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In this paper, we propose to combine imitation and reinforcement learning via the idea of reward shaping using an oracle. We study the effectiveness of the near-optimal cost-to-go oracle on the planning horizon and demonstrate that the…

Machine Learning · Computer Science 2018-05-30 Wen Sun , J. Andrew Bagnell , Byron Boots

Time series classification (TSC) is crucial in numerous real-world applications, such as environmental monitoring, medical diagnosis, and posture recognition. TSC tasks require models to effectively capture discriminative information for…

Machine Learning · Computer Science 2025-12-10 Da Zhang , Bingyu Li , Zhiyuan Zhao , Yanhan Zhang , Junyu Gao , Feiping Nie , Xuelong Li

We have studied the lattice dynamics, electron-phonon coupling, and superconducting properties of $\alpha$-MoB$_2$, as a function of applied pressure, within the framework of density functional perturbation theory using a mixed-basis…

Superconductivity · Physics 2023-10-31 Marco-Antonio Carmona-Galván , Rolf Heid , Omar De la Peña-Seaman

We present improved nucleon-nucleon potentials derived in chiral effective field theory up to next-to-next-to-next-to-leading order. We argue that the nonlocal momentum-space regulator employed in the two-nucleon potentials of Refs. [E.…

Nuclear Theory · Physics 2015-06-11 E. Epelbaum , H. Krebs , U. -G. Meißner

Starting from an effective Skyrme interaction we present a method to take into account the coupling between one- and two-phonon terms in the wave functions of excited states. The approach is a development of a finite rank separable…

Nuclear Theory · Physics 2009-11-10 A. P. Severyukhin , V. V. Voronov , Nguyen Van Giai

An equation of motion phonon method, developed for even nuclei and recently extended to odd systems with a valence particle, is formulated in the hole-phonon coupling scheme and applied to A=15 and A=21 isobars with a valence hole. The…

Nuclear Theory · Physics 2019-01-28 Giovanni De Gregorio , Frantisek Knapp , Nicola Lo Iudice , Petr Vesely

The increasing demand for renewable energy and shortage of resources in today's world has been stimulating researchers to explore means for the extraction of energy from wasted heat sources. Thermoelectric materials can convert thermal…

Materials Science · Physics 2024-02-06 Khemrith Bun Saurabh Pathak , Xu Wang

Large language models (LLMs) have demonstrated remarkable performance across various tasks. However, it remains an open question whether the default Euclidean space is the most suitable choice for LLMs. In this study, we investigate the…

Machine Learning · Computer Science 2026-02-09 Menglin Yang , Ram Samarth B B , Aosong Feng , Bo Xiong , Jihong Liu , Irwin King , Rex Ying

We introduce and initiate the study of a new model of reductions called the random noise model. In this model, the truth table $T_f$ of the function $f$ is corrupted on a randomly chosen $\delta$-fraction of instances. A randomized…

Computational Complexity · Computer Science 2025-09-09 Tejas Nareddy , Abhishek Mishra

The combination of Baryonic Acoustic Oscillation (BAO) data together with light element abundance measurements from Big Bang Nucleosynthesis (BBN) has been shown to constrain the cosmological expansion history to an unprecedented degree.…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-23 N. Schöneberg , L. Verde , H. Gil-Marín , S. Brieden

Recent advances in spatially selective active noise control (SSANC) using multiple microphones have enabled hearables to suppress undesired noise while preserving desired speech from a specific direction. Aiming to achieve minimal speech…

Audio and Speech Processing · Electrical Eng. & Systems 2025-07-18 Tong Xiao , Reinhild Roden , Matthias Blau , Simon Doclo

This article proposes a robust brain-inspired audio feature extractor (RBA-FE) model for depression diagnosis, using an improved hierarchical network architecture. Most deep learning models achieve state-of-the-art performance for…

Sound · Computer Science 2025-06-10 Yu-Xuan Wu , Ziyan Huang , Bin Hu , Zhi-Hong Guan

Quantum manipulation of individual phonons could offer new resources for studying fundamental physics and creating an innovative platform in quantum information science. Here, we propose to generate quantum states of strongly correlated…

Quantum Physics · Physics 2021-08-02 Yuangang Deng , Tao Shi , Su Yi

Tripartite entanglement as a remarkable resource in quantum information science has been extensively investigated in hybrid quantum systems, whereas it is generally weak and prone to be suppressed by noise, restricting its practical…

Quantum Physics · Physics 2024-12-30 Yan Wang , Jin-Lei Wu , Ya-Feng Jiao , Tian-Xiang Lu , Hui-Lai Zhang , Li-Ying Jiang , Le-Man Kuang , Hui Jing

Subtracting photons from a two-mode squeezed state is a well-known method to increase entanglement. We analyse different strategies of local photon subtraction from a two-mode squeezed state in terms of entanglement gain and success…

Discrete audio tokens derived from self-supervised learning models have gained widespread usage in speech generation. However, current practice of directly utilizing audio tokens poses challenges for sequence modeling due to the length of…

Sound · Computer Science 2024-01-17 Feiyu Shen , Yiwei Guo , Chenpeng Du , Xie Chen , Kai Yu

We present ab initio results for the electron-phonon interaction of the \Gamma-point phonons in the tetragonal high-temperature phase of La2CuO4. Eigenfrequencies and eigenvectors for the symmetry-allowed phonon modes are calculated with…

Strongly Correlated Electrons · Physics 2013-10-28 J. Spitaler , E. I. Shneyder , E. E. Kokorina , I. A. Nekrasov , V. A. Gavrichkov , C. Ambrosch-Draxl , S. G. Ovchinnikov

While the no-core shell model is a state-of-the-art microscopic approach to low-energy nuclear structure, its intense computational requirements lead us to consider time-honored approximations such as the Hartree-Fock (HF) approximation and…

Nuclear Theory · Physics 2007-05-23 Calvin W. Johnson , Ionel Stetcu

In the present work we constrain three different profiles of a Lema\^itre-Tolman-Bondi model using supernovae type Ia and baryon acoustic oscillation data. We improve common practice in the literature by carefully calibrating the supernovae…

Cosmology and Nongalactic Astrophysics · Physics 2016-03-17 C. Z. Vargas , F. T. Falciano , R. R. R. Reis

We generalize the Momentum Average approximations MA$^{(0)}$ and MA$^{(1)}$ to study the effects of coupling to multiple optical phonons on the properties of a Holstein polaron. As for a single phonon mode, these approximations are…

Superconductivity · Physics 2008-11-06 Lucian Covaci , Mona Berciu
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