Know When You Know: Handling Adversarial Data by Abstaining
Explore sequential prediction in stochastic settings with adversarial interference. Learn strategies for handling distribution shifts and making confident predictions while abstaining from uncertain cases.
Stochastic Quantisation of Yang-Mills
Dive into stochastic processes and Yang-Mills theory with Martin Hairer's talk on building a process admitting the 3D Yang-Mills measure as its invariant measure, exploring gauge-covariance and UV regularization.
Integral Means Spectrum: Examples of Exact Computation
Explore the multifractal spectrum of harmonic measure and integral-means spectrum of Riemann maps through explicit computations in deterministic and random cases.
TASEP in Half-Space: Modeling and Analysis of Particle Systems
Dive into the intricacies of TASEP in Half-space with Xincheng Zhang's insightful seminar, exploring advanced concepts in probability theory and statistical mechanics.
Markov Chain
Comprehensive exploration of Markov chains, covering transition diagrams, steady states, regular and absorbing chains, with applied problems and limiting matrices.
Macroscopic Models of Epidemic Dynamics - Week 6
Explore macroscopic epidemic models, transitioning from stochastic to deterministic approaches. Learn about SIR models, continuous-time dynamics, and differential equations in epidemiology.
Meta-Learning - Why It’s Hard and What We Can Do - Ke Li
Explore meta-learning challenges and solutions with Ke Li, covering optimization, model selection, and program induction in this theoretical machine learning seminar.
Neural SDEs - Deep Generative Models in the Diffusion Limit - Maxim Raginsky
Explore deep generative models through stochastic control, diffusion limits, and neural nets. Learn about efficient sampling, expressiveness quantification, and unbiased simulation techniques.
A Moment-Based Approach for the Analysis of the Infinitesimal Model
Explore a moment-based approach for analyzing the infinitesimal model in non-local branching processes with mathematician Sepideh Mirrahimi.
Mean Field Games: Well-posedness, Singularities and Beyond
Explore mean field games, their well-posedness, singularities, and advanced concepts with renowned mathematician Pierre-Louis Lions from Collège de France.
Some Considerations About Social Dynamics Models
Découvrez les modèles de dynamique sociale à travers le parcours d'une mathématicienne spécialiste des équations aux dérivées partielles. Explorez les systèmes de particules en interaction et les systèmes sur graphes.
Cartes Aléatoires - Entre Croissance et Fragmentation
Explorez les liens fascinants entre cartes aléatoires et processus de croissance-fragmentation dans cette conférence captivante sur les surfaces aléatoires et la dynamique des particules.
BMS and All That - Lecture 2
Explore advanced concepts in BMS theory and related mathematical topics through an in-depth lecture by C Heissenberg, expanding on previous discussions.
Remise du Prix Langevin et Exposé - IPhT60
Découvrez les avancées en physique théorique lors de la remise du Prix Langevin, avec un exposé captivant de Kirone Mallick sur les dernières recherches du domaine.
Problems in Network Archaeology: Root Finding and Broadcasting
Explore network archaeology: root finding and broadcasting in dynamically growing networks. Discover how information from early stages persists in gigantic networks, presented by Gábor Lugosi.
Cadeia de Markov - Aula 18
Aprofunde-se na teoria de Cadeias de Markov com foco em conceitos avançados e aplicações em pesquisas recentes. Explore tópicos selecionados e amplie seu conhecimento matemático.
Cadeia de Markov - Aula 17
Explore conceitos avançados de Cadeias de Markov em nível de mestrado, aprofundando-se na teoria e aplicações recentes deste importante tópico em probabilidade e estatística.
Cadeia de Markov - Aula 16
Aprofunde-se na teoria de Cadeias de Markov com foco em conceitos avançados e aplicações em pesquisas recentes. Explore tópicos selecionados e amplie seu conhecimento matemático.
Cadeia de Markov - Aula 09
Aprofunde-se na teoria de Cadeias de Markov com foco em conceitos avançados e aplicações em pesquisas recentes. Explore tópicos selecionados e amplie seu conhecimento matemático.
Cadeia de Markov - Aula 08
Aprofunde-se na teoria de Cadeias de Markov com foco em conceitos avançados e aplicações em pesquisas recentes. Explore tópicos selecionados e amplie seu conhecimento matemático.
Cadeia de Markov - Aula 07
Aprofunde-se na teoria de Cadeias de Markov com foco em conceitos avançados e aplicações em pesquisas recentes. Explore tópicos selecionados e amplie seu conhecimento matemático.