and Phrases in Technical Domains. CoRR (2023)
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
Active Learning for Imbalanced Civil Infrastructure Data. CoRR (2022)
Diego Antognini, Boi Faltings
Positive and Negative Critiquing for VAE-based Recommenders. CoRR (2022)
Francesco Fusco, Peter W. J. Staar, Diego Antognini
Unsupervised Term Extraction for Highly Technical Domains. CoRR (2022)
Diego Antognini
Textual Explanations and Critiques in Recommendation Systems. CoRR (2022)
Shuangqi Li, Diego Antognini, Boi Faltings
Interlock-Free Multi-Aspect Rationalization for Text Classification. CoRR (2022)
Francesco Fusco, Peter W. J. Staar, Diego Antognini
Unsupervised Term Extraction for Highly Technical Domains. EMNLP (Industry Track) (2022)
Diego Antognini, Shuyang Li, Boi Faltings, Julian J. McAuley
Assistive Recipe Editing through Critiquing. CoRR (2022)
Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi
Active Learning for Imbalanced Civil Infrastructure Data. ECCV Workshops (7) (2022)
Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. Perspectives@RecSys (2021)
Diana Andreea Petrescu, Diego Antognini, Boi Faltings
Multi-Step Critiquing User Interface for Recommender Systems. RecSys (2021)
Diana Petrescu, Diego Antognini, Boi Faltings
Multi-Step Critiquing User Interface for Recommender Systems. CoRR (2021)
Diego Antognini, Boi Faltings
Fast Multi-Step Critiquing for VAE-based Recommender Systems. CoRR (2021)
Diego Antognini, Boi Faltings
Fast Multi-Step Critiquing for VAE-based Recommender Systems. RecSys (2021)
Diego Antognini, Boi Faltings
Rationalization through Concepts. ACL/IJCNLP (Findings) (2021)
Diego Antognini, Boi Faltings
Rationalization through Concepts. CoRR (2021)
Martin Milenkoski, Diego Antognini, Claudiu Musat
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts. CoRR (2021)
Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Addressing fairness in classification with a model-agnostic multi-objective algorithm. UAI (2021)
Diego Antognini, Claudiu Musat, Boi Faltings
Multi-Dimensional Explanation of Target Variables from Documents. AAAI (2021)
Diego Antognini, Claudiu Musat, Boi Faltings
Interacting with Explanations through Critiquing. IJCAI (2021)
Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Momentum-based Gradient Methods in Multi-objective Recommender Systems. CoRR (2020)
Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. CoRR (2020)
Saibo Geng, Diego Antognini
An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations. CoRR (2020)
Diego Antognini, Claudiu Musat, Boi Faltings
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. CoRR (2020)
Diego Antognini, Boi Faltings
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. CoRR (2020)
Diego Antognini, Boi Faltings
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. LREC (2020)
Diego Antognini, Boi Faltings
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. CoRR (2020)
Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat
Multi-Gradient Descent for Multi-Objective Recommender Systems. CoRR (2020)
Diego Antognini, Boi Faltings
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. LREC (2020)
Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. CoRR (2020)
Diego Antognini, Claudiu Musat, Boi Faltings
Multi-Dimensional Explanation of Reviews. CoRR (2019)
Diego Antognini, Boi Faltings
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization. CoRR (2019)
Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. CoRR (2017)
Athanasios Giannakopoulos, Diego Antognini, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision. ICDM Workshops (2017)