Publication list - Idiap Publications

Why daylight should be a priority for urban planning, Carlo Volf, Bruno Bueno, Peter Edwards, Richard Hobday, Stephan Mäder, Barbara Matusiak, Katharina Wulff, Werner Osterhaus, Gabriele Manoli, Christina Della Giustina, Jasmin Joshi, Jérôme Kämpf, Kevin Vega and Christoph Kueffer, in: Journal of Urban Management, 2024

[DOI]
[URL]

Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments, Aurel Ruben Mader, Lakmal Buddika Meegahapola and Daniel Gatica-Perez, in: Proc. ACM Conference on Human Factors in Computing Systems, 2024

From Modalities to Styles: Rethinking the Domain Gap in Heterogeneous Face Recognition, Anjith George and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024

On Learning to Classify Meerkat Calls, Imen Ben Mahmoud, Idiap-Com-01-2024

Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, Xin Quan, Marco Valentino, Louise A Dennis and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, Yingji Zhang, Danilo Carvalho, Marco Valentino, Ian Pratt-Hartmann and Andre Freitas, in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, Marco Valentino, Danilo Carvalho and Andre Freitas, in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024

COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, Bogdan Vlasenko, Sargam Vyas and Mathew Magimai-Doss, in: International Conference on Acoustics, Speech and Signal Processing, 2024

Developing 3D-Printed Wrist Splints for Distal Radius and Scaphoid Fractures, Bernadette Tobler-Ammann, Frederic Schuind, Loïc Voillat, Théophile Gentilhomme, Esther Vögelin, Noé Murith and Bernard Masserey, in: Journal of Wrist Surgery, 2024

[DOI]
[URL]

Understanding the effects of language-specific class imbalance in multilingual fine-tuning, Vincent Jung and Lonneke van der Plas, in: Findings of the European chapter of Association for Computational Linguistics, 2024, 2024

Vulnerability of Face Age Verification to Replay Attacks, Pavel Korshunov, Anjith George, Gökhan Özbulak and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2024

EdgeFace : Efficient Face Recognition Model for Edge Devices, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal and Sébastien Marcel, in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024

PRIMIS: Privacy-Preserving Medical Image Sharing via Deep Sparsifying Transform Learning with Obfuscation, Isaac Shiri, Behrooz Razeghi, Sohrab Ferdowsi, Yazdan Salimi, Deniz Gunduz, Douglas Teodoro, Slava Voloshynovskiy and Habib Zaidi, in: Journal of Biomedical Informatics, Elsevier, 150, 2024

[DOI]
[URL]

Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, Behrooz Razeghi, Parsa Rahimi and Sébastien Marcel, in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024

[DOI]
[URL]

Heterogeneous Face Recognition Using Domain Invariant Units, Anjith George and Sébastien Marcel, in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2024

Safe Deep Neural Networks, Kyle Matoba, EPFL, 2024

Verification of an open-source Python library for the simulation of district heating networks with complex topologies, Roberto Boghetti and Jérôme Kämpf, in: Energy, 290, 2024

[DOI]
[URL]

Absolute retinal blood flow in healthy eyes and in eyes with retinal vein occlusion, Thibaud Mautuit, Pierre Cunnac, Frédéric Truffer, André Anjos, Rebecca Dufrane, Gilbert Maître, Martial Geiser and Christophe Chiquet, in: Microvascular Research, 152, 2024

[DOI]

Multitask Speech Recognition and Speaker Change Detection for Unknown Number of Speakers, Shashi Kumar, Srikanth Madikeri, Nigmatulina Iuliia, Esaú Villatoro-Tello, Petr Motlicek, Karthik Pandia D S, S. Pavankumar Dubagunta and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12592-12596, IEEE, 2024

[DOI]
[URL]

Fine-tuning Self-Supervised Models For Language Identification Using Orthonormal Constraint, Amrutha Prasad, Andrés Carofilis, Geoffroy Vanderreydt, Driss Khalil, Srikanth Madikeri, Petr Motlicek and Schüpbach Christof, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), pages 11921-11925, 2024

