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The Series Finale of Online Education: Coursera Acquires Udemy

$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.

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Stochastic Depth for Neural Networks - Implementation and Analysis

Explore stochastic depth in neural networks: a regularization method for residual networks that enhances training speed and test performance. Includes methodology explanation and PyTorch implementation.
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Centre International de Rencontres Mathématiques
Systematic Jump Risk in Stochastic Analysis - Lecture

Explore systematic jump risk in stochastic analysis with Jean Jacod's insightful conference talk on advanced mathematical concepts and applications.
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Explore deep learning for option pricing and calibration, including neural network perspectives, rough volatility, and model recognition in financial mathematics.
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A Geometric View on Stochastic Euler Equations

Explore geometric approaches to stochastic Euler equations, combining infinite-dimensional geometry and stochastic analysis to establish local well-posedness of non-linear PDEs.
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Regularization by Noise for the Stochastic Transport Equation

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Formal Verification of Embedded Linux Systems Using Trace-Based Models

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High Mode Transport Noise Improves Vorticity Blow Up Control in 3D

Explores regularizing effects of transport noise on 3D Navier-Stokes equations, demonstrating improved vorticity control and well-posedness under specific noise conditions.
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Directed Mean Curvature Flow in Noisy Environment

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Rough Paths for Physicists - Course 2: Rough Paths, Combinatorics and Regularity

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Rough Paths for Physicists - Motivations, Sewing Lemma, and Young Integrals - Lecture 1

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Thoughts on Regularity Structures

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Mean Field Results in Fluid Mechanics - Lecture 3

Explore advanced mean field techniques in fluid mechanics, focusing on stochastic and deterministic analysis for irregular models in mathematics.
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Mean Field Results in Fluid Mechanics - Lecture 2

Explore advanced mean field techniques in fluid mechanics, focusing on stochastic and deterministic analysis for irregular models in mathematics.
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Wasserstein Convergence of Penalized Markov Processes

Explore Wasserstein convergence of penalized Markov processes in this mathematical conference talk by Nicolas Champagnat, delving into stochastic analysis and numerical probability.
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Construction of Boltzmann and McKean Vlasov Type Flows - The Sewing Lemma Approach

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