Alfio Quarteroni
Politecnico di Milano
MaLGa Lecture: La matematica fra modelli fisici e intelligenza artificiale
26/05/2023
Seminars
Upcoming
Past
-
Alexander (Sasha) RakhlinMassachusetts Institute of Technology
The Statistical Complexity of Interactive Decision Making
22/05/2023 -
Pierre-Cyril Aubin-FrankowskiINRIA Paris (Sierra)
Revisiting optimization: gradient descent with a general cost
12/05/2023 -
Benjamin RechtUniversity of California, Berkeley
Cancer Screening: A Parable of Prediction
09/05/2023 -
Andrea AgazziUniversità di Pisa
Convergence and optimality of wide RNNs in the mean-field regime
03/05/2023 -
Nelly PustelnikCNRS, ENS de Lyon
MaLGa Colloquia - Fast unrolled proximal algorithms to design stable and efficient neural network architectures
17/04/2023 -
Sayan MukherjeeMPI Leipzig
MaLGa Colloquia - Modeling shapes and surfaces: geometry meets machine learning
03/04/2023 -
Vitaly FeldmanApple ML Research
What Neural Networks Memorize and Why
24/03/2023 -
Lamberto BallanUniversity of Padova
MaLGa Colloquia - Context-aware motion prediction and embodied social navigation
20/03/2023 -
Rodrigue LelotteUniversité Paris-Dauphine
A numerical scheme to solve the multimarginal optimal transport with Coulomb cost
09/03/2023 -
Peter DayanMPI Tübingen
MaLGa Colloquia - Risk, Replay and Rehearsal (Remote)
06/03/2023 -
Minh Ha QuangRIKEN Center for Advanced Intelligence Project (AIP)
Regularized information geometric and optimal transport distances for Gaussian processes
03/03/2023 -
Antonio CelaniICTP
MaLGa Colloquia - The uses of memory in olfactory search
20/02/2023 -
Andrea ApicellaUniversità di Napoli Federico II
Possible directions to deal with EEG data with machine learning
19/12/2022 -
Elena BerettaNew York University Abu Dhabi
Mortality containment vs. economics opening: optimal policies in a SEIARD model
18/07/2022 -
Tatiana BubbaUniversity of Bath
Learning a microlocal prior for limited angle tomography
27/06/2022 -
Emanuele NaldiTU Braunschweig
Graph and distributed extensions of the Douglas- Rachford method
14/06/2022 -
Matteo BianchiCentro E. Piaggio, Università di Pisa
Model-based and data-driven approaches for modelling human sensory-motor system:
06/06/2022 -
Johannes MalyCatholic University of Eichstaett-Ingolstadt
The implicit bias of gradient descent and its applications
30/05/2022 -
Johannes HertrichTU Berlin
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint
09/05/2022 -
Edouard PauwelsToulouse 3 Paul Sabatier
Nonsmooth implicit differentiation for optimization
02/05/2022 -
Michael UnserEPFL
The Radon transform, neural networks and splines
21/04/2022 -
Patrizio FrosiniUniversità di Bologna
Results on the use of group equivariant non-expansive operators
11/04/2022 -
Claudio BartocciUniversità di Genova
Quiver representations and neural networks
28/03/2022 -
Stefano FavaroUniversità di Torino - Collegio Carlo Alberto
Learning-augmented count-min sketches via Bayesian nonparametrics
21/03/2022 -
Donatello ConteUniversité de Tours
Structural Pattern Recognition meets Computer Vision
28/02/2022 -
Alberto SorrentinoUniversità di Genova
Brain imaging with magneto/electro-encephalography
07/02/2022 -
Tomaso PoggioMIT
Thoughts on today's learning theory - Tomaso Poggio
04/02/2022 -
Andrea ManzoniPolitecnico di Milano
Deep learning based reduced order models for numerical approximation of PDEs
24/01/2022 -
Gül VarolÉcole des Ponts ParisTech
Beyond Action Recognition: Detailed Video Modeling
03/12/2021 -
Marcello CarioniUniversity of Cambridge
Sparsity and convergence analysis of generalized conditional gradient methods
24/11/2021 -
He NiaoETH Zurich
Three common reinforcement learning tricks: when and why do they work
24/11/2021 -
Stefano MerlerFondazione Bruno Kessler
COVID-19: modelli e indicatori per provvedimenti di sanità pubblica
15/11/2021 -
Felix LuckaCentrum Wiskunde & Informatica (Amsterdam)
Deep Learning in Computational Imaging
08/11/2021 -
Massimo VergassolaCNRS
Reinforcement Learning for Animal Behavior
25/10/2021 -
Claire VernadeDeepMind (UK)
Non-Stationary Delayed Bandits with Intermediate Observations
18/10/2021 -
Massimo FornasierTechnical University of Munich
Three Mathematical Tales of Machine Learning
04/10/2021 -
Federico RoncalloTrax Retail
Computer Vision to Digitalise the Retail: Pipelines, Infrastructure & Open Problems.