[DOI]

Online Learning of Continuous Signed Distance Fields Using Piecewise Polynomials, Ante Marić, Yiming Li and Sylvain Calinon, in: IEEE Robotics and Automation Letters (RA-L), 9(6):6020-6026, 2024

[DOI]
[URL]

Probability-Aware Word-Confusion-Network-to-Text Alignment Approach for Intent Classification, Esaú Villatoro-Tello, Srikanth Madikeri, Bidisha Sharma, Driss Khalil, Shashi Kumar, Nigmatulina Iuliia, Petr Motlicek and Aravind Ganapathiraju, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Republic of Korea, pages 12617-12621, IEEE, 2024

[DOI]
[URL]

CONTEXTUAL BIASING METHODS FOR IMPROVING RARE WORD DETECTION IN AUTOMATIC SPEECH RECOGNITION, Mrinmoy Bhattacharjee, Nigmatulina Iuliia, Amrutha Prasad, Pradeep Rangappa, Srikanth Madikeri, Petr Motlicek, Hartmut Helmke and Matthias Kleinert, in: Proceedings of the 49th IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) 2024, Seoul, Korea, 2024

SYLLABLE LEVEL FEATURES FOR PARKINSON'S DISEASE DETECTION FROM SPEECH, Sevada Hovsepyan and Mathew Magimai-Doss, in: ICASSP, 2024

CONTENT-BASED OBJECTIVE EVALUATION OF ARTIFICIALLY GENERATED SIGN LANGUAGE VIDEOS, Neha Tarigopula, Preyas Garg, Skanda Muralidhar, Sandrine Tornay, Dinesh Babu Jayagopi and Mathew Magimai-Doss, in: ICASSP, 2024

Bi-directional Training for Composed Image Retrieval via Text Prompt Learning, Zheyuan Liu, Weixuan Sun, Yicong Hong, Damien Teney and Stephen Gould, in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

[URL]

A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, Jordan Meadows, Marco Valentino, Damien Teney and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

[URL]

Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder, Zheyuan Liu, Weixuan Sun, Damien Teney and Stephen Gould, in: Transactions on Machine Learning Research (TMLR), 2024

[URL]

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup, Damien Teney, Jindong Wang and Ehsan Abbasnejad, in: International Conference on Machine Learning (ICML), 2024

[URL]

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning, Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yiqiang Chen, Qiang Yang, Xing Xie and Xiangyang Ji, in: NeurIPS 2024 Workshop on Federated Learning, 2024

[URL]

Tensor Train for Global Optimization Problems in Robotics, Suhan Shetty, Teguh Santoso Lembono, Tobias Löw and Sylvain Calinon, in: International Journal of Robotics Research, 43(6):811-839, 2024

[DOI]

EdgeFace: Efficient Face Recognition Model for Edge Devices, Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza, Ketan Kotwal and Sébastien Marcel, Idiap-RR-01-2024

Mitigating Demographic Bias in Face Recognition via Regularized Score Calibration, Ketan Kotwal and Sébastien Marcel, in: IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, IEEE/CVF, 2024

ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees, Sina Sajadmanesh and Daniel Gatica-Perez, in: The 17th ACM International Conference on Web Search and Data Mining, 2024

Estimating Breathing Pattern from Raw Speech Waveform and Short-term Speech Spectrum using Neural Networks, Zohreh Mostaani, Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik and Mathew Magimai-Doss, Idiap-RR-12-2024

Building Structured Synthetic Datasets: The Case of Blackbird Language Matrices (BLMs), Paola Merlo, Giuseppe Samo, Vivi Nastase and Chunyang Jiang, in: Proceedings of the 9th Italian Conference on Computational Linguistics, 2023

Blackbird Language Matrices Tasks for Generalization, Paola Merlo, Chunyang Jiang, Giuseppe Samo and Vivi Nastase, in: Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP, ACL, 2023

