Idiap Publications - Public RSS - Publications 2.0 Idiap Publications - Public RSS - Publications 2.0 https://publications.idiap.ch/ idiap.ch Advancing Neural Representations for Paralinguistic Analysis: From Speech Emotion to Parkinson’s Disease Assessment Tilak Purohit: "Advancing Neural Representations for Paralinguistic Analysis: From Speech Emotion to Parkinson’s Disease Assessment" https://publications.idiap.ch/publications/show/5826 The EMN Country Factsheets Structured Dataset David Alonso del Barrio and Daniel Gatica-Perez: "The EMN Country Factsheets Structured Dataset" https://publications.idiap.ch/publications/show/5825 Minimal neuron ablation triggers catastrophic collapse in the language core of Large Vision-Language Models Cen Lu, Yung-Chen Tang and Andrea Cavallaro: "Minimal neuron ablation triggers catastrophic collapse in the language core of Large Vision-Language Models" https://publications.idiap.ch/publications/show/5824 CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning Yung-Chen Tang, Pin-Yu Chen and Andrea Cavallaro: "CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning" https://publications.idiap.ch/publications/show/5823 Rethinking the Role of Collaborative Robots in Rehabilitation Vivek Gupte, Shalutha Rajapakshe and Emmanuel Senft: "Rethinking the Role of Collaborative Robots in Rehabilitation" https://publications.idiap.ch/publications/show/5822 The impact of abstract and object tags on image privacy classification Darya Baranouskaya and Andrea Cavallaro: "The impact of abstract and object tags on image privacy classification" https://publications.idiap.ch/publications/show/5821 Which private attributes do VLMs agree on and predict well? Olena Hrynenko, Darya Baranouskaya, Alina Elena Baia and Andrea Cavallaro: "Which private attributes do VLMs agree on and predict well?" https://publications.idiap.ch/publications/show/5820 A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems Gökhan Özbulak, Oscar Jimenez-del-Toro, Maíra Fatoretto, Lilian Berton and André Anjos: "A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems" https://publications.idiap.ch/publications/show/5819 Geometry-aware Policy Imitation 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 A Riemannian Take on Distance Fields and Geodesic Flows in Robotics 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 Benchmarking Multimodal Large Language Models for Face Recognition Hatef Otroshi Shahreza and Sébastien Marcel: "Benchmarking Multimodal Large Language Models for Face Recognition" https://publications.idiap.ch/publications/show/5816 Reducing Prompt Sensitivity in LLM-based Speech Recognition Through Learnable Projection 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 Text-only adaptation in LLM-based ASR through text denoising 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 PrivLEX: Detecting legal concepts in images through Vision-Language Models Darya Baranouskaya and Andrea Cavallaro: "PrivLEX: Detecting legal concepts in images through Vision-Language Models" https://publications.idiap.ch/publications/show/5813 Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives 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 On the Generation of Face Morphs by Inversion of Optimal Morph Embeddings 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 Grey-Box RC Building Models for Intelligent Management of Large-Scale Energy Flexibility: From Mass Modeling to Decentralized Digital Twins 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 Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction 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 Leveraging Untranscribed Data for End-to-End Speech and Callsign Recognition in Air-Traffic Communication 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 Text-Graph Encoders and Retrieval-Augmented Generation Andrei Catalin Coman: "Text-Graph Encoders and Retrieval-Augmented Generation" https://publications.idiap.ch/publications/show/5803 Towards Integrated Processing of Physiological Signals and Speech Zohreh Mostaani: "Towards Integrated Processing of Physiological Signals and Speech" https://publications.idiap.ch/publications/show/5802 Advancing Phonology-Based Sign Language Assessment: From Learner to Machine-Generated Videos Neha Tarigopula: "Advancing Phonology-Based Sign Language Assessment: From Learner to Machine-Generated Videos" https://publications.idiap.ch/publications/show/5801 Measuring negative emotions and stress through acoustic correlates in speech: A systematic review 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 UpSMART: five years of digital innovation in cancer clinical research---achievements, challenges, and recommendations 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 SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning 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 Inductive Learning of Logical Theories with LLMs: A Complexity-graded Analysis 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 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: "Synergy and diversity in CLIP: Enhancing performance through adaptive backbone ensembling" https://publications.idiap.ch/publications/show/5793 Bayesian low-rank learning (Bella): A practical approach to bayesian neural networks 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 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: "Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection" https://publications.idiap.ch/publications/show/5791 Cancelable Face Biometrics With Soft-Biometric Privacy Enhancement 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 Subtask C: Tools and methods to leverage the thermal demand response potential in buildings connected to thermal networks 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 Subtask D: Description and comparative analysis of case studies 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 Assessing the reliability of archetype-based Urban Building Energy Simulations: A case study analysis in Turin (Italy) 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 OpenBEERS: A digital platform for urban scale simulation of building energy efficiency 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 Listening to Hypoglycemia: Voice as a Biomarker for Detection of a Medical Emergency Using Machine Learning 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 Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs 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 An evidence-based guidance framework for neural network system diagrams Guy Marshall, Andre Freitas and Caroline Jay: "An evidence-based guidance framework for neural network system diagrams" https://publications.idiap.ch/publications/show/5779 Montague semantics and modifier consistency measurement in neural language models 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 Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data 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 TableDC: Deep Clustering for Tabular Data Hafiz Rauf, Andre Freitas and Norman Paton: "TableDC: Deep Clustering for Tabular Data" https://publications.idiap.ch/publications/show/5776 Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions 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 Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations 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 Controlling Equational Reasoning in Large Language Models with Prompt Interventions Jordan Meadows, Marco Valentino and Andre Freitas: "Controlling Equational Reasoning in Large Language Models with Prompt Interventions" https://publications.idiap.ch/publications/show/5773 A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models 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 PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement 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 Improving chain-of-thought reasoning via quasi-symbolic abstractions 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 Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations 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 MASA: A Modular Framework for LLM-Driven Multi-Agent Systems for Autoformalization 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 TRACE: Training and Inference-Time Interpretability Analysis for Language Models Nura Aljaafari, Danilo Carvalho and Andre Freitas: "TRACE: Training and Inference-Time Interpretability Analysis for Language Models" https://publications.idiap.ch/publications/show/5767 CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment 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