Publication list - Idiap Publications

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

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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

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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

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

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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, 2024

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), 2024

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

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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, 2024

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

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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

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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

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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

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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

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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

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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

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

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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

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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

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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

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Verification of an open-source Python library for the simulation of district heating networks with complex topologies, Roberto Boghetti and Jérôme Kämpf, in: Energy, 2023

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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

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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

Data-driven Urban Building Energy Modeling with Machine Learning in Satom (CH), Ahad Montazeri, Jérôme Kämpf and Guglielmina Mutani, in: 6th International IEEE Conference AND Workshop in Obuda on Electrical and Power Engineering, 2023

A Machine Learning Model for the Prediction of Building Hourly Heating Demand from CityGML Files: Training Workflow and Deployment as an API, Marco Tognoli, Giuseppe Peronato and Jérôme Kämpf, in: Proceedings of Building Simulation 2023: 18th Conference of IBPSA, pages 2932 - 2939, 2023

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Data-driven urban building energy modeling in Satom (CH): The energy savings potential and use of available renewable energy sources., Ahad Montazeri, Guglielmina Mutani and Jérôme Kämpf, Politecnico di Torino, 2023

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Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy, Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Manon Pillai, Jennifer Allison, Donal Landers, Elaine Kilgour, Fiona Thistlethwaite and Andre Freitas, in: Journal of Biomedical Informatics, 142, 2023

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Epidemiological and clinical analysis of polish short-term and long-term travelers returning from tropical countries, Oskar Wysocki, Martyna Bykowska-Tumasz and Katarzyna Sikorska, in: Travel Medicine and Infectious Disease, 55, 2023

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Defining the role of real-world data in cancer clinical research: the position of the European Organisation for Research and Treatment of Cancer, Robbe Saese, Andre Freitas and et al., in: European Journal of Cancer, 2023

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data, Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Donal Landers and Andre Freitas, in: BMC Bioinformatics, 24(198), 2023

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Learning Lessons from the COVID-19 pandemic for Real World Evidence research in Oncology–shared perspectives from an international consortia, Luis Castelo-Branco, Andre Freitas and et al., in: ESMO Open, 2023

What do individuals with visual impairment need and want from a dialogue-based digital assistant?, John Taylor, Ahalya Subramanian, Andre Freitas, Deborah Mendes and Chris Dickinson, in: Clinical and Experimental Optometry, 2023

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023

Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023

SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023

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Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks, Jordan Meadows and Andre Freitas, in: Transactions of the ACL, 2023

A Canonical Context-preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences, Christina Niklaus, Mathias Cetto, Andre Freitas and Siegfried Handschuh, in: Knowledge-based Systems, 2023

Learning Disentangled Representations for Natural Language Definitions, Danilo Carvalho, Giangiacomo Mercatali, Yingji Zhang and Andre Freitas, in: In Findings of the European chapter of Association for Computational Linguistics, 2023