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arXiv:2603.07595v1 Announce Type: cross Abstract: The Eight International Conference on Applied Category Theory took place at the University of Florida on June 2-6 2025. The...
arXiv:2603.07602v1 Announce Type: cross Abstract: Many previous works in spike sorting study spike classification and compression independently. In this paper, a novel algorithm is proposed...
arXiv:2603.07654v1 Announce Type: cross Abstract: Federated Composite Optimization (FCO) has emerged as a promising framework for training models with structural constraints (e.g., sparsity) in distributed...
arXiv:2603.07666v1 Announce Type: cross Abstract: Na-ion batteries have emerged as viable candidates for large-scale energy storage applica- tions due to resource abundance and cost advantages....
arXiv:2603.07761v1 Announce Type: cross Abstract: Entanglement fidelity quantifies how well a quantum channel preserves the correlations between a transmitted system and an inaccessible reference system....
arXiv:2603.07778v1 Announce Type: cross Abstract: Inferring the dynamical generator of a many-body quantum system from measurement data is essential for the verification, calibration, and control...
arXiv:2603.07812v1 Announce Type: cross Abstract: Embeddings provide low-dimensional representations that organize complex function spaces and support generalization. They provide a geometric representation that supports efficient...
arXiv:2603.07821v1 Announce Type: cross Abstract: Along with the rapid development of new urban mobility options like ride-sharing over the past decade, on-demand micro-transit services stand...
arXiv:2603.07864v1 Announce Type: cross Abstract: Detecting structural instability and anomalies in high-dimensional financial time series is challenging due to complex temporal dependence and evolving cross-sectional...
arXiv:2603.07921v1 Announce Type: cross Abstract: Robust Markov Decision Processes (MDPs) address environmental shift through distributionally robust optimization (DRO) by finding an optimal worst-case policy within...
arXiv:2603.07930v1 Announce Type: cross Abstract: Recently, Kretschmer et al. [KGD+25] presented an experimental demonstration of a proposed quantum information advantage protocol. We present an alternate...
arXiv:2603.07940v1 Announce Type: cross Abstract: Modern science is reaching a critical inflection point. Instruments across disciplines, from particle physics and astronomy to genomics and climate...
arXiv:2603.07947v1 Announce Type: cross Abstract: We present Lattice (L, ticker: LAT), a peer-to-peer electronic cash system designed as a post-quantum settlement layer for the era...
arXiv:2603.07955v1 Announce Type: cross Abstract: We develop a reinforcement learning pipeline for simplifying knot diagrams. A trained agent learns move proposals and a value heuristic...
arXiv:2603.07965v1 Announce Type: cross Abstract: Bayesian optimization (BO) for high-dimensional constrained problems remains a significant challenge due to the curse of dimensionality. We propose Local...
arXiv:2603.07977v1 Announce Type: cross Abstract: Machine Learning Interatomic Potentials (MLIPs) enable accurate large-scale atomistic simulations, yet improving their expressive capacity efficiently remains challenging. Here we...
arXiv:2603.08139v1 Announce Type: cross Abstract: In 2006, using the best methods and techniques available at the time, Maniatis, von Manteuffel, Nachtmann and Nagel published a...
arXiv:2603.08158v1 Announce Type: cross Abstract: The autocovariance least squares (ALS) method is a computationally efficient approach for estimating noise covariances in Kalman filters without requiring...
arXiv:2603.08179v1 Announce Type: cross Abstract: End-to-end full-duplex speech models feed user audio through an always-on LLM backbone, yet the speaker privacy implications of their hidden...
arXiv:2603.08204v1 Announce Type: cross Abstract: We propose a bipartite quantum key distribution (QKD) protocol based on causal nonseparability: the presence of a resource -- a...
arXiv:2603.08216v1 Announce Type: cross Abstract: Speech-to-speech models handle turn-taking naturally but offer limited support for tool-calling or complex reasoning, while production ASR-LLM-TTS voice pipelines offer...
arXiv:2603.08231v1 Announce Type: cross Abstract: Paralinguistic speech tasks are often considered relatively language-agnostic, as they rely on extralinguistic acoustic cues rather than lexical content. However,...
arXiv:2603.08249v1 Announce Type: cross Abstract: Audiovisual speech recognition (AVSR) combines acoustic and visual cues to improve transcription robustness under challenging conditions but remains out of...
arXiv:2603.08257v1 Announce Type: cross Abstract: Machine learning models involving discrete latent variables require gradient estimators to facilitate backpropagation in a computationally efficient manner. The most...