High-Dimensional Asymptotics of Differentially Private PCA
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Uncovering EEG Patterns Consistently Associated with Cybersickness Discomfort Using Deep Learning Interpretability Maps
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Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning
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Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design
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Scalar Federated Learning for Linear Quadratic Regulator
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Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent
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Gradient Descent's Last Iterate is Often (slightly) Suboptimal
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Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions
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Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validation
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Stimulus symmetries can confound representational similarity analyses
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