 
                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...