Publication list - Idiap Publications

Investigation of accuracy and bias in face recognition trained with synthetic data, Pavel Korshunov, Ketan Kotwal, Christophe Ecabert, Vidit Vidit, Amir Mohammadi and Sébastien Marcel, in: Proceedings of IEEE International Joint Conference on Biometrics, 2025

Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexity, Mutian He and Philip N. Garner, in: 13th International Conference on Learning Representations (ICLR), 2025

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kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech, Karl El Hajal, Ajinkya Kulkarni, Enno Hermann and Mathew Magimai-Doss, in: Proceedings of the Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Albuquerque, New Mexico, ACL, 2025

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LangVAE and LangSpace: Building and Probing for Language Model VAEs, Danilo Carvalho, Yingji Zhang, Harriet Unsworth and Andre Freitas, in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025

Latent Space Factorization in LoRA, Shashi Kumar, Yacouba Kaloga, John Mitros, Petr Motlicek and Ina Kodrasi, in: 39th Conference on Neural Information Processing Systems, 2025

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Loose Social-Interaction Recognition in Real-world Therapy Scenarios, Abid Ali, Rui Dai, Ashish Marisetty, Guillaume Astruc, Monique Thonnat, Jean-Marc Odobez, Suzanne Thümmler and Francois Bremond, in: IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

ManiDP: Manipulability-Aware Diffusion Policy for Posture-Dependent Bimanual Manipulation, Z. Li, J. Liu, D. Li, T. Teng, M. Li, Sylvain Calinon, D. G. Caldwell and F. Chen, in: In Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), 2025

MASA: A Modular Framework for LLM-Driven Multi-Agent Systems for Autoformalization, Lan Zhang, Marco Valentino and Andre Freitas, in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MM-HSD: Multi-Modal Hate Speech Detection in Videos, Berta Céspedes-Sarrias, Carlos Collado-Capell, Pablo Rodenas-Ruiz, Olena Hrynenko and Andrea Cavallaro, in: Proceedings of the 33rd ACM International Conference on Multimedia (MM'25), October 27-31, 2025, Dublin, Ireland., 2025

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Montague semantics and modifier consistency measurement in neural language models, Danilo Carvalho, Edoardo Manino, Julia Rozanova, Lucas Cordeiro and Andre Freitas, in: 31st International Conference on Computational Linguistics, 2025

Movement Generation and Drawing in Robotics, Sylvain Calinon, in: In Proc. 22nd Conference of the International Graphonomics Society (IGS), 2025

Multilingual vs. monolingual transformer models in encoding linguistic structure and lexical abstraction, Vivi Nastase, Giuseppe Samo, Chunyang Jiang and Paola Merlo, in: CLiC-it 2025: Eleventh Italian Conference on Computational Linguistics, September 24 ? 26, 2025, Cagliari, Italy, 2025

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Multimodal Prosody Modeling: A Use Case for Multilingual Sentence Mode Prediction, Bogdan Vlasenko and Mathew Magimai-Doss, in: Proceedings of Interspeech, 2025

Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection, Yacouba Kaloga, Sheikh Shakeel and Ina Kodrasi, in: International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, IEEE, 2025

Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection, Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney, Damith Ranasinghe and Ehsan Abbasnejad, in: Advances in neural information processing systems, 2025

Nexus: An Omni-Perceptive And-Interactive Model for Language, Audio, And Vision, Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, Andre Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang and Yong Dai, in: ACM Multimedia, 2025

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?, Liangze Jiang and Damien Teney, in: Forty-Second International Conference on Machine Learning, 2025

OpenBEERS: A digital platform for urban scale simulation of building energy efficiency, David Geissbuhler, Alejandro Pena-Bello, Jérôme Kämpf and Jakob Rager, in: Journal of Physics: Conference Series, pages 042013, IOP Publishing, 2025

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Optimizing Supply Temperature Control in District Heating Networks via Differentiable Dynamic Simulation and Gradient Descent, Roberto Boghetti and Jérôme Kämpf, in: Proceedings of the 3rd International Conference on Construction, Energy, Environment and Sustainability (Volume 2), 2025

PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement, Xin Quan, Marco Valentino, Danilo Carvalho, Dhairya Dalal and Andre Freitas, in: Demonstration at 63rd Annual Meeting of the Association for Computational Linguistics, 2025

