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SUMMARY:Scaling Laws and Spectra of Shallow Neural Networks in the Feature
 -Learning Regime
DTSTART;VALUE=DATE-TIME:20260416T210000Z
DTEND;VALUE=DATE-TIME:20260416T213000Z
DTSTAMP;VALUE=DATE-TIME:20260410T182107Z
UID:indico-contribution-95-358@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Bruno Loureiro (ENS Paris)\nNeural scaling laws unde
 rlie many of the recent advances in deep learning\, yet their theoretical 
 understanding remains largely confined to linear models. In this work\, we
  present a systematic analysis of scaling laws for quadratic and diagonal 
 neural networks in the feature learning regime. Leveraging connections wit
 h matrix compressed sensing and LASSO\, we derive a detailed phase diagram
  for the scaling exponents of the excess risk as a function of sample comp
 lexity and weight decay. This analysis uncovers crossovers between distinc
 t scaling regimes and plateau behaviours\, mirroring phenomena widely repo
 rted in the empirical neural scaling literature. Furthermore\, we establis
 h a precise link between these regimes and the spectral properties of the 
 trained network weights\, which we characterize in detail. Consequently\, 
 we provide a theoretical validation of recent empirical observations conne
 cting the emergence of power-law tails in the weight spectrum with network
  generalization performance\, yielding an interpretation from first princi
 ples.\n\nhttps://arxiv.org/abs/2509.24882\n\nhttps://fisindico.uniandes.ed
 u.co/event/23/contributions/358/
LOCATION:Universidad de los Andes ML-513
URL:https://fisindico.uniandes.edu.co/event/23/contributions/358/
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BEGIN:VEVENT
SUMMARY:Wetting by active fluids
DTSTART;VALUE=DATE-TIME:20260417T190000Z
DTEND;VALUE=DATE-TIME:20260417T192000Z
DTSTAMP;VALUE=DATE-TIME:20260410T182107Z
UID:indico-contribution-95-352@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Frédéric van Wijland ()\nIn equilibrium fluids\, w
 etting is controlled by the competition of three surface tensions between 
 the three phases (liquid\, gas\, solid). When the particles comprising the
  fluid become self-propelled\, the question of wetting begins with a prope
 r definition of surface tension (which may not be unique out of equilibriu
 m). I will present a robust mechanics-based definition for surface tension
 . I will use this definition to explore the properties of a droplet at con
 tact with a solid. It will appear that the angle of contact of an active d
 roplet is no more governed by the Young-Dupré equation.\n\nWith Y. Zhao\,
  J. Tailleur\, A. Daerr\, R. Zakine\, Y. Kafri\n\nhttps://fisindico.uniand
 es.edu.co/event/23/contributions/352/
LOCATION:
URL:https://fisindico.uniandes.edu.co/event/23/contributions/352/
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SUMMARY:Active Quantum Particles from Engineered Dissipation
DTSTART;VALUE=DATE-TIME:20260416T190000Z
DTEND;VALUE=DATE-TIME:20260416T192000Z
DTSTAMP;VALUE=DATE-TIME:20260410T182107Z
UID:indico-contribution-95-351@fisindico.uniandes.edu.co
DESCRIPTION:Speakers: Leticia F. Cugliandolo (Sorbonne Université\, Paris
 )\nWhile the physics of classical active particles—such as bacteria\,\ns
 ynthetic Janus colloids\, and bird flocks—is well-established via models
  like Active Brownian Motion (ABM)\, the extension of these principles to 
 the quantum regime has only recently gained traction. This talk will first
  review the fundamental principles of classical self-propulsion\, highligh
 ting unique features of individual particle dynamics. We will then transit
 ion to new frameworks for Quantum Active Matter from Engineered Dissipatio
 n\, presenting three specific models and demonstrating that they all recov
 er the hallmark features of active motion.\n\nTalk based on the preprint w
 ith the same title\, by\nJeanne Gipouloux\, Matteo Brunelli\, Leticia Cugl
 iandolo\, Rosario Fazio\, Marco Schirò\narXiv:2603.19094\nhttps://arxiv.o
 rg/abs/2603.19094\n\nhttps://fisindico.uniandes.edu.co/event/23/contributi
 ons/351/
LOCATION:Universidad de los Andes ML-513
URL:https://fisindico.uniandes.edu.co/event/23/contributions/351/
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