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 - Giulia LuiseImperial College
Regularity Properties of Entropical Optimal Transport
16/03/2021
