Fields- Fourth Symposium on Machine Learning and Dynamical Systems
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Title: Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
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Title: Ergodic Basis Pursuit induces robust sparse network reconstruction
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Title: Continuum Attention for Neural Operators
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Title: Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
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Title: Discovering dynamics and parameters of nonlinear systems from partial observations
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Title: Dynamical systems in deep generative modelling
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Title: Phase Transition Theory fo the Score Degradation of Machine Learning Models
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Title: A dynamical systems perspective on measure transport and generative modeling
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Title: Non-Euclidean Generative Modeling
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Title: Avoidance of traps for nonconvex stochastic optimization and equilibrium learning in games
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Title: Non-smooth dynamics and machine learning
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Title: Exploring Cancer Progression: From Static Imaging Data to System Dynamics
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Title: Detecting non-trivial cycles of point clouds and time series data on manifolds
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Title: Differentiable Programming for Data-driven Modeling, Optimization, and Control
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Title: Learning Coarse-Grained Dynamics on Graph
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Title: Learning and Dynamical Systems: Perspectives from Optimization, Control, and Robotics
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Title: Provable Posterior Sampling with Score-Based Diffusion through Tilted Transport
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Title: Learning Port Hamiltonian structures using PINNs type architecture
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Title: Operator Learning Without the Adjoint
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Title: Should we Derive or Let the Data Drive? Symbiotizing Data-driven Learning and Knowledge-based Reasoning for Principled Symbolic Discovery
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