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Coursera Announces Layoffs, Stock Plunges Despite $100M Milestone

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Avoiding the General Position Condition When Computing the Topology of a Real Algebraic Plane Curve

Explore advanced techniques for computing real algebraic plane curve topology without relying on general position assumptions. Gain insights into innovative mathematical approaches.
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Gauge Transformations in Stochastic Geometric Mechanics

Explore gauge transformations in stochastic geometric mechanics, delving into advanced mathematical concepts and their applications in physics.
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Couplings of Brownian Motions on SU2 and C

Explore couplings of Brownian motions on SU2 and C, delving into advanced mathematical concepts and their applications in stochastic processes.
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The Total Variation Wasserstein Problem - A New Derivation of the Euler-Lagrange Equations

Explore a novel derivation of Euler-Lagrange equations for the Total Variation Wasserstein problem, advancing understanding in mathematical optimization and transport theory.
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Towards Full Galilei General Relativity: Bargmann-Minkowski and Bargmann-Galilei Spacetimes

Explore Galilei general relativity, examining Bargmann-Minkowski and Bargmann-Galilei spacetimes for a deeper understanding of relativistic physics concepts.
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Lie Group Quaternion Attitude Reconstruction of Quadrotor UAV

Explore quaternion-based attitude reconstruction for quadrotor UAVs using Lie group theory, enhancing control and navigation capabilities.
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Generalized Galilean Geometries

Explore Generalized Galilean Geometries, expanding mathematical understanding beyond traditional frameworks. Gain insights into advanced geometric concepts and their applications.
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Geometric Modelling of Micro-Structured Material

Explore advanced techniques for geometric modeling of micro-structured materials, enhancing understanding of complex material properties and behaviors.
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A Variational Principle of Minimum for Navier-Stokes Equation Based on the Symplectic Formalism

Explore a variational principle of minimum for Navier-Stokes equations using symplectic formalism, advancing understanding of fluid dynamics and mathematical physics.
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Cold Starting of Reservoir Systems in the Forecasting of Dynamical Systems

Explore cold starting techniques for reservoir systems to enhance dynamical system forecasting. Gain insights into advanced prediction methods.
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Expressiveness and Structure Preservation in Learning Port Hamiltonian Systems

Explore advanced techniques for learning Port Hamiltonian systems, focusing on expressiveness and structure preservation in dynamic modeling and control applications.
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Learning Lagrangian Fluid Mechanics with E3 Equivariant Graph Neural Networks

Explore Lagrangian fluid mechanics using advanced E3 equivariant graph neural networks for innovative computational modeling approaches.
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Signature Estimation and Signal Recovery Using Median of Means

Explore robust signature estimation and signal recovery techniques using Median of Means, enhancing resilience in data analysis and signal processing applications.
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Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks

Explore approximation theory for linear temporal convolutional networks, examining forward and inverse approaches to enhance understanding of network behavior and capabilities.
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Variational Integrators for Stochastic Hamiltonian Systems on Lie Groups

Explore variational integrators for stochastic Hamiltonian systems on Lie groups, gaining insights into advanced mathematical concepts and their applications.
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