Fields Institute

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The Fields Institute is a centre for mathematical research activity - a place where mathematicians from Canada and abroad, from academia, business, industry ...

Latest Videos

Spinors and the geometry of positive scalar curvature

The positive mass theorem in arbitrary dimensions

Minimal surfaces and the isoperimetric inequality

Scaling Neural Networks Laws and Limits

On the behavior of approximate solutions to conservation laws near singularities.

Low-regularity Local Well-posedness of the Elastic Wave System

Extreme internal waves

Sparse Hanson-Wright inequalities with applications

Vorticity in shock reflection problems and transport equations.

Stability of discontinuous hydraulic shocks...

Are L∞ solutions to hyperbolic systems of conservation laws unique

Internal mode dynamics for the quartic Klein-Gordon equation on the line

Normality in the square of the Sorgenfrey Line

Ill-posedness and Hydrostatic Balance

Singularity Formation I

Birational Geometry of Coherent-Constructible Correspondence

Functionally countable spaces introduction and advances

Grothendieck ring of category O for shifted Yangians and the infinite Bott-Samelson variety

Ziv Goldfeld A statistical and computational theory for Gromov Wasserstein alignment

Yahong Yang Deep Neural Networks with General Activations Super Convergence in Sobolev Norms

Weigutian Ou Covering Numbers for Deep ReLU Networks

Saber Jafarpour and Alexander Davydov Non Euclidean monotone operator theory an Implicit Networks

Paul Escande On the Concentration of the Minimizers of Empirical Risks AI Theory

Neural Operators Can Discover Functional Clusters Yicen Li and Ruiyang Hong

Michael Choi Improving the convergence of Markov chains via permutations and projections

Mary Letey Asymptotic theory of in context learning by linear attention

Mario Ullrich Deep neural network analysis made easy

Laplace Meets Moreau Ryan Tishibriani

Juno Kim Transformers are Minimax Optimal Nonparametric In Context Learners

Jonathan Siegel Constructing Symmetry Preserving Neural Network Models