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Engineering Preprint PDF DOI

BUT System Description for CHiME-9 MCoRec Challenge

Dominik Klement, Alexander Polok, Nguyen Hai Phong, Prachi Singh, Lukas Burget · 2026

Multi-talker automatic speech recognition (ASR) in conversational recordings remains an open problem, particularly in scenarios with large portion of overlapping speech where identifying and transcrib…

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AI & Data Science Preprint PDF DOI

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes

Eichi Uehara · 2026

Conditional Average Treatment Effect (CATE) estimation in practice demands three properties simultaneously: heterogeneous effects $\tau(x)$, calibrated uncertainty over them, and robustness to the hea…

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AI & Data Science Preprint PDF DOI

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

Qi Li, Yong Huang, Hui Li · 2026

Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-based SHM data quality …

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Engineering Preprint PDF DOI

SPG-Codec: Exploring the Role and Boundaries of Semantic Priors in Ultra-Low-Bitrate Neural Speech Coding

Mingyu Zhao, Zijian Lin, Kun Wei, Zhiyong Wu · 2026

Conventional neural speech codecs suffer from severe intelligibility degradation at ultra-low bitrates, where the bottleneck transitions from acoustic distortion to semantic loss. To address this issu…

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Mathematics Preprint PDF DOI

Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach

Yiwei Qiu, Qingjie Sun, Yangjun Zeng, Ge Chen, Longjie Yang, Ge He, Xu Ji, Shi Chen, Buxiang Zhou, Kaigui Xie · 2026

In renewable power-to-ammonia (ReP2A) systems, the intermittency of wind and solar generation propagates through electrolytic hydrogen production and induces thermal instability in the ammonia synthes…

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Neuroscience Preprint PDF DOI

What are the functions of primary visual cortex (V1)?

Li Zhaoping · 2026

Although Hubel and Wiesel established decades ago how individual V1 neurons transform retinal inputs, functions of V1 as a whole are being discovered only recently. First, V1 acts as a motor cortex fo…

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Physics Preprint PDF DOI

Testing $\Lambda$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers

Yuki Hashimoto, Kazuharu Bamba, Sanjay Mandal · 2026

In modern cosmology, the rapid growth of high-precision observational data, along with significant theoretical advances, has intensified the challenge of identifying a robust, model-independent framew…

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AI & Data Science Preprint PDF DOI

Phonological Subspace Collapse Is Aetiology-Specific and Cross-Lingually Stable: Evidence from 3,374 Speakers

Bernard Muller, Antonio Armando Ortiz Barranon, LaVonne Roberts · 2026

We previously introduced a training-free method for dysarthria severity assessment based on d-prime separability of phonological feature subspaces in frozen self-supervised speech representations, val…

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Computer Science Preprint PDF DOI

Onyx: Cost-Efficient Disk-Oblivious ANN Search

Deevashwer Rathee, Jean-Luc Watson, Zirui Neil Zhao, G. Edward Suh, Raluca Ada Popa · 2026

Approximate nearest neighbor (ANN) search in AI systems increasingly handles sensitive data on third-party infrastructure. Trusted execution environments (TEEs) offer protection, but cost-efficient de…

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Computer Science Preprint PDF DOI

A GPU-Accelerated Framework for Multi-Attribute Range Filtered Approximate Nearest Neighbor Search

Zhonggen Li, Haoran Yu, Zixuan Xu, Yifan Zhu, Yunjun Gao · 2026

Range-filtered approximate nearest neighbor search (RFANNS) is increasingly critical for modern vector databases. However, existing solutions suffer from severe index inflation and construction overhe…

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AI & Data Science Preprint PDF DOI

Multiscale Cochran-Mantel-Haenszel Scanning for Conditional Dependency

Gyeonghun Kang, Jialiang Mao, Li Ma · 2026

We propose a nonparametric approach to testing conditional independence and estimating conditional association, generalizing the Cochran-Mantel-Haenszel (CMH) test and odds-ratio estimator to continuo…

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AI & Data Science Preprint PDF DOI

Quantum inspired qubit qutrit neural networks for real time financial forecasting

Kanishk Bakshi, Kathiravan Srinivasan · 2026

This research investigates the performance and efficacy of machine learning models in stock prediction, comparing Artificial Neural Networks (ANNs), Quantum Qubit-based Neural Networks (QQBNs), and Qu…

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Neuroscience Preprint PDF DOI

The Umwelt Representation Hypothesis: Rethinking Universality

Victoria Bosch, Rowan Sommers, Adrien Doerig, Tim C Kietzmann · 2026

Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer…

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Physics Preprint PDF DOI

A two-color dual-oscillator infrared free-electron laser

Wieland Schollkopf, Sandy Gewinner, Marco De Pas, Heinz Junkes, Sebastian Kray, William Kirstaedter, William B. Colson, David H. Dowell, Stephen C. Gottschalk, John W. Rathke, Tom J. Schultheiss, Alan M. M. Todd, Lloyd M. Young, Akash Chandra Behera, America Y. Torres-Boy, Martin Wolf, Alexander Paarmann, Gert von Helden, Gerard Meijer · 2026

We report on the design and performance of a two-color dual-oscillator infrared free-electron laser (FEL). The mid-infrared (MIR) FEL at the Fritz Haber Institute (FHI FEL) has been upgraded to includ…

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Mathematics Preprint PDF DOI

Mapping estimates for the $k$-plane transform in Sobolev, Besov, and Triebel--Lizorkin Spaces

Fatma Terzioglu · 2026

We study mapping properties of the $k$-plane transform in Sobolev, Besov, and Triebel--Lizorkin spaces. For $1\le k\le d-1$, the $k$-plane transform integrates a function over $k$-dimensional affine p…

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AI & Data Science Preprint PDF DOI

Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data

Aleksander Berezowski, Hassan Hassanzadeh, Gouri Ginde · 2026

Oil and gas drilling operations generate extensive time-series data from surface sensors, yet accurate real-time prediction of critical downhole metrics remains challenging due to the scarcity of labe…

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AI & Data Science Preprint PDF DOI

Forecasting Multivariate Time Series under Predictive Heterogeneity: A Validation-Driven Clustering Framework

Ziling Ma, Angel Lopez Oriona, Hernando Ombao, Ying Sun · 2026

We study adaptive pooling under predictive heterogeneity in high-dimensional multivariate time series forecasting, where global models improve statistical efficiency but may fail to capture heterogene…

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AI & Data Science Preprint PDF DOI

Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations

Bernard Muller, Antonio Armando Ortiz Barranon, LaVonne Roberts · 2026

Dysarthric speech severity assessment typically requires trained clinicians or supervised models built from labelled pathological speech, limiting scalability across languages and clinical settings. W…

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Computer Science Preprint PDF DOI

Decoupling Vector Data and Index Storage for Space Efficiency

Yuanming Ren, Juncheng Zhang, Yanjing Ren, Rui Yang, Di Wu, Patrick P. C. Lee · 2026

Managing large-scale vector datasets with disk-based approximate nearest neighbor search (ANNS) systems faces critical efficiency challenges stemming from the co-location of vector data and auxiliary …

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Computer Science Preprint PDF DOI

HAFM: Hierarchical Autoregressive Foundation Model for Music Accompaniment Generation

Jian Zhu, Jianwei Cui, Shihao Chen, Yubang Zhang, Cheng Luo · 2026

We present HAFM, a system that generates instrumental music audio to accompany input vocals. Given isolated singing voice, HAFM produces a coherent instrumental accompaniment that can be directly mixe…

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