Papers
Research papers from arXiv and related sources
Lattice and Orbital-Resolved Fermiology of Metallenes
Atomically thin metallenes have emerged as a new member of the two-dimensional (2D) materials family. Recent experimental realization of metallenes in the Ångström limit has further intensified int...
Kameyab Raza Abidi, Mohammad Bagheri, Pekka Koskinen
PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes
Accurate, real-time, yet non-destructive estimation of internal states in lithium-ion batteries is critical for predicting degradation, optimizing usage strategies, and extending operational lifesp...
Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang, Pao-Hsiung Chiu, My Ha Dao, Nagarajan Raghav...
Decay of a multi-axionic SU(N) symmetric color aether in the early Universe as an origin of emergence of a many-component dark matter
We establish a new SU(N) symmetric model of interaction between the fields of four types: the multiplet of vector fields, which describes the so-called color aether, the multiplet of pseudoscalar f...
Alexander B. Balakin, Gleb B. Kiselev
Atrial Fibrillation Detection Using Machine Learning
Atrial fibrillation (AF) is a common cardiac arrhythmia and a major risk factor for ischemic stroke. Early detection of AF using non-invasive signals can enable timely intervention. In this work, w...
Ankit Singh, Vidhi Thakur, Nachiket Tapas
Separating Non-Interactive Classical Verification of Quantum Computation from Falsifiable Assumptions
Mahadev [SIAM J. Comput. 2022] introduced the first protocol for classical verification of quantum computation based on the Learning-with-Errors (LWE) assumption, achieving a 4-message interactive ...
Mohammed Barhoush, Tomoyuki Morimae, Ryo Nishimaki, Takashi Yamakawa
Methods for Pitch Analysis in Contemporary Popular Music: Multiphonic Tones Across Genres
This study argues that electronic tones routinely used in contemporary popular music - including 808-style bass and power chords - are structurally and perceptually equivalent to multiphonics in co...
Emmanuel Deruty, David Meredith, Yann Macé, Luc Leroy, Dima Tsypkin, Pascal Arbez-Nicolas
Observer-robust energy condition verification for warp drive spacetimes
We present \textbf{warpax}, an open-source, GPU-accelerated Python toolkit for observer-robust energy condition analysis of warp drive spacetimes. Existing tools evaluate energy conditions for a fi...
An T. Le
Flow Actor-Critic for Offline Reinforcement Learning
The dataset distributions in offline reinforcement learning (RL) often exhibit complex and multi-modal distributions, necessitating expressive policies to capture such distributions beyond widely-u...
Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung
Cosmic Acceleration from a Simultaneous Variation of Fundamental Constants
We discuss the possibility of a simultaneous cosmic variation of two fundamental entities: the Newtonian gravitational coupling $G$ and the electron mass $m_e$. We show that this variation can acco...
Malavika K, Soumya Chakrabarti
Superintegrability and choreographic obstructions in dihedral $n$-body Hamiltonian systems
In this study $n$-body systems on the plane, invariant under the dihedral group $D_n$, with quadratic pairwise interactions are considered. In the center-of-mass frame the dynamics separates into F...
Adrian M Escobar-Ruiz, Manuel Fernandez-Guasti
In-Context Learning for Pure Exploration in Continuous Spaces
In active sequential testing, also termed pure exploration, a learner is tasked with the goal to adaptively acquire information so as to identify an unknown ground-truth hypothesis with as few quer...
Alessio Russo, Yin-Ching Lee, Ryan Welch, Aldo Pacchiano
Generating adversarial inputs for a graph neural network model of AC power flow
This work formulates and solves optimization problems to generate input points that yield high errors between a neural network's predicted AC power flow solution and solutions to the AC power flow ...
Robert Parker
Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
Transfer learning aims to improve inference in a target domain by leveraging information from related source domains, but its effectiveness critically depends on how cross-domain heterogeneity is m...
Hanxiao Chen, Debarghya Mukherjee
A Geometric Probe of the Accuracy-Robustness Trade-off: Sharp Boundaries in Symmetry-Breaking Dimensional Expansion
The trade-off between clean accuracy and adversarial robustness is a pervasive phenomenon in deep learning, yet its geometric origin remains elusive. In this work, we utilize Symmetry-Breaking Dime...
Yu Bai, Zhe Wang, Jiarui Zhang, Dong-Xiao Zhang, Yinjun Gao, Jun-Jie Zhang
Symfrog-512: High-Capacity Sponge-Based AEAD Cipher (1024-bit State)
This submission includes a complete reference implementation together with deterministic test vectors and a reproducible benchmark suite. All source code, build instructions, and regression artifac...
Victor Duarte Melo
The Information Dynamics of Insider Intent: How Reporting Inversions (Form 144) Mask Informational Rents in Insider Sales (Form 4)
This study identifies and quantifies a significant informational friction embedded in the SEC Form 144 disclosure regime, characterized as predictive decoupling. Drawing on a theoretical foundation...
Krishna Neupane
The mean-field control problem for heterogeneous forward-backward systems
We study the problem of mean-field control when the state dynamics are given by general systems of forward-backward stochastic differential equations (FBSDEs) with heterogeneous mean-field interact...
Andreas Sojmark, Zeng Zhang
MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
Developing foundation models for time series classification is of high practical relevance, as such models can serve as universal feature extractors for diverse downstream tasks. Although early mod...
Vasilii Feofanov, Songkang Wen, Jianfeng Zhang, Lujia Pan, Ievgen Redko
Simple non-invasive methods for obtaining the intensity and timing of arterial pulse waves
Contraction of the left ventricle of the heart increases aortic root blood pressure (P), diameter (D) and blood velocity (U). When contraction diminishes, all three properties decrease. These pertu...
Ethan M. Rowland, Peter D. Weinberg
Quantum superresolution and noise spectroscopy with quantum computing
Quantum metrology of an incoherent signal is a canonical sensing problem related to superresolution and noise spectroscopy. We show that quantum computing can accelerate searches for a weak incoher...
James W. Gardner, Federico Belliardo, Gideon Lee, Tuvia Gefen, Liang Jiang