22/06/2021 -
Simone BiancoIBM
Computational Cellular Engineering
01/06/2021 -
Gabriele SteidlTU Berlin
Proximal and Invertible Neural Networks
25/05/2021 -
Domenico MarinucciUniversity of Rome Tor Vergata
Critical Points, Multiple Testing and Point Source Detection for Cosmological Data
11/05/2021 -
Elena NicoraDIBRIS, University of Genoa
On the use of 3D Gray Code Kernels for motion-related tasks in videos
27/04/2021 -
Giorgia LodiSTLab - 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 OrabonaBoston University
Parameter-free Stochastic Optimization of Variationally Coherent Functions
13/04/2021 -
Luca GarelloDIBRIS, Università di Genova e Istituto Italiano di Tecnologia
Towards imitation learning in robotics
30/03/2021 -
Giulia LuiseImperial College
Regularity Properties of Entropical Optimal Transport
16/03/2021 -
Giulia LuiseImperial College
Regularity properties of Entropic Optimal Transport in applications to machine learning
16/03/2021 -
Alberto BiettiNew York University
Foundations of deep convolutional models through kernel methods
16/02/2021 -
Francesco LocatelloAmazon
Towards Causal Representation Learning
02/02/2021 -
Andrea AspriThe Johann Radon Institute for Computational and Applied Mathematics
Data Driven Regularization
15/12/2020 -
Junhwa HurFormer Ph.D Student at TU-Darmstadt
Self-supervised learning of depth and motion from monocular images
01/12/2020 -
Lénaïc ChizatLaboratoire de mathématiques d'Orsay at Université Paris-Saclay
Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks
17/11/2020 -
Francesca BartolucciETH Zürich
Phase Retrieval of Bandlimited Functions for the Wavelet Transform
10/11/2020 -
Alessandra SciuttiIIT
Cognitive robotics for collaboration
03/11/2020 -
Ivan Salvatore TrapassoDIMA, Università di Genova
Dispersion, spreading and sparsity of Gabor wave packets
27/10/2020 -
Luca RattiUniversity of Helsinki
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography
14/07/2020 -
Davide MoltisantiNanyang Technological University, Singapore
Labelling actions in videos
30/06/2020 -
Julien MairalINRIA Grenoble
On the Happy Marriage of Kernel Methods and Deep Learning
23/06/2020 -
Ángel ArroyoUniversità di Genova
Nonlinear Mean Value Properties and PDE's
09/06/2020 -
Vito Paolo PastoreUniversità di Genova
Machine Learning for Cellular Biosensing
26/05/2020 -
Tatiana BubbaUniversity of Helsinki
Learning the Invisible: Limited Angle Tomography, Shearlets and Deep Learning
19/05/2020 -
Federico TombariTechnische Universität München
3D scene and object understanding in the era of deep learning
05/05/2020 -
Matteo MontiDIMA, Università di Genova
Unitarization of the Radon transform on homogeneous trees
28/04/2020 -
Gian Maria MarconiDIBRIS, Università di Genova
Manifold Structured Prediction: Theory and applications
07/04/2020 -
Matteo MoroDIBRIS, Università di Genova
Markerless gait analysis in stroke survivors based on computer vision and deep learning: a pilot study
31/03/2020 -
Hans G. FeichtingerInstitute of Mathematics, University of Vienna
