Tootfinder

Remarkable, the judge holding #Trump in #contempt says he knows $1,000 fines aren't enough—he wishes he could make it $2,500 or $150,000!

This https://arxiv.org/abs/2309.16548 has been replaced.
initial toot: https://mastoxiv.page/@a…

Band mixing in the quantum anomalous Hall regime of twisted semiconductor bilayers
Remarkable recent experiments have observed fractional quantum anomalous Hall (FQAH) effects at zero field and unusually high temperatures in twisted semiconductor bilayer $t$MoTe$_2$. Intriguing observations in these experiments such as the absence of integer Hall effects at twist angles where a fractional Hall effect is observed, do however remain unexplained. The experimental phase diagram as a function of twist angle remains to be established. By comprehensive numerical study, we show that …

Probing Two-body Bound States in the Continuum and Nonlinear Breathers Using Intensity Correlations
Trideb Shit, Rishav Hui, Marco Di Liberto, Diptiman Sen, Sebabrata Mukherjee
https://arxiv.org/abs/2402.18340

Probing Two-body Bound States in the Continuum and Nonlinear Breathers Using Intensity Correlations
We study Hanbury Brown-Twiss spatial intensity correlations in femtosecond laser-fabricated photonic Su-Schrieffer-Heeger lattices. We first probe edge bound states in the continuum (BICs) of two indistinguishable bosons by mapping the intensity correlations to the two-body bosonic quantum walk. These two-body edge BICs show remarkable robustness in the presence of disorder. The localization of intensity correlation, observed in the linear regime, persists at weak nonlinearity due to the format…

This https://arxiv.org/abs/2212.01373 has been replaced.
link: https://scholar.google.com/scholar?q=a

From fermionic spin-Calogero-Sutherland models to the Haldane-Shastry chain by freezing
The Haldane-Shastry spin chain has a myriad of remarkable properties, including Yangian symmetry and, for spin $1/2$, explicit highest-weight eigenvectors featuring (the case $α= 1/2$ of) Jack polynomials. This stems from the spin-Calogero-Sutherland model, which reduces to Haldane-Shastry in a special `freezing' limit. In this work we clarify various points that, to the best of our knowledge, were missing in the literature. We have two main results. First, we show that freezing the $\mathit…

Kitaev Interactions Through an Extended Superexchange Pathway in the jeff = 1/2 Ru3 Honeycomb Magnet, RuP3SiO11
Aly H. Abdeldaim, Hlynur Gretarsson, Sarah J. Day, M. Duc Le, Gavin B. G. Stenning, Pascal Manuel, Robin S. Perry, Alexander A. Tsirlin, G{\o}ran J. Nilsen, Lucy Clark
https://arxiv.org/abs/2403.19406

Kitaev Interactions Through an Extended Superexchange Pathway in the jeff = 1/2 Ru3+ Honeycomb Magnet, RuP3SiO11
Magnetic materials are composed of the simple building blocks of magnetic moments on a crystal lattice that interact via short-range magnetic exchange interactions. Yet from these simple building blocks emerges a remarkable diversity of magnetic states. Some of these, such as ferromagnetism, are familiar in our everyday lives, while others reveal the deep quantum mechanical origins of magnetism. A prime example of the latter are quantum spin liquid (QSL) states in which -- unlike in a ferromagn…

🧮 RAD-PHI2: Instruction Tuning PHI-2 for Radiology
(notably they train an LLM for a specified field without a massive resources and get good results - will this work for other domains?)
#ai #cs #computing

RAD-PHI2: Instruction Tuning PHI-2 for Radiology
Small Language Models (SLMs) have shown remarkable performance in general domain language understanding, reasoning and coding tasks, but their capabilities in the medical domain, particularly concerning radiology text, is less explored. In this study, we investigate the application of SLMs for general radiology knowledge specifically question answering related to understanding of symptoms, radiological appearances of findings, differential diagnosis, assessing prognosis, and suggesting treatmen…

SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning
Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli
https://arxiv.org/abs/2402.16830

SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning
Self-supervised learning (SSL) has achieved remarkable success across various speech-processing tasks. To enhance its efficiency, previous works often leverage the use of compression techniques. A notable recent attempt is DPHuBERT, which applies joint knowledge distillation (KD) and structured pruning to learn a significantly smaller SSL model. In this paper, we contribute to this research domain by introducing SKILL, a novel method that conducts distillation across groups of layers instead of…

