
Seminário Matemática, Física & Aprendizagem Automática – Simon S. Du
“Provable Representation Learning” - 17h...
“Provable Representation Learning” - 17h...
“Contact three-manifolds with exactly two simple Reeb orbits”. - 17h...
“On stratifications and moduli” - 17h...
“Distributed ML: Optimal algorithms for distributed stochastic non-convex optimization” - 14h...
“Kaehler geometry of quiver moduli in application to machine learning” - 17h...
“Concentrating Majorana fermions” - 17h...
“Deep neural networks have an inbuilt Occam's razor” - 14h...
“Bott canonical basis?” - 17h...
“Quantum Critical Points and the Sign Problem” - 17h...
“The essential minimal volume of manifolds” - 17h...
“On tensor network representations of the (3+1)d toric code” - 17h...
“On the geometric P=W conjecture” - 17h...
“Topology of mixed states.” - 17h...
“Computational Imaging: Reconciling Physical and Learned Models” - 14h...
“Efficient and Modular Implicit Differentiation” - 14h...
“Policy Optimization in Reinforcement Learning: A Tale of Preconditioning and Regularization” - 14h...
“Systolic questions in metric and symplectic geometry” - 17h...
“Higher Fano Manifolds” - 17h...