Performance Evaluation of SLAM-ASR: The Good, the Bad, the Ugly, and the Way Forward, Shashi Kumar, Iuliia Thorbecke, Sergio Burdisso, Esaú Villatoro-Tello, Manjunath K E, Kadri Hacioğlu, Pradeep Rangappa, Petr Motlicek, Aravind Ganapathiraju and Andreas Stolcke, in: SALMA Workshop, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, IEEE, 2025

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Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025, Matej Vitek, Darian Tomašević, Abhijit Das, Sabari Nathan, Gökhan Özbulak, Gözde Ayşe Tataroğlu Özbulak, Jean-Paul Calbimonte, André Anjos, Hariohm Hemant Bhatt, Dhruv Dhirendra Premani, Jay Chaudhari, Caiyong Wang, Jian Jiang, Chi Zhang, Qi Zhang, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Divya Velayudan, Maregu Assefa, Naoufel Werghi, Zachary A Daniels, Leeon John, Ritesh Vyas, Jalil Nourmohammadi Khiarak, Taher Akbari Saeed, Mahsa Nasehi, Ali Kianfar, Mobina Pashazadeh Panahi, Geetanjali Sharma, Pushp Raj Panth, Raghavendra Ramachandra, Aditya Nigam, Umapada Pal, Helio Pedrini and Vitomir Struc, in: International Joint Conference on Biometrics, IEEE, 2025

Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoders, Yingji Zhang, Danilo Carvalho and Andre Freitas, in: 29th Conference on Computational Natural Language Learning (nominated for a best paper award), 2025

RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation, Andrei Catalin Coman, Ionuț-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson and Adrià de Gispert, in: Empirical Methods in Natural Language Processing, 2025

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Second Competition on Presentation Attack Detection on ID Card, Juan E. Tapia, Nieto Mario, Juan Espin, Alvaro Sanchez, Naser Damer, Christoph Busch, Marija Ivanovska, Leon Todorov, Renat Khizbullin, Aleksei Grishin, Lazar Lazarevic, Daniel Schulz, Sebastian Gonzalez, Amir Mohammadi, Ketan Kotwal, Sébastien Marcel, Raghavendra Mudgalgundurao, Kiran B. Raja, Patrick Schuch, Pedro Couto, Joao Pinto, Mariana Xavier, Andres Valenzuela, Borut Batagelj, Javier Barrachina, Marko Peterlin, Peter Peer, Ajnas Muhammed, Diogo Nunes, Nuno Gonçalves, Sushrut Patwardhan and Raghavendra Ramachandra, in: IEEE International Joint Conference on Biometrics (IJCB), 2025

Securing Face and Fingerprint Templates in Humanitarian Biometric Systems, Vedrana Krivokuca, Giuseppe Stragapede, Sam Merrick, Justin Sukaitis and Vincent Graf Narbel, in: Proceedings of the International Joint Conference on Biometrics (IJCB 2025), Osaka, Japan, IEEE, 2025

Soft Skills in the Wild: Challenges in Multilingual Classification, Laura Vásquez-Rodríguez, Bertrand Audrin, Samuel Michel, Samuele Galli, Julneth Rogenhofer, Jacopo Negro Cusa and Lonneke van der Plas, in: Proceedings of the 10th edition of the Swiss Text Analytics Conference, 2025

Specializing General-purpose LLM Embeddings for Implicit Hate Speech Detection across Datasets, Vassiliy Cheremetiev, Quang Long Ho Ngo, Chau Ying Kot, Alina Elena Baia and Andrea Cavallaro, in: Proceedings of the 2nd International Workshop on Diffusion of Harmful Content on Online Web (DHOW '25), October 27--28, 2025, Dublin, Ireland, 2025

Speech Data Selection for Efficient ASR Fine-Tuning using Domain Classifier and Pseudo-Label Filtering, Pradeep Rangappa, Juan Zuluaga-Gomez, Srikanth Madikeri, Andrés Carofilis, Jeena Prakash, Sergio Burdisso, Shashi Kumar, Esaú Villatoro-Tello, Nigmatulina Iuliia, Petr Motlicek, Karthik Pandia D S and Aravind Ganapathiraju, in: 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), 2025

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STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks, Damien Geissbuhler, Alban Bornet, Catarina Marques, André Anjos, Sónia Pereira and Douglas Teodoro, in: International Conference on Artificial Intelligence in Medicine, Pavia, Italy, 2025

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SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning, Magdalena Wysocka, Danilo Carvalho, Oskar Wysocki, Marco Valentino and Andre Freitas, in: Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025

Synergy and diversity in CLIP: Enhancing performance through adaptive backbone ensembling, Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor and Anton van den Hengel, in: International Conference on Learning Representations, 2025

Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion, David Geissbuhler, Hatef Otroshi Shahreza and Sébastien Marcel, in: The Forty-second International Conference on Machine Learning (ICML), 2025

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TableDC: Deep Clustering for Tabular Data, Hafiz Rauf, Andre Freitas and Norman Paton, in: ACM SIGMOD International Conference on Management of Data, 2025

Testing the assumptions about the geometry of sentence embedding spaces: the cosine measure need not apply, Vivi Nastase and Paola Merlo, in: arXiv, 2025

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The Greatest Challenge For Startups: Computational Text Analysis on Swiss Ventures, Takahiro Inada, Esaú Villatoro-Tello, Jung Park, Jim Pulcrano and Benoit F. Leleux, in: Academy of Management Proceedings 2025., 2025

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The Invisible Threat: Evaluating the Vulnerability of Cross-Spectral Face Recognition to Presentation Attacks, Anjith George and Sébastien Marcel, in: International Joint Conference on Biometrics (IJCB 2025), IEEE., 2025

The Suisse Romande Local News Dataset, Victor Bros and Daniel Gatica-Perez, in: Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation, Shashi Kumar, Srikanth Madikeri, Esaú Villatoro-Tello, Sergio Burdisso, Pradeep Rangappa, Andrés Carofilis, Petr Motlicek, Karthik Pandia D S, Shankar Venkatesan, Kadri Hacioğlu and Andreas Stolcke, in: 2025 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), IEEE, 2025

Towards Accessible and Intuitive Shared Autonomy, Shalutha Rajapakshe, in: Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025

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Towards Dynamic Skeleton-based Handshape Subunits for Sign Language Assessment, Sandrine Tornay and Mathew Magimai-Doss, in: Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025

Towards interpretable emotion recognition: Identifying key features with machine learning, Yacouba Kaloga and Ina Kodrasi, in: Forum Acusticum/EuroNoise, Malaga, Spain, 2025

Towards Leveraging Sequential Structure in Animal Vocalizations, Eklavya Sarkar and Mathew Magimai-Doss, in: Neural Information Processing Systems workshop: AI for Non-Human Animal Communication, 2025

TRACE: Training and Inference-Time Interpretability Analysis for Language Models, Nura Aljaafari, Danilo Carvalho and Andre Freitas, in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning, Zachary Shinnick, Liangze Jiang, Hemanth Saratchandran, Anton van den Hengel and Damien Teney, in: ICML 2025 Workshop on Methods and Opportunities at Small Scale, 2025

Unifying Global and Near-Context Biasing in a Single Trie Pass., Thorbecke Iuliia, Esaú Villatoro-Tello, Juan Zuluaga-Gomez, Shashi Kumar, Sergio Burdisso, Pradeep Rangappa, Andrés Carofilis, Srikanth Madikeri, Petr Motlicek, Karthik Pandia D S, Kadri Hacioğlu and Andreas Stolcke, in: Text, Speech, and Dialogue. TSD 2025. Lecture Notes in Computer Science, Springer, Springer, 2025

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Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR, Karl El Hajal, Enno Hermann, Ajinkya Kulkarni and Mathew Magimai-Doss, in: Proceedings of Workshop on Speech Pathology Analysis and DEtection (SPADE), Hyderabad, India, IEEE, 2025

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Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech, Karl El Hajal, Enno Hermann, Sevada Hovsepyan and Mathew Magimai-Doss, in: Proceedings of Interspeech, Rotterdam, Netherlands, ISCA, 2025

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Unveiling Audio Deepfake Origins: A Deep Metric learning And Conformer Network Approach With Ensemble Fusion, Ajinkya Kulkarni, Dowerah Sandipana, Mathew Magimai-Doss and Tanel alumae, in: Proceedings of Interspeech, 2025