The Banach Gelfand Triple and Fourier Standard Spaces
24/02/2020 -
Simone di MarinoDIMA, Università di Genova
Duality for the Entropic Optimal Transport Problem and Applications
18/02/2020 -
Karin SchnassUniversität Innsbruck
A Peek at the Landscape of Dictionary Learning
11/02/2020 -
Andreas KrauseETH Zürich
Towards Safe Reinforcement Learning
04/02/2020 -
Paolo NapoletanoUniversita' degli Studi di Milano-Bicocca
Multi-Modal Sensors for Human Behavior Monitoring
28/01/2020 -
Carl Heinrik EkUniversity of Bristol
Monotonic Gaussian process flow
16/01/2020 -
Mauro MaggioniJohns Hopkins University
Learning Interaction laws in particle- and agent-based systems
17/12/2019 -
Andreas Maurer
Uniform estimation of nonlinear statistics
03/12/2019 -
Luca CalatroniI3S 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 BarbieriUniversidad Autónoma de Madrid
Optimal data approximation with group invariances
14/10/2019 -
Marta BetckeUniversity College London
Curvelet frame and photoacoustic reconstruction
08/10/2019 -
Alexandre GramfortINRIA Saclay Research Center and CEA Neurospin
Statistical Machine Learning and Optimisation Challenges for Brain Imaging at a Millisecond Timescale
16/09/2019 -
Dong Hye YeMarquette University
Machine Learning for Image Processing
22/07/2019 -
John DuchiStanford University
Stay positive! The importance of better models in stochastic optimization
18/07/2019 -
Marco GoriUniversity of Siena
The Principle of Least Cognitive Action
11/07/2019 -
Swaraj PaulIndian Institute of Technology Indore
Resolution of Sobolev wavefront set and sparse representation of singular integral operator using shearlets
21/06/2019 -
Matteo RizziFacultad de Ciencias Físicas y Matemáticas, Universidad de Chile
The relation between the Cahn-Hilliard equation and CMC surfaces
17/06/2019 -
Guillaume GarrigosUniversité de Paris
Optimization in inverse problems via inertial iterative regularization
22/05/2019 -
Thomas PockGraz University of Technology
Learning with discrete MAP-inference models for stereo and motion
16/05/2019 -
Elisa RicciUniversity 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 ScardapaneSapienza University of Rome
Designing non-parametric activation functions: recent advances
17/04/2019 -
Matteo SantacesariaUniversity of Genoa
Electrical impedance tomography and Calderon's inverse problem: a review
16/04/2019 -
Cristophe GiraudParis-Sud University
Pair-matching and sequential learning of communities
09/04/2019 -
Giulio CiraoloPalermo University
On the shape of hypersurfaces with almost constant mean curvature
02/04/2019 -
Luca RondiUniversity of Milan
Multiscale decompositions in imaging and inverse problems
26/03/2019 -
Giuseppe SavarèUniversity of Pavia
Optimal transport and gradient flows
20/03/2019 -
Zied MnasriDIBRIS
Overview on speech processing: fundamentals, techniques and applications
19/02/2019 -
Andrea TacchettiDeep Mind
The multi-agent approach to artificial general intelligence
18/02/2019 -
Riccardo ZecchinaBocconi University
On the Existence and on the Role of Wide Flat Minima in Deep Learning
05/02/2019
