Alfio Quarteroni Politecnico di Milano MaLGa Lecture: La matematica fra modelli fisici e intelligenza artificiale 26/05/2023
Alexander (Sasha) Rakhlin Massachusetts Institute of Technology The Statistical Complexity of Interactive Decision Making 22/05/2023
Pierre-Cyril Aubin-Frankowski INRIA Paris (Sierra) Revisiting optimization: gradient descent with a general cost 12/05/2023
Benjamin Recht University of California, Berkeley Cancer Screening: A Parable of Prediction 09/05/2023
Andrea Agazzi Università di Pisa Convergence and optimality of wide RNNs in the mean-field regime 03/05/2023
Nelly Pustelnik CNRS, ENS de Lyon MaLGa Colloquia - Fast unrolled proximal algorithms to design stable and efficient neural network architectures 17/04/2023
Sayan Mukherjee MPI Leipzig MaLGa Colloquia - Modeling shapes and surfaces: geometry meets machine learning 03/04/2023
Lamberto Ballan University of Padova MaLGa Colloquia - Context-aware motion prediction and embodied social navigation 20/03/2023
Rodrigue Lelotte Université Paris-Dauphine A numerical scheme to solve the multimarginal optimal transport with Coulomb cost 09/03/2023
Minh Ha Quang RIKEN Center for Advanced Intelligence Project (AIP) Regularized information geometric and optimal transport distances for Gaussian processes 03/03/2023
Andrea Apicella Università di Napoli Federico II Possible directions to deal with EEG data with machine learning 19/12/2022
Elena Beretta New York University Abu Dhabi Mortality containment vs. economics opening: optimal policies in a SEIARD model 18/07/2022
Emanuele Naldi TU Braunschweig Graph and distributed extensions of the Douglas- Rachford method 14/06/2022
Matteo Bianchi Centro E. Piaggio, Università di Pisa Model-based and data-driven approaches for modelling human sensory-motor system: 06/06/2022
Johannes Maly Catholic University of Eichstaett-Ingolstadt The implicit bias of gradient descent and its applications 30/05/2022
Johannes Hertrich TU Berlin Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint 09/05/2022
Edouard Pauwels Toulouse 3 Paul Sabatier Nonsmooth implicit differentiation for optimization 02/05/2022
Patrizio Frosini Università di Bologna Results on the use of group equivariant non-expansive operators 11/04/2022
Stefano Favaro Università di Torino - Collegio Carlo Alberto Learning-augmented count-min sketches via Bayesian nonparametrics 21/03/2022
Alberto Sorrentino Università di Genova Brain imaging with magneto/electro-encephalography 07/02/2022
Andrea Manzoni Politecnico di Milano Deep learning based reduced order models for numerical approximation of PDEs 24/01/2022
Marcello Carioni University of Cambridge Sparsity and convergence analysis of generalized conditional gradient methods 24/11/2021
Stefano Merler Fondazione Bruno Kessler COVID-19: modelli e indicatori per provvedimenti di sanità pubblica 15/11/2021
Felix Lucka Centrum Wiskunde & Informatica (Amsterdam) Deep Learning in Computational Imaging 08/11/2021
Claire Vernade DeepMind (UK) Non-Stationary Delayed Bandits with Intermediate Observations 18/10/2021
Massimo Fornasier Technical University of Munich Three Mathematical Tales of Machine Learning 04/10/2021
Federico Roncallo Trax Retail Computer Vision to Digitalise the Retail: Pipelines, Infrastructure & Open Problems. 22/06/2021
Domenico Marinucci University of Rome Tor Vergata Critical Points, Multiple Testing and Point Source Detection for Cosmological Data 11/05/2021
Elena Nicora DIBRIS, University of Genoa On the use of 3D Gray Code Kernels for motion-related tasks in videos 27/04/2021
Giorgia Lodi STLab - Istituto di Scienze della Cognizione, CNR Meaningful data and semantic interoperability: utopia or a possible reality (in the Italian Public Sector)? 16/04/2021
Francesco Orabona Boston University Parameter-free Stochastic Optimization of Variationally Coherent Functions 13/04/2021
Luca Garello DIBRIS, Università di Genova e Istituto Italiano di Tecnologia Towards imitation learning in robotics 30/03/2021
Giulia Luise Imperial College Regularity properties of Entropic Optimal Transport in applications to machine learning 16/03/2021
