Scientifc Events

Idiap @Conferences

Meet our researchers at conferences

2025

Conferences 2025 to be announced!

2024

Forum des 100 - Démocratiser l'accès à la puissance de l'IA by André Anjos, October 31, 2024

Phonetics Lunch Meeting at Universität Zürich by Petr Motlicek, September 25, 2024

Workshop at ScienceComm 24 by Emmanuel Senft, September 06, 2024

Swiss Medtech Day 2024 by André Freitas, June 11, 2024

Frugal Learning of Manipulation Skills in Robots by Sylvain Calinon, May 27, 2024

Biometrics research activities by Sébastien Marcel, May 25, 2024

IBPSA Education Webinar - Urban Scale Building Modelling: Exploring CitySim by Jérôme Kämpf, May 24, 2024

Exploring Visual Attention: Methods for Analyzing Gaze cues in Everyday Contexts by Jean-Marc Odobez, May 23, 2024

L'intelligence artificielle au service de la maintenance by Emmanuel  Senft, May 18, 2024

L'IA en renfort dans la bataille contre le cancer by Raphaëlle  Luisier, May 14, 2024

More

Intelligence Artificielle: calculer, est-ce penser? by Sébastien Marcel, April 30, 2024

Lemanic Life Sciences Hackathon by Raphaëlle Luisier, April 26-27, 2024

Neural Redshift: Random Networks are not Random Functions by Damien Teney, April 26, 2024

AI for Talent Management Systems by Laura Vásquez-Rodríguez , March 14, 2024

Modelling creative thinking with computational methods by Lonneke van der Plas, March 07, 2024

AI in Teaching by Emmanuel Senft, March 05, 2024

IA, ChatGPT mais encore by Sébastien Marcel, February 27, 2024

AI in early phase clinical trials: new analytical frontiers by André Freitas, February 26, 2024

Introduction to AI and it’s potential to promote early disease detection by Raphaëlle Luisier, February 22, 2024

Decoding Amyotrophic Lateral Sclerosis through rapid and unbiased generation of hypotheses combining AI and high content imaging by Raphaëlle Luisier, February 22, 2024

Human-robot teaming for flexible manufacturing by Emmanuel Senft, February 07, 2024

Some keys to understand Biometrics by Sébastien Marcel, February 06, 2024

Deep fake generation and detection by Sébastien Marcel, January 31, 2024

Intelligence Artificielle: calculer, est-ce penser? by Sébastien Marcel, January 29, 2024

Large Language Models in 2024 - Outlooks and Challenges by James Henderson, January 29, 2024

Bayesian Language Understanding with Nonparametric Variational Transformers by Matteo Sorci, January 26, 2024

A Critical Systems Thinking approach to implementing ethics in a medical AI app by Magali Goirand (Macquarie University in Sydney), September 08, 2023

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media by Dr. Adrian Pastor López-Monroy from the Mathematics Research Center (CIMAT), Mexico, August 10, 2023

Regularized information geometric and optimal transport distances for Gaussian processes by Dr Minh Ha Quang (RIKEN AIP), March 7, 2023

Action Recognition for People Monitoring by François Brémond – STARS – INRIA – Sophia Antipolis, August 17, 2022

Physics-based modeling and the quest for intelligent robots by Prof. Stelian Coros, Computational Robotics Lab, ETH Zurich, June 30, 2022

Optical Tracking - from the lab to the NBA and the English Premier League by Horesh Ben Shitrit and Charles Dubout, June 28, 2022

Active interaction between robots and humans for automatic curriculum learning and assistive robotics by Dr. Sao Mai Nguyen - IMT Atlantique, November 17, 2021

Idiap's Talks

Seminars and conferences hosted at Idiap

2025

BLMs, architectures and experiments Group of Paola Merlo, February 11, 2025

BLMs, a framework to study LLMs linguistic competence Group of Paola Merlo, January 28, 2025

title to be determined, Group of Petr Motlicek, January 21, 2025

title to be determined, Group of Jean-Marc Odobez, January 14, 2025

2024

Les instituts universitaires: défis et opportunités by Yves Rey, Chef du Service des Hautes écoles, Etat du Valais, January 7, 2025

Learning the Geometry and Dynamics of Contact by Ante Maric, December 03, 2024

Manipulating Text on Travel Documents by Vidit, November 19, 2024

Understanding the mysteries of sleep: From brain physiology to neural networks by Olivier Pallanca, November 12, 2024

Detecting In-Person Conversations in Real-World Environments with Smartwatch Audio and Motion Sensing by Alice Zhang, November 05, 2024

Using computational linguistics & machine learning to identify hubris by Vita Akstinaitė, October 29, 2024

Surviving the Code Apocalypse: Building Resilient Research Teams by Salim Kayal, October 15, 2024

Parallel Split Learning for Wireless Networks by Yue Gao, October 11, 2024

CRiTERIA - Experiences of an EU H2020 Project by Dairazalia Sanchez-Cortes, October 08, 2024

NLP Meets Creative Media: Research Applications, Challenges and Opportunities by Elena Epure, October 04, 2024

Could deep learning video generation models understand the physical world? A philosophical perspective by Pierre Beckmann, October 02, 2024

More

Zero-Shot Text-to-Speech Using Self-Supervised Embeddings and Retrieval Methods by Karl El Hajal, October 01, 2024

Speaker recognition in forensics and homeland security by Itshak Lapidot, September 27, 2024

Beyond the Visible: Making Face Recognition Great Again by Anjith George, September 24, 2024

Participatory AI: For whom? For what? by Daniel Gatica-Perez, September 17, 2024

ABRoad: Selecting novel potential sources of antibiotics using Knowledge Graph and Large Language Models by Maxime Delmas, September 10, 2024

Generalization vs. Memorization in the Presence of Statistical Biases in Transformers by Ioanni Mitro, September 03, 2024

Rust and Python: A Powerful Duo for Research by William Droz, August 27, 2024

The Mirror Transform (https://ieeexplore.ieee.org/document/9779467) by Professor R. Leonardi, August 23, 2024

Robot Learning for Reactive Long-horizon Manipulation Planning in Dynamic Environments by Yan Zhang, August 20, 2024

Large Language Models (LLMs) & Reasoning: Perspectives from Neuro-symbolic NLP by Andre Freitas, August 13, 2024

Mitigating Demographic Bias in Face Recognition by Ketan Kotwal, July 30, 2024

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores by Alexandre Nanchen, July 23, 2024

Diffusion Morphs (DiM): The power of iterative generative models for attacking FR systems by Zander Blasingame, July 23, 2024

Test-time adaptation for automatic pathological speech detection in noisy environments by Mahdi Amiri, July 16, 2024

Climate change potential from construction materials by Karin Farsäter, July 09, 2024

Agile Research: Accelerate Insights, Optimise Solutions by Andrei Coman, June 25, 2024

What is that thing called Software Release Procedure? And how can it help you make history? by Samuel Gaist, June 18, 2024

Towards privacy-preserving data sharing with noisy embeddings by Dina El Zein, June 11, 2024

Combining digital histopathology and RNA-sequencing towards molecular understanding of cancer morphological and cellular diversity by Garance Haefliger, June 04, 2024

Opportunities for Artificial Intelligence in Blood Trace Forensics by Dr. Daniel Attinger, June 03, 2024

Physics-Inspired Methods for Synthetic Data Generation: From Langevin Dynamics to Synthetic Face Datasets by David Geissbuhler, May 28, 2024

Fast multiphoton imaging of embryonic development by Willy Supatto, May 22, 2024

Limiting the impact of disruptions in production pipeline by Anna Farkas, May 21, 2024

A demonstrator for multi-image deconvolution of thermal images by Florian Piras, May 14, 2024

Gaze Following and Social Gaze Prediction in Everyday Scenes: A Unified Approach by Anshul Gupta and Pierre Vuillecard, May 07, 2024

Can Language Models Learn Analogical Reasoning? Investigating Training Objectives and Comparisons to Human Performance by Molly Petersen, April 23, 2024

Introduction presentation - Idiap’s external Person of Trust by Aurélie Nusbaum-de Francesco, April 22, 2024

Generator Attribution of Morphing Attacks using Attack-Agnostic Representations by Laurent Colbois, April 16, 2024

Exploring Brain Rhythms during Speech Perception: Insights from Spiking Neural Networks by Alexandre Bittar, April 09, 2024

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews by Esau Villatoro, April 02, 2024

Genomic Technologies and Data: Opportunities and Challenges by Zhi Ming Xu, March 26, 2024

Solving hard problems in robotics – with a little help from semidefinite relaxations, nullspaces, and sparsity by Dr Frederike Dümbgen, March 20, 2024

Contextualisation and text adaptation of E2E automatic speech recognition by Iuliia Nigmatulina, March 12, 2024

Fostering Collaborative Governance: Evidence-Informed Participatory Model by Ravinithesh Annapureddy, March 05, 2024

Configuration Space Distance Fields for Manipulation by Planning Xuemin Chi, February 20, 2024

Assessing emotion in monologue students' speech by Bogdan Vlasenko, February 13, 2024

Generalization of radiomics features in ever-changing acquisition setups by Oscar Jimenez (Biosignal Processing), February 06, 2024

Asimov, robots and our environment by Pierre-Brice Wieber, February 01, 2024

Segmenting the Unknown - Ambiguous Prediction using Discrete Diffusion models with conditionning by Evann Courdier, January 30, 2024

Conversational Speech Translation and Recognition... and a bit about Colombia by Juan Zuluaga, January 23, 2024

Recent developments in the theory of modern machine learning by David Belius, January 23, 2024

Synthetic Data, the New Holy Grail? by Christophe Ecabert, January 16, 2024

Deep Surface Meshes by Pascal Fua, December 12, 2023

Syllabic insights: from neurocomputational models of speech perception to Parkinson's disease and speech pathology detection by Sevada HOVSEPYAN, November 28, 2023

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life by Lakmal Meegahapola, November 21, 2023

From Pixels to Ballot: Graph-Based Mixing Matrix Estimation for Voting Transfers by Yacouba Kaloga, November 14, 2023

Robot Learning using Tensor Networks: Team Sylvain Calinon Suhan Shetty, November 07, 2023

Predicting storytelling from behavioural interviews : STeADI by Amina Rufai, October 31, 2023

Act4Autism: Action detect by Abid Ali, October 24, 2023

Distinguished Talks

Idiap regularly welcomes national and international speakers

2025

Distinguished Talks 2025 to be announced!

2024

Parallel Split Learning for Wireless Networks

Yue Gao, Fudan University, China, October 11, 2024

Abstract: For wireless networks, edge intelligence is hindered from revolutionising how smartphones and base stations process and analyse data by bringing AI capabilities closer to the source of data generation. Split Learning (SL) will be introduced in this talk. This new distributed deep learning paradigm enables resource-constrained devices to offload substantial training workloads to edge servers via layer-wise model partitioning. By resorting to parallel training across multiple devices, SL addresses the latency and bandwidth challenges of traditional centralised and federated learning, ensuring efficient and privacy-preserving data processing at the edge of wireless networks. I will present our recent work on Efficient Parallel Split Learning (EPSL), designed to overcome the limitations of existing parallel split learning schemes. EPSL enhances model training efficiency by parallelising client-side computations and aggregating last-layer gradients, reducing server-side training and communication overhead.

Bio: Yue Gao is a Chair Professor at the School of Computer Science and Dean of the Institute of Space Internet at Fudan University, China. He is a Fellow of the IEEE, the IET and CIC. He received his MSc and PhD from the Queen Mary University of London (QMUL) U.K. in 2003 and 2007. He has worked as a lecturer, senior lecturer, reader, and professor at QMUL and the University of Surrey. His research interests include satellite internet and AI-powered networks. He was a co-recipient of the EU Horizon Prize Award on Collaborative Spectrum Sharing in 2016 and elected an Engineering and Physical Sciences Research Council Fellow in 2017. He is a member of the Board of Governors and Distinguished Lecturer of the IEEE Vehicular Technology Society (VTS), Chair of the IEEE ComSoc Wireless Communication Technical Committee, and past Chair of the IEEE ComSoc Technical Committee on Cognitive Networks.

Distinguished Talks

2025

Distinguished Talks 2025 to be announced!

2024

Parallel Split Learning for Wireless Networks

Yue Gao, Fudan University, China, October 11, 2024

More (abstract & bio)

Abstract: For wireless networks, edge intelligence is hindered from revolutionising how smartphones and base stations process and analyse data by bringing AI capabilities closer to the source of data generation. Split Learning (SL) will be introduced in this talk. This new distributed deep learning paradigm enables resource-constrained devices to offload substantial training workloads to edge servers via layer-wise model partitioning. By resorting to parallel training across multiple devices, SL addresses the latency and bandwidth challenges of traditional centralised and federated learning, ensuring efficient and privacy-preserving data processing at the edge of wireless networks. I will present our recent work on Efficient Parallel Split Learning (EPSL), designed to overcome the limitations of existing parallel split learning schemes. EPSL enhances model training efficiency by parallelising client-side computations and aggregating last-layer gradients, reducing server-side training and communication overhead.

Bio: Yue Gao is a Chair Professor at the School of Computer Science and Dean of the Institute of Space Internet at Fudan University, China. He is a Fellow of the IEEE, the IET and CIC. He received his MSc and PhD from the Queen Mary University of London (QMUL) U.K. in 2003 and 2007. He has worked as a lecturer, senior lecturer, reader, and professor at QMUL and the University of Surrey. His research interests include satellite internet and AI-powered networks. He was a co-recipient of the EU Horizon Prize Award on Collaborative Spectrum Sharing in 2016 and elected an Engineering and Physical Sciences Research Council Fellow in 2017. He is a member of the Board of Governors and Distinguished Lecturer of the IEEE Vehicular Technology Society (VTS), Chair of the IEEE ComSoc Wireless Communication Technical Committee, and past Chair of the IEEE ComSoc Technical Committee on Cognitive Networks.