Carlo Ciliberto
University College London
Operator World-models for Reinforcement Learning
17/12/2024
Seminars
Upcoming
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Past
- Elisabetta CornacchiaINRIA Paris, Argo project-team
Insights into the Role of the Initialisation and Curriculum through Parity Targets
02/12/2024 - Fosca GiannottiScuola Normale Superiore (SNS), Pisa, Italy
MaLGa Colloquia - Towards a synergistic human-machine interaction and collaboration: XAI and Hybrid Decision Making Systems. State-of-the-art and research questions.
25/11/2024 - Scott PesmeInria Grenoble
Deep learning theory through the lens of diagonal linear networks
18/11/2024 Resilient Artificial Intelligence in Medical Imaging: Handling and Mining Multiple Sources
18/11/2024- Leonardo GalliLMU Munich
Don’t be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
15/11/2024 - Andreas Maurer
Generalization of Hamiltonian algorithms
07/11/2024 - Pietro Perona
From Computer Vision to Artificial Intelligence
28/06/2024 - Fabio RoliUniversity of Genoa
From known knowns to unknown unknowns in AI: Historical and Technical Issues
12/06/2024 - Yoav FreundUniversity of California San Diego (UCSD)
MaLGa Colloquia - Some non-parametric Results
31/05/2024 - Tom SprunckUniversity of Strasbourg (France)
Can You Hear the Shape of a Room?
15/05/2024 - Nicola Rares FrancoPolitecnico di Milano, MOX laboratory
Unveiling convolutional neural networks in surrogate modeling (and more!)
11/04/2024 - Richard NicklUniversity of Cambridge
Statistical and computational guarantees for gradient based MCMC in some PDE inverse problems
25/03/2024 - Dario TrevisanUnversity of Pisa
Gaussian Approximation and Bayesian Posterior Distribution in Random Deep Neural Networks
14/03/2024 - Gianluca GiacchiUniversity of Bologna - University of Lausanne
Time-frequency analysis and discrete representation of functions and distributions
11/03/2024 - Enis Chenchene
Convex Formulation for Total-Variation Parameter Learning
07/03/2024 - Rebecca WillettUniversity of Chicago
The role of depth in neural networks: function space geometry and learnability
04/03/2024 - Francesca BartolucciDelft Institute of Applied Mathematics (TU Delft)
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning
19/02/2024 - Fanghui LiuUniversity of Warwick
Over-parameterization in (two-layer) neural networks: double descent, function spaces, curse of dimensionality
15/02/2024 - Juan PeypouquetUniversity of Groningen
Accelerated optimization algorithms: the good, the bad and the odd
08/02/2024 - Luca BiggioEPFL - Ecole polytechnique fédérale de Lausanne
AI4Science: Opportunities and Challenges
06/02/2024 - Lucia MigliorelliUniversità Politecnica delle Marche
Towards trustworthy digital patient monitoring: deep learning approaches for analyzing multimedia data from the actual clinical practice
15/01/2024 - Tatiana TommasiPolitecnico di Torino
Open World: Generalize and Recognize Novelty
11/12/2023 - Francesco TudiscoUniversity of Edinburgh, UK
Dynamical low-rank training
06/11/2023 - Max WellingUniversity of Amsterdam
Physics Priors for Machine Learning and Machine Learning to Solve Physics
23/10/2023 - Clarice PoonUniversity of Warwick
Sparsistency guarantees for inverse optimal transport
09/10/2023 - Mathurin MassiasINRIA Lyon, Ockham Team
ML for neuroscience and reproducibility for ML: from bilevel optimization to benchopt
19/07/2023 - Florentin GuthÉcole Normale Supérieure, Paris
A rainbow in deep network black boxes
17/07/2023 - Andre WibisonoYale University
Sampling with Langevin Algorithms in Continuous and Discrete Times
26/06/2023 - Jennifer FungUniversity of California San Francisco, California
Reproduction in a Toxic World
23/06/2023 - Gitta KutyniokLudwig-Maximilians Universität München
MaLGa Colloquia - The World of Graph Neural Networks: From the Mystery of Generalization to Foundational Limitations
05/06/2023 - Alfio QuarteroniPolitecnico di Milano
MaLGa Lecture - La matematica fra modelli fisici e intelligenza artificiale
26/05/2023 - Alexander (Sasha) RakhlinMassachusetts Institute of Technology
MaLGa Colloquia - 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
MaLGa Colloquia - 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 - Alberto SorrentinoUniversità di Genova
Brain imaging with magneto/electro-encephalography
07/02/2022 - Tomaso PoggioMIT
Thoughts on today's learning theory - Tomaso Poggio #malgaseminar
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