BLM-s/lE: A structured dataset of English spray-load verb alternations for testing generalization in LLMs., Giuseppe Samo, Vivi Nastase, Chunyang Jiang and Paola Merlo, in: Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks., Aixiu An, Chunyang Jiang, Maria A. Rodriguez, Vivi Nastase and Paola Merlo, in: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Strong and Efficient Baselines for Open Domain Conversational Question Answering, Andrei Catalin Coman, Gianni Barlacchi and Adrià de Gispert, in: Findings of EMNLP, Association for Computational Linguistics, 2023

[DOI]
[URL]

IRL-Net: Inpainted Region Localization Network via Spatial Attention, Amir Etefaghi Daryani, Mahdieh Mirmahdi, Ahmad Hassanpour, Hatef Otroshi Shahreza, Bian Yang and Julian Fierrez, in: IEEE Access, 11, 2023

[DOI]
[URL]

Factors that Affect Personalization of Robots for Older Adults, Laura Stegner, Emmanuel Senft and Bilge Mutlu, in: CONCATENATE Workshop at HRI 2023 in Stockholm, Sweden, 2023

[URL]

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life, Lakmal Buddika Meegahapola, EPFL, 2023

Transformers as Graph-to-Graph Models, James Henderson, Alireza Mohammadshahi, Andrei Catalin Coman and Lesly Miculicich, in: Big Picture Workshop at EMNLP 2023, 2023

Nonparametric Variational Regularisation of Pretrained Transformers, Fabio Fehr and James Henderson, in: ArXiv, 2023

[DOI]
[URL]

Loose and Tight: Creative Formation but Rigid Use of Nominal Compounds in Conspiracist Texts, Alessandro miani, Lonneke van der Plas and Adrian Bangerter, in: The Journal of Creative Behavior, 2023

From Zero Energy to Zero Power Buildings: a new paradigm for a sustainable transition of the building stock, Matteo Bilardo, Jérôme Kämpf and Enrico Fabrizio, in: Sustainable Cities and Society, 2023

[DOI]
[URL]

Automatic Speech Analysis Framework for ATC Communication in HAAWAII, Petr Motlicek, Amrutha Prasad, Nigmatulina Iuliia, Hartmut Helmke, Oliver Ohneiser and Matthias Kleinert, in: 13th SESAR Innovation Days, 2023

International Conference on the Voynich Manuscript 2022, Colin Layfield, René Zandbergen, Lisa Fagin Davis, John Abela, Claire Bowern, Michael Rosner and Lonneke van der Plas, in: Proceedings of the International Conference on Historical Cryptology, 2023

Findings of the IWSLT 2023 evaluation campaign, Milind Agarwal, Sweta Agarwal, Antonios Anastasopoulos, Luisa Bentivogli, Ondrej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry Declerck, Qianqian Dong, Kevin Duh, Yannick Esteve, Marcello Federico, Souhir Gahbiche, Barry Haddow, Benjamin Hsu, Phu Mon Htut, Hirofumi Inaguma, David Javorsky, John Judge, Yasumasa Kano, Tom Ko, Rishu Kumar, Pengwei Li, Xutai Ma, Prashant Mathur, Evgeny Matusov, Paul McNamee, John P. McCrae, Kenton Murray, Maria Nadejde, Satoshi Nakamura, Matteo Negri, Ha Nguyen, Jan Niehues, Xing Niu, Atul Kr. Ojha, John E. Ortega, Proyag Pal, Juan Pino, Lonneke van der Plas, Peter Polak, Elijah Rippeth, Elizabeth Salesky, Jiatong Shi, Matthias Sperber, Sebastian Stuker, Katsuhito Sudoh, Yun Tang, Brian Thompson, Kevin Tran, Marco Turchi, Alex Waibe, Mingxuan Wang, Shinji Watanabe and Rodolfo Zevallos, in: Proceedings of the IWSLT conference, 2023