Idiap Publications - Public RSS - Publications 2.0 Idiap Publications - Public RSS - Publications 2.0 https://publications.idiap.ch/ idiap.ch 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 Formalizing Complex Mathematical Statements with LLMs: A Study on Mathematical Definitions 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 Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering 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 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: "Nexus: An Omni-Perceptive And-Interactive Model for Language, Audio, And Vision" https://publications.idiap.ch/publications/show/5763 Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoders Yingji Zhang, Danilo Carvalho and Andre Freitas: "Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoders" https://publications.idiap.ch/publications/show/5762 LangVAE and LangSpace: Building and Probing for Language Model VAEs 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 Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study 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 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: "Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025" https://publications.idiap.ch/publications/show/5758 3D Face Morph Generation Using Geometry-Aware Template Inversion Hatef Otroshi Shahreza, Laurent Colbois and Sébastien Marcel: "3D Face Morph Generation Using Geometry-Aware Template Inversion" https://publications.idiap.ch/publications/show/5757 Generating Synthetic Face Recognition Datasets Using Brownian Identity Diffusion and a Foundation Model Hatef Otroshi Shahreza and Sébastien Marcel: "Generating Synthetic Face Recognition Datasets Using Brownian Identity Diffusion and a Foundation Model" https://publications.idiap.ch/publications/show/5756 Validation of two distinct simulation models of district heating networks: application to efficient looping analysis Dubon Rodrigue, Roberto Boghetti, Jérôme Kämpf, Bastien Pasdeloup, Mohamed T. Mabrouk, Patrick Meyer and Bruno Lacarrière: "Validation of two distinct simulation models of district heating networks: application to efficient looping analysis" https://publications.idiap.ch/publications/show/5755 A structured synthetic dataset of English and Italian verb alternations for testing lexical abstraction via functional lexicon in LLMs. Giuseppe Samo: "A structured synthetic dataset of English and Italian verb alternations for testing lexical abstraction via functional lexicon in LLMs." https://publications.idiap.ch/publications/show/5754 Learning problem decomposition for efficient sequential multi-object manipulation planning Yan Zhang, Teng Xue, Amirreza Razmjoo Fard and Sylvain Calinon: "Learning problem decomposition for efficient sequential multi-object manipulation planning" https://publications.idiap.ch/publications/show/5753 Sampling-Based Constrained Motion Planning with Products of Experts Amirreza Razmjoo, Teng Xue, Suhan Shetty and Sylvain Calinon: "Sampling-Based Constrained Motion Planning with Products of Experts" https://publications.idiap.ch/publications/show/5752 Neural Image Abstraction Using Long Smoothing B-splines D. Berio, M. Stroh, Sylvain Calinon, F. F. Leymarie, O. Deussen and A. Shamir: "Neural Image Abstraction Using Long Smoothing B-splines" https://publications.idiap.ch/publications/show/5751 Efficient Adaptation for Speech Technology Haolin Chen: "Efficient Adaptation for Speech Technology" https://publications.idiap.ch/publications/show/5750 Modelling cochlea and its interaction with the auditory path for speech processing Louise Coppieters de Gibson: "Modelling cochlea and its interaction with the auditory path for speech processing" https://publications.idiap.ch/publications/show/5749 Study of Full-View Finger Vein Biometrics on Redundancy Analysis and Dynamic Feature Extraction Junduan Huang, Sushil Bhattacharjee, Sébastien Marcel and Wenxiong Kang: "Study of Full-View Finger Vein Biometrics on Redundancy Analysis and Dynamic Feature Extraction" https://publications.idiap.ch/publications/show/5741 Testing the assumptions about the geometry of sentence embedding spaces: the cosine measure need not apply Vivi Nastase and Paola Merlo: "Testing the assumptions about the geometry of sentence embedding spaces: the cosine measure need not apply" https://publications.idiap.ch/publications/show/5740 Responses to Past-Behavior Questions in Face-To-Face and Asynchronous Video Interviews: Storytelling, Interview Performance and Criterion Validity Elisabeth Germanier, Adrian Bangerter, Koralie Orji, Laetitia A. Renier, Marianne Schmid Mast, Mutian He and Philip N. Garner: "Responses to Past-Behavior Questions in Face-To-Face and Asynchronous Video Interviews: Storytelling, Interview Performance and Criterion Validity" https://publications.idiap.ch/publications/show/5738 Towards Leveraging Sequential Structure in Animal Vocalizations Eklavya Sarkar and Mathew Magimai-Doss: "Towards Leveraging Sequential Structure in Animal Vocalizations" https://publications.idiap.ch/publications/show/5737 EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents Anjith George and Sébastien Marcel: "EdgeDoc: Hybrid CNN-Transformer Model for Accurate Forgery Detection and Localization in ID Documents" https://publications.idiap.ch/publications/show/5735 Optimizing Supply Temperature Control in District Heating Networks via Differentiable Dynamic Simulation and Gradient Descent Roberto Boghetti and Jérôme Kämpf: "Optimizing Supply Temperature Control in District Heating Networks via Differentiable Dynamic Simulation and Gradient Descent" https://publications.idiap.ch/publications/show/5734