Conformal Prediction for Time Series with Deep Sequence Models
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Flow Matching for Fast Posterior Sampling in Bayesian Inverse Problems
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SD-DPC: Sparse Dictionary Differentiable Predictive Control
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Learning Closure of Dynamical Systems with Kernel Ridge Regression
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ENCORE: Exact Non-equilibrium COntrol with Replica Exchange for Diffusion Generation
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High-Dimensional Asymptotics and Dataset Selection for Private Transfer Learning
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A hybrid CNN-adjoint optimization framework for reconstruction of viscoelastic tissue properties in magnetic resonance elastography
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Where Quantum Fourier Sampling Stops Short: A Three-Gate Audit Protocol for Delay-PUF Security Models
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When Normalization Selects the Sign: Auditing Robustness Ablations in Quantum Attention
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Characterizing the Performance Gap in Human Activity Recognition for Older Adults
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Learning Query Encoders Can Be Hard Even When Vector Retrieval Is Geometrically Easy
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Localized Conformal Safety Monitoring with Vision-Language Models for Autonomous Driving
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