Randomized Linear Algebra
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 15 to 18 June 2026. Randomized linear algebra is arguably among the most exciting developments in computational mathematics, sometimes making possible computations of unprecedented scale. There are currently several important developments in randomized linear algebra, including those in low-rank approximation or the […]
Peering through behavior into the brain
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 08 to 12 June 2026. The objective of this workshop is to bring together scientists from around the world to explore how behavior, especially in small animals, can be used to infer underlying brain functionality. Designed for theorists and experimentalists, […]
Numerical methods for random differential models summer school, NUMRAD26
The summer school, to be held from 02 to 05 June 2026, will cover both introductory and advanced topics on numerical methods in the following areas: high-dimensional approximation, Gaussian processes, reduced order modeling for scientific machine learning, and mathematical finance. The school is addressed to young mathematicians (PhD students, early postdoc researchers, and highly motivated […]
Detection and Emergence of Complexity: ALIFE Perspectives
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 27 to 29 May 2026. An abundance of systems has been studied as potential models of artificial life: from classical discrete cellular automata to their randomized versions such as random Boolean networks, continuous systems including neural CAs or Lenia systems, […]
Observers, wormholes and complex saddles in cosmology
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 18 to 22 May 2026. We will explore the following open questions in theoretical cosmology, related to the quantisation of gravity: How does one describe gauge-invariant observables in quantum gravity that resemble measurements carried out by an observer residing in […]
Fundamental principles of learning and representation: from Brains to LLMs
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 11 to 13 May 2026. Today, the progress of AI capabilities far outpaces Moore’s law. More concerningly, it also exceeds the pace at which we understand how these systems learn, reason, and their reliability. AI is rapidly permeating many facets […]
Intersection of quantum learning theory, quantum sensing and quantum verification
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 27 April to 01 May 2026. This workshop brings together the communities of quantum learning theory, quantum sensing, and quantum verification to explore their shared challenges and opportunities. While each field has made significant independent progress, interaction between them has […]
LémanTh3 – Lausanne event on Machine : Learning & Neural Network Theory
This one-week workshop aims to bring together leading researchers working at the interface of machine learning, probability, high-dimensional statistics, statistical physics and theoretical computer science, with a particular emphasis on the mathematical and theoretical foundations of modern neural networks. It is part of the Bernoulli Center programme at EPFL, to be held from 20 to […]
Geometry and Spectra of Compact Riemann Surfaces
This workshop is part of the Bernoulli Center programme at EPFL, to be held from 15 to 17 April 2026. A conference in geometric and spectral geometry, in honor of Peter Buser. The pioneering work of Peter Buser has played an important role in the understanding of hyperbolic surfaces, their spectra and their moduli spaces. […]
Celebrating Probability and Stochastics
This three-day workshop in probability theory and stochastics celebrates the mathematics, contributions and service of EPFL Professors Robert Dalang and Thomas Mountford on their retirements. All are warmly invited to join this festive event in honour of their achievements.