This https://arxiv.org/abs/2303.10228 has been replaced.
initial toot: https://mastoxiv.page/@ar…

RASCBEC: RAman Spectroscopy Calculation via Born Effective Charge
We advance the algorithm for ab initio calculations of Raman spectra for large systems via applying external electric field, and complement it by a code implementation we name RASCBEC. With the RASCBEC code, we have successfully benchmark crystalline materials and compute Raman spectra of large molecules, and amorphous oxides. Our results demonstrate a remarkable level of agreement with the results from other commonly used codes as well as the experimental data. The electric field approach for …

This https://arxiv.org/abs/2304.00619 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

New examples of $2$-nondegenerate real hypersurfaces in $\mathbb{C}^N$ with arbitrary nilpotent symbols
We introduce a class of uniformly $2$-nondegenerate CR hypersurfaces in $\mathbb{C}^N$, for $N>3$, having a rank $1$ Levi kernel. The class is first of all remarkable by the fact that for every $N>3$ it forms an {\em explicit} infinite-dimensional family of everywhere $2$-nondegenerate hypersurfaces. To the best of our knowledge, this is the first such construction. Besides, the class an infinite-dimensional family of non-equivalent structures having a given constant nilpotent CR symbol for eve…

Mixed Polyanionic NaFe$_{1.6}$V$_{0.4}$(PO$_{4}$)(SO$_{4}$)$_{2}$@CNT Cathode for Sodium-ion Batteries: Electrochemical Diffusion Kinetics and Distribution of Relaxation Time Analysis at Different Temperatures
Jayashree Pati, Rajendra S. Dhaka
https://arxiv.org/abs/2404.12822

Mixed Polyanionic NaFe$_{1.6}$V$_{0.4}$(PO$_{4}$)(SO$_{4}$)$_{2}$@CNT Cathode for Sodium-ion Batteries: Electrochemical Diffusion Kinetics and Distribution of Relaxation Time Analysis at Different Temperatures
We report the electrochemical sodium-ion kiinetics and distribution of relaxation time (DRT) analysis of a newly designed mixed polyanionic NaFe$_{1.6}$V$_{0.4}$(PO$_{4}$)(SO$_{4}$)$_{2}$@CNT composite as a cathode. The specific capacity of 104 mAhg$^{-1}$ is observed at 0.1~C with the average working voltage of $\sim$3~V. Intriguingly, a remarkable rate capability and reversibility are demonstrated up to very high current rate of 25~C. The long cycling test up to 10~C shows high capacity reten…

Non-monotonic surface tension leads to spontaneous symmetry breaking in a binary evaporating drop
Christian Diddens, Pim J. Dekker, Detlef Lohse
https://arxiv.org/abs/2402.17452 <…

Non-monotonic surface tension leads to spontaneous symmetry breaking in a binary evaporating drop
The evaporation of water/1,2-hexanediol binary drops shows remarkable segregation dynamics, with hexanediol-rich spots forming at the rim, thus breaking axisymmetry. While the segregation of hexanediol near the rim can be attributed to the preferential evaporation of water, the symmetry-breaking and spot formation could not yet be successfully explained. With three-dimensional simulations and azimuthal stability analysis of a minimal model, we investigate the flow and composition in the drop. W…

Connecting 2-Forms, Conformal Transformations, Curvature Invariants and Topological Classes in Einstein Spacetimes
Jack C. M. Hughes, Fedor V. Kusmartsev
https://arxiv.org/abs/2403.11527

Connecting 2-Forms, Conformal Transformations, Curvature Invariants and Topological Classes in Einstein Spacetimes
The unique Nature of the Lorentz group in four dimensions is the root cause of the many remarkable properties of the Einstein spacetimes, in particular their operational structure on the 2-forms. We show how this operational structure can be used for two ends. First, it allows for a simple generalization of the Birkhoff theorem to Schwarzschild (A)de-Sitter spacetime. Second, it provides the means to construct an Abelian endomorphism group on the space of 2-forms. It is observed that taking the…

I don't know much about Sebastišn #Piñera's politics or personality - but what I do recall very well is that as Chile's president he (who has just died in a helicopter accident) gave a remarkable speech about the importance of #astronomy at the opening event of the #ALMA radio interferometer in 2013. Here it is, on page 5 of https://www.eso.org/sci/publications/messenger/archive/no.152-jun13/messenger-no152-2-6.pdf

Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models
Seungduk Kim, Seungtaek Choi, Myeongho Jeong
https://arxiv.org/abs/2402.14714

Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models
This report introduces \texttt{EEVE-Korean-v1.0}, a Korean adaptation of large language models that exhibit remarkable capabilities across English and Korean text understanding. Building on recent highly capable but English-centric LLMs, such as SOLAR-10.7B and Phi-2, where non-English texts are inefficiently processed with English-centric tokenizers, we present an efficient and effective vocabulary expansion (EEVE) method, which encompasses parameter freezing and subword initialization. In con…

This https://arxiv.org/abs/2302.12486 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Some remarkable autonomous systems
We study the links of the Darboux-Halphen-Ramanujan system, with contact geometry, canonical coordinates of some $3$-dimensional Frobenius manifolds and projective connections on Riemann surfaces. One of our important goals is to highlight the role of contact geometry in this setting. We also study autonomous systems "derived" from the potential given by the Group-determinant, of any cyclic group $\Z/n\Z$, $n\geqslant3$, and the Klein group $\Z/2\Z\times\Z/2\Z$.

Affine manifolds: The differential geometry of the multi-dimensionally consistent TED equation
W. K. Schief, U. Hertrich-Jeromin, B. G. Konopelchenko
https://arxiv.org/abs/2402.11779

Affine manifolds: The differential geometry of the multi-dimensionally consistent TED equation
It is shown that a canonical geometric setting of the integrable TED equation is a Kahlerian tangent bundle of an affine manifold. The remarkable multi-dimensional consistency of this 4+4-dimensional dispersionless partial differential equation arises naturally in this context. In a particular 4-dimensional reduction, the affine manifolds turn out to be self-dual Einstein spaces of neutral signature governed by Plebanski's first heavenly equation. In another reduction, the affine manifolds are …

E(n)-Equivariant Cartesian Tensor Passing Potential
Junjie Wang, Yong Wang, Haoting Zhang, Ziyang Yang, Zhixin Liang, Jiuyang Shi, Hui-Tian Wang, Dingyu Xing, Jian Sun
https://arxiv.org/abs/2402.15286

E(n)-Equivariant Cartesian Tensor Passing Potential
Machine learning potential (MLP) has been a popular topic in recent years for its potential to replace expensive first-principles calculations in some large systems. Meanwhile, message passing networks have gained significant attention due to their remarkable accuracy, and a wave of message passing networks based on Cartesian coordinates has emerged. However, the information of the node in these models is limited to scalars, vectors, and tensors. In this work, we proposed High-order Tensor Pass…

G359.13142-0.20005: A steep spectrum radio pulsar candidate with an X-ray counterpart running into the Galactic Center Snake (G359.1-0.2)
F. Yusef-Zadeh, Jun-Hui Zhao, R. Arendt, M. Wardle, C. O. Heinke, M. Royster, C. Lang, J. Michail
https://arxiv.org/abs/2402.12441

G359.13142-0.20005: A steep spectrum radio pulsar candidate with an X-ray counterpart running into the Galactic Center Snake (G359.1-0.2)
The Snake is a remarkable Galactic center radio filament with a morphology characterized by two kinks along its $\sim 20'$ extent. The major and minor kinks are located where the filament is most distorted from a linear magnetized structure running perpendicular to the Galactic plane. We present {\em Chandra}, VLA, and MeerKAT data and report the detection of an X-ray and radio source at the location of the major kink. High-resolution radio images of the major kink reveal a compact source with …

Great Escapes exhibition launched https://www.nationalarchives.gov.uk/about/news/great-escapes-exhibition-launched/

Great Escapes exhibition launched - The National Archives
Great Escapes: Remarkable Second World War Captives free exhibition at The National Archives. Opening hours Tuesday-Sunday, 2 February-21 July 2024

This https://arxiv.org/abs/2304.00619 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

New examples of $2$-nondegenerate real hypersurfaces in $\mathbb{C}^N$ with arbitrary nilpotent symbols
We introduce a class of uniformly $2$-nondegenerate CR hypersurfaces in $\mathbb{C}^N$, for $N>3$, having a rank $1$ Levi kernel. The class is first of all remarkable by the fact that for every $N>3$ it forms an {\em explicit} infinite-dimensional family of everywhere $2$-nondegenerate hypersurfaces. To the best of our knowledge, this is the first such construction. Besides, the class an infinite-dimensional family of non-equivalent structures having a given constant nilpotent CR symbol for eve…

This https://arxiv.org/abs/2310.16338 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Generative Pre-training for Speech with Flow Matching
Generative models have gained more and more attention in recent years for their remarkable success in tasks that required estimating and sampling data distribution to generate high-fidelity synthetic data. In speech, text-to-speech synthesis and neural vocoder are good examples where generative models have shined. While generative models have been applied to different applications in speech, there exists no general-purpose generative model that models speech directly. In this work, we take a st…

This https://arxiv.org/abs/2310.17701 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Confirmation of a Substantial Discrepancy between Radio and UV--IR Measures of the Star Formation Rate Density at 0.2 < z < 1.3
We present the initial sample of redshifts for 3,839 galaxies in the MeerKAT DEEP2 field -- the deepest $\sim$1.4\,GHz radio field yet observed. Using a spectrophotometric technique combining coarse optical spectra with broadband photometry, we obtain redshifts with $σ_z \leq 0.01(1+z)$. The resulting radio luminosity functions between $0.2

Multi-Convergence-Angle Ptychography with Simultaneous Strong Contrast and High Resolution
Wei Mao, Weiyang Zhang, Chen Huang, Liqi Zhou, Judy. S. Kim, Si Gao, Yu Lei, Xiaopeng Wu, Yiming Hu, Xudong Pei, Weina Fang, Xiaoguo Liu, Jingdong Song, Chunhai Fan, Yuefeng Nie, Angus. I. Kirkland, Peng Wang
https://arxiv.org/abs/2403.169…

Multi-Convergence-Angle Ptychography with Simultaneous Strong Contrast and High Resolution
Advances in bioimaging methods and hardware facilities have revolutionised the determination of numerous biological structures at atomic or near-atomic resolution. Among these developments, electron ptychography has recently attracted considerable attention because of its superior resolution, remarkable sensitivity to light elements, and high electron dose efficiency. Here, we introduce an innovative approach called multi-convergence-angle (MCA) ptychography, which can simultaneously enhance bo…

A remarkable eelliptic curve
Duco van Straten
https://arxiv.org/abs/2404.05852 https://arxiv.org/pdf/2404.05852

A remarkable eelliptic curve
We describe a system of plane algebraic curves defined over \Z, attached naturally to the exponential function. On of these is a remarkable curve of degree 6 that has genus equal to 1. As the sectic curve has rational points, it is an elliptic curveand can be tranformed over \Q into the curve 1584.j1 of the LMFDB. One is left to wonder what the number 11, appearing in the factorisation 1584=2^4.3^2.11 has to do with the exponential function.

SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
Bo Lin, Yingjing Xu, Xuanwen Bao, Zhou Zhao, Zuyong Zhang, Zhouyang Wang, Jie Zhang, Shuiguang Deng, Jianwei Yin
https://arxiv.org/abs/2404.14755

SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models
With the continuous advancement of vision language models (VLMs) technology, remarkable research achievements have emerged in the dermatology field, the fourth most prevalent human disease category. However, despite these advancements, VLM still faces "hallucination" in dermatological diagnosis, and due to the inherent complexity of dermatological conditions, existing tools offer relatively limited support for user comprehension. We propose SkinGEN, a diagnosis-to-generation framework that leve…

This https://arxiv.org/abs/2310.16338 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Generative Pre-training for Speech with Flow Matching
Generative models have gained more and more attention in recent years for their remarkable success in tasks that required estimating and sampling data distribution to generate high-fidelity synthetic data. In speech, text-to-speech synthesis and neural vocoder are good examples where generative models have shined. While generative models have been applied to different applications in speech, there exists no general-purpose generative model that models speech directly. In this work, we take a st…

Spin dynamics and dark particle in a weak-coupled quantum Ising ladder with $\mathcal{D}_8^{(1)}$ spectrum
Yunjing Gao, Xiao Wang, Ning Xi, Yunfeng Jiang, Rong Yu, Jianda Wu
https://arxiv.org/abs/2402.11229

Spin dynamics and dark particle in a weak-coupled quantum Ising ladder with $\mathcal{D}_8^{(1)}$ spectrum
Emergent Ising$_h^2$ integrability is anticipated in a quantum Ising ladder composed of two weakly coupled, critical transverse field Ising chains. This integrable system is remarkable for including eight types of massive relativistic particles, with their scattering matrix and spectrum characterized by the $\mathcal{D}_8^{(1)}$ Lie algebra. In this article we delve into the zero-temperature spin dynamics of this integrable quantum Ising ladder. By computing the dynamical structure factors from…

Pressure-enhanced $f$-electron orbital weighting in UTe2 mapped by quantum interferometry
T. I. Weinberger, Z. Wu, A. J. Hickey, D. E. Graf, G. Li, P. Wang, R. Zhou, A. Cabala, J. Pu, V. Sechovsky, M. Valiska, G. G. Lonzarich, F. M. Grosche, A. G. Eaton
https://arxiv.org/abs/2403.03946 <…

Pressure-enhanced $f$-electron orbital weighting in UTe2 mapped by quantum interferometry
The phase landscape of UTe$_2$ features a remarkable diversity of superconducting phases under applied pressure and magnetic field. Recent quantum oscillation studies at ambient pressure have revealed the quasi-2D Fermi surface of this material. However, the pressure-dependence of the Fermi surface remains an open question. Here we track the evolution of the UTe$_2$ Fermi surface as a function of pressure up to 19.5 kbar by measuring quantum interference oscillations. We find that in sufficient…

Effect of Substitution Group on Intramolecular Hydrogen Bond of Amino Alcohols from Raman spectroscopy
Honghui Zhao, Hongyuan Shen, Ao You, Yuanqin Yu
https://arxiv.org/abs/2403.14129

Effect of Substitution Group on Intramolecular Hydrogen Bond of Amino Alcohols from Raman spectroscopy
Due to the simultaneous presence of two polar functional groups and flexible spatial structure, Aminoethanol (AE) is a model system for investigating the relationship between intramolecular hydrogen bonding and conformational equlibrium. In addition, Aminoethanol and their derivatives exhibit remarkable efficacy in the reversible capture of carbon dioxide. The intramoleculr hydrogen bond of 2-AE is determined by a subtle balance between electrostatic interactions, Van der Waals interactions, an…

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang
https://arxiv.org/abs/2404.11960 <…

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
The most recent pointwise Large Language Model (LLM) rankers have achieved remarkable ranking results. However, these rankers are hindered by two major drawbacks: (1) they fail to follow a standardized comparison guidance during the ranking process, and (2) they struggle with comprehensive considerations when dealing with complicated passages. To address these shortcomings, we propose to build a ranker that generates ranking scores based on a set of criteria from various perspectives. These cri…

This https://arxiv.org/abs/2309.09510 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech
Text language models have shown remarkable zero-shot capability in generalizing to unseen tasks when provided with well-formulated instructions. However, existing studies in speech processing primarily focus on limited or specific tasks. Moreover, the lack of standardized benchmarks hinders a fair comparison across different approaches. Thus, we present Dynamic-SUPERB, a benchmark designed for building universal speech models capable of leveraging instruction tuning to perform multiple tasks in…

Tunable ultrastrong magnon magnon coupling and spin Hall magnetoresistance in a van der Waals antiferromagnet
C. W. F. Freeman, Z. Xue, A. K. Budniak, H. De Libero, T. Thomson, M. Bosman, G. Eda, H. Kurebayashi, M. Cubukcu
https://arxiv.org/abs/2403.15558

Tunable ultrastrong magnon magnon coupling and spin Hall magnetoresistance in a van der Waals antiferromagnet
Antiferromagnetic (AFM) magnons and the manipulation of magnetisation via spin currents in van der Waals (vdW) materials offer substantial potential for applications in magnonics and spintronics. In this study, we demonstrate ultrastrong magnon-magnon coupling in the GHz regime within a vdW AFM, achieving a remarkable maximum normalised coupling strength of 0.47. Our investigation unveils the tunability of coupling strength through temperature-dependent magnetic anisotropies. Additionally, we s…

High Performance Graphene Integrated Photonics Platform Enabled by Gold-assisted Transfer
Xiaoxuan Wu, Zhengyi Cao, Tianxiang Zhao, Yun Wu, Zhonghui Li, Spyros Doukas, Elefterios Lidorikis, