Idiap Publications - Public RSS - Publications 2.0 https://publications.idiap.ch/ idiap.ch Yiming Li, Nael Darwiche, Amirreza Razmjoo, sichao Liu, Yilun Du, Auke Ijspeert and Sylvain Calinon: "Geometry-aware Policy Imitation" https://publications.idiap.ch/publications/show/5818 Yiming Li, Jiacheng Qiu and Sylvain Calinon: "A Riemannian Take on Distance Fields and Geodesic Flows in Robotics" https://publications.idiap.ch/publications/show/5817 Hatef Otroshi Shahreza and Sébastien Marcel: "Benchmarking Multimodal Large Language Models for Face Recognition" https://publications.idiap.ch/publications/show/5816 Sergio Burdisso, Esaú Villatoro-Tello, Shashi Kumar, Srikanth Madikeri, Andrés Carofilis, Pradeep Rangappa, Manjunath K E, Kadri Hacioğlu, Petr Motlicek and Andreas Stolcke: "Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection" https://publications.idiap.ch/publications/show/5815 Sergio Burdisso, Esaú Villatoro-Tello, Andrés Carofilis, Shashi Kumar, Kadri Hacioğlu, Srikanth Madikeri, Pradeep Rangappa, Manjunath K E, Petr Motlicek, Shankar Venkatesan and Andreas Stolcke: "Text-only adaptation in LLM-based ASR through text denoising" https://publications.idiap.ch/publications/show/5814 Darya Baranouskaya and Andrea Cavallaro: "PrivLEX: Detecting legal concepts in images through Vision-Language Models" https://publications.idiap.ch/publications/show/5813 Dilermando Queiroz Neto, Anderson Carlos, André Anjos and Lilian Berton: "Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives" https://publications.idiap.ch/publications/show/5812 Hatef Otroshi Shahreza, Laurent Colbois and Sébastien Marcel: "On the Generation of Face Morphs by Inversion of Optimal Morph Embeddings" https://publications.idiap.ch/publications/show/5810 Leonardo A. Bisogno Bernardini, Jérôme Kämpf, Umberto Desideri, Francesco Leccese and Giacomo Salvadori: "Grey-Box RC Building Models for Intelligent Management of Large-Scale Energy Flexibility: From Mass Modeling to Decentralized Digital Twins" https://publications.idiap.ch/publications/show/5809 Chunyang Jiang and Paola Merlo: "Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction" https://publications.idiap.ch/publications/show/5806 Petr Motlicek, Shashi Kumar, Driss Khalil, Amrutha Prasad and Schüpbach Christof: "Leveraging Untranscribed Data for End-to-End Speech and Callsign Recognition in Air-Traffic Communication" https://publications.idiap.ch/publications/show/5804 Andrei Catalin Coman: "Text-Graph Encoders and Retrieval-Augmented Generation" https://publications.idiap.ch/publications/show/5803 Zohreh Mostaani: "Towards Integrated Processing of Physiological Signals and Speech" https://publications.idiap.ch/publications/show/5802 Neha Tarigopula: "Advancing Phonology-Based Sign Language Assessment: From Learner to Machine-Generated Videos" https://publications.idiap.ch/publications/show/5801 Lilien Schewski, Mathew Magimai-Doss, Guido Beldi and Sandra Keller: "Measuring negative emotions and stress through acoustic correlates in speech: A systematic review" https://publications.idiap.ch/publications/show/5797 Paul O'Regan, Fouziah Butt, Louise Carter, Donna M. Graham, Anja Le Blanc, Richard Hoskins, Laura Stephenson, Akshita Patil, Muhammad Shabbir, Dilan Eken, Subir Singh, Andrea Villa, Luca Agnelli, Silvia Damian, Christopher Grave, Giulia Pretelli, Elena Garralda, Hannah Frost, Filippo de Braud, Andre Freitas, Caroline Dive and Harriet Unsworth: "UpSMART: five years of digital innovation in cancer clinical research---achievements, challenges, and recommendations" https://publications.idiap.ch/publications/show/5796 Magdalena Wysocka, Danilo Carvalho, Oskar Wysocki, Marco Valentino and Andre Freitas: "SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning" https://publications.idiap.ch/publications/show/5795 João Gandarela, Danilo Carvalho and Andre Freitas: "Inductive Learning of Logical Theories with LLMs: A Complexity-graded Analysis" https://publications.idiap.ch/publications/show/5794 Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney, Hamed Damirchi, Edison Marrese-Taylor and Anton van den Hengel: "Synergy and diversity in CLIP: Enhancing performance through adaptive backbone ensembling" https://publications.idiap.ch/publications/show/5793 Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Damien Teney, Damith Ranasinghe and Ehsan Abbasnejad: "Bayesian low-rank learning (Bella): A practical approach to bayesian neural networks" https://publications.idiap.ch/publications/show/5792 Ignacio Meza De la Jara, Cristian Rodriguez-Opazo, Damien Teney, Damith Ranasinghe and Ehsan Abbasnejad: "Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection" https://publications.idiap.ch/publications/show/5791 Pietro Melzi, Hatef Otroshi Shahreza, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Sébastien Marcel and Christoph Busch: "Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement" https://publications.idiap.ch/publications/show/5790 Hicham Johra, Markus Schaffer, Daniel Leiria, Roberto Boghetti, Elisa Guelpa, Christopher Graf, Benedetto Nastasi, Ingo Leusbrock, Anders Rhiger Hansen, Stefano Mazzoni, Salam Al-Saegh, Qian Wang, Yangzhe Chen, Zeng Peng, Jad Al Koussa, Steffen Petersen and Jérôme Kämpf: "Subtask C: Tools and methods to leverage the thermal demand response potential in buildings connected to thermal networks" https://publications.idiap.ch/publications/show/5788 Christopher Graf, Anna Cadenbach, Ruben Otte, Anna Marszal-Pomianowska, Elisa Guelpa, Vittorio Verda, Ingo Leusbrock, Demet Suna, Ralf-Roman Schmidt, Ole Michael Jensen, Laura Lehmann, Clemens Felsmann, Axel Oliva, Toke Haunstrup Bach Christensen, Jad Al Koussa, Tijs van Oevelen, Dirk Vanhoudt, Michele Tunzi, Roberto Boghetti and Jérôme Kämpf: "Subtask D: Description and comparative analysis of case studies" https://publications.idiap.ch/publications/show/5786 Matteo Piro, Jérôme Kämpf, Ilaria Ballarini and Vincenzo Corrado: "Assessing the reliability of archetype-based Urban Building Energy Simulations: A case study analysis in Turin (Italy)" https://publications.idiap.ch/publications/show/5785 David Geissbuhler, Alejandro Pena-Bello, Jérôme Kämpf and Jakob Rager: "OpenBEERS: A digital platform for urban scale simulation of building energy efficiency" https://publications.idiap.ch/publications/show/5784 Vera Lehmann, Martin Hilpert, Zohreh Mostaani, Sevada Hovsepyan, Esmé Wallace, Colombine Verzat, Stefan Feuerriegel, Mathias Kraus, James Rosenthal, Gürkan Yilmaz, Mathew Magimai-Doss and Christoph Stettler: "Listening to Hypoglycemia: Voice as a Biomarker for Detection of a Medical Emergency Using Machine Learning" https://publications.idiap.ch/publications/show/5782 Maxime Delmas, Magdalena Wysocka, Danilo Gusicuma and Andre Freitas: "Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs" https://publications.idiap.ch/publications/show/5780 Guy Marshall, Andre Freitas and Caroline Jay: "An evidence-based guidance framework for neural network system diagrams" https://publications.idiap.ch/publications/show/5779 Danilo Carvalho, Edoardo Manino, Julia Rozanova, Lucas Cordeiro and Andre Freitas: "Montague semantics and modifier consistency measurement in neural language models" https://publications.idiap.ch/publications/show/5778 Thiago Almeida, Gustavo Leticio, Lucas Pascotti, Andre Freitas and Daniel Pedronette: "Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data" https://publications.idiap.ch/publications/show/5777 Hafiz Rauf, Andre Freitas and Norman Paton: "TableDC: Deep Clustering for Tabular Data" https://publications.idiap.ch/publications/show/5776 Hafiz Rauf, Alex Bogatu, Norman Paton and Andre Freitas: "Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions" https://publications.idiap.ch/publications/show/5775 Leonardo Ranaldi, Marco Valentino and Andre Freitas: "Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations" https://publications.idiap.ch/publications/show/5774 Jordan Meadows, Marco Valentino and Andre Freitas: "Controlling Equational Reasoning in Large Language Models with Prompt Interventions" https://publications.idiap.ch/publications/show/5773 Geonhee Kim, Marco Valentino and Andre Freitas: "A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models" https://publications.idiap.ch/publications/show/5772 Xin Quan, Marco Valentino, Danilo Carvalho, Dhairya Dalal and Andre Freitas: "PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement" https://publications.idiap.ch/publications/show/5771 Leonardo Ranaldi, Marco Valentino, Alexander Polonsky and Andre Freitas: "Improving chain-of-thought reasoning via quasi-symbolic abstractions" https://publications.idiap.ch/publications/show/5770 Xin Quan, Marco Valentino, Louise Dennis and Andre Freitas: "Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations" https://publications.idiap.ch/publications/show/5769 Lan Zhang, Marco Valentino and Andre Freitas: "MASA: A Modular Framework for LLM-Driven Multi-Agent Systems for Autoformalization" https://publications.idiap.ch/publications/show/5768 Nura Aljaafari, Danilo Carvalho and Andre Freitas: "TRACE: Training and Inference-Time Interpretability Analysis for Language Models" https://publications.idiap.ch/publications/show/5767 Nura Aljaafari, Danilo Carvalho and Andre Freitas: "CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment" https://publications.idiap.ch/publications/show/5766 Lan Zhang, Marco Valentino and Andre Freitas: "Formalizing Complex Mathematical Statements with LLMs: A Study on Mathematical Definitions" https://publications.idiap.ch/publications/show/5765 Marco Valentino, Geonhee Kim, Dhairya Dalal, Zhixue Zhao and Andre Freitas: "Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering" https://publications.idiap.ch/publications/show/5764 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: "Nexus: An Omni-Perceptive And-Interactive Model for Language, Audio, And Vision" https://publications.idiap.ch/publications/show/5763 Yingji Zhang, Danilo Carvalho and Andre Freitas: "Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoders" https://publications.idiap.ch/publications/show/5762 Danilo Carvalho, Yingji Zhang, Harriet Unsworth and Andre Freitas: "LangVAE and LangSpace: Building and Probing for Language Model VAEs" https://publications.idiap.ch/publications/show/5761 Yingji Zhang, Marco Valentino, Danilo Carvalho and Andre Freitas: "Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study" https://publications.idiap.ch/publications/show/5760 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: "Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025" https://publications.idiap.ch/publications/show/5758 Hatef Otroshi Shahreza, Laurent Colbois and Sébastien Marcel: "3D Face Morph Generation Using Geometry-Aware Template Inversion" https://publications.idiap.ch/publications/show/5757