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Explore singularities in Teichmueller harmonic map flow, covering gradient flow, conformity, symmetries, and rescaled flow behavior in this advanced mathematical analysis.
Explore neural models' impact on speech and language processing, examining successes, challenges, and key architectures in parsing, word embeddings, and transformers.
Explore reproducibility, reusability, and robustness in reinforcement learning. Delve into policy gradient methods, hyperparameter interplay, fair comparisons, and real-world applications of RL algorithms.
Explore deep learning's scientific foundations with Yann LeCun, examining its biological inspirations, historical development, and theoretical underpinnings in pattern recognition and neural networks.
Exploration of concerning trends in machine learning research, examining the balance between empirical and theoretical approaches, and discussing potential solutions for improving scientific rigor.
Explore deep learning's scientific foundations and the "Alchemy" debate, examining optimization, overfitting, and the interpreter problem in neural networks.
Explore elliptic measures and domain geometry with Zihui Zhao. Learn about harmonic measures, uniform domains, and the Piper theorem in this advanced mathematical analysis seminar.
Explore Drinfeld's lemma for schemes with Kiran Kedlaya, covering fundamental groups, base points, and the Stax project in algebraic geometry.
Explore advanced geometric concepts in hyperbolic 3-manifolds, focusing on renormalized volume bounds, mean curvature, and variation formulas through rigorous mathematical analysis.
Explore the information paradox in empty space through a toy model, examining quantum correlations, Bell inequalities, and their implications for gravity and spacetime structure.
Explore area-preserving annulus diffeomorphisms, focusing on mean action of periodic orbits. Delve into action functions, Colombian variants, and Hutchings theorem in symplectic dynamics.
Explore Lyapunov exponents in random perturbations of hyperbolic 2D volume-preserving diffeomorphisms, including the Standard Map, with insights on asymptotic dynamics and invariant structures.
Explore X-Ramanujan graphs with Ryan O'Donnell, covering additive lifts, generic graphs, eigenvalues, and matching polynomials in this advanced computer science and discrete mathematics seminar.
Explore 2-universality in random graphs, covering monotone properties, age universality, probability thresholds, and expansion properties with proof techniques and examples.
Explore scalar curvature concepts, spin bundles, and rich curves with renowned mathematician Mikhail Gromov in this advanced topology lecture from the Institute for Advanced Study.
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