Alberto Bietti New York University Foundations of deep convolutional models through kernel methods 16/02/2021
Andrea Aspri The Johann Radon Institute for Computational and Applied Mathematics Data Driven Regularization 15/12/2020
Junhwa Hur Former Ph.D Student at TU-Darmstadt Self-supervised learning of depth and motion from monocular images 01/12/2020
Lénaïc Chizat Laboratoire de mathématiques d'Orsay at Université Paris-Saclay Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks 17/11/2020
Francesca Bartolucci ETH Zürich Phase Retrieval of Bandlimited Functions for the Wavelet Transform 10/11/2020
Ivan Salvatore Trapasso DIMA, Università di Genova Dispersion, spreading and sparsity of Gabor wave packets 27/10/2020
Luca Ratti University of Helsinki Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography 14/07/2020
Tatiana Bubba University of Helsinki Learning the Invisible: Limited Angle Tomography, Shearlets and Deep Learning 19/05/2020
Federico Tombari Technische Universität München 3D scene and object understanding in the era of deep learning 05/05/2020
Matteo Monti DIMA, Università di Genova Unitarization of the Radon transform on homogeneous trees 28/04/2020
Gian Maria Marconi DIBRIS, Università di Genova Manifold Structured Prediction: Theory and applications 07/04/2020
Matteo Moro DIBRIS, Università di Genova Markerless gait analysis in stroke survivors based on computer vision and deep learning: a pilot study 31/03/2020
Hans G. Feichtinger Institute of Mathematics, University of Vienna The Banach Gelfand Triple and Fourier Standard Spaces 24/02/2020
Simone di Marino DIMA, Università di Genova Duality for the Entropic Optimal Transport Problem and Applications 18/02/2020
Paolo Napoletano Universita' degli Studi di Milano-Bicocca Multi-Modal Sensors for Human Behavior Monitoring 28/01/2020
Mauro Maggioni Johns Hopkins University Learning Interaction laws in particle- and agent-based systems 17/12/2019
Luca Calatroni I3S Laboratory, CNRS, Sophia Antipolis, France Adaptive backtracking and acceleration of a forward-backward algorithm for strongly convex optimisation: convergence results and imaging applications 29/10/2019
Davide Barbieri Universidad Autónoma de Madrid Optimal data approximation with group invariances 14/10/2019
Alexandre Gramfort INRIA Saclay Research Center and CEA Neurospin Statistical Machine Learning and Optimisation Challenges for Brain Imaging at a Millisecond Timescale 16/09/2019
John Duchi Stanford University Stay positive! The importance of better models in stochastic optimization 18/07/2019
Swaraj Paul Indian Institute of Technology Indore Resolution of Sobolev wavefront set and sparse representation of singular integral operator using shearlets 21/06/2019
Matteo Rizzi Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile The relation between the Cahn-Hilliard equation and CMC surfaces 17/06/2019
Guillaume Garrigos Université de Paris Optimization in inverse problems via inertial iterative regularization 22/05/2019
Thomas Pock Graz University of Technology Learning with discrete MAP-inference models for stereo and motion 16/05/2019
Elisa Ricci University of Trento and Fondazione Bruno Kessler, Italy Learning to Adapt: Digging Deeper into Domain Adaptation for Visual Recognition in Real-world and Dynamic Environments 10/05/2019
Simone Scardapane Sapienza University of Rome Designing non-parametric activation functions: recent advances 17/04/2019
Matteo Santacesaria University of Genoa Electrical impedance tomography and Calderon's inverse problem: a review 16/04/2019
Cristophe Giraud Paris-Sud University Pair-matching and sequential learning of communities 09/04/2019
Giulio Ciraolo Palermo University On the shape of hypersurfaces with almost constant mean curvature 02/04/2019
Zied Mnasri DIBRIS Overview on speech processing: fundamentals, techniques and applications 19/02/2019
Riccardo Zecchina Bocconi University On the Existence and on the Role of Wide Flat Minima in Deep Learning 05/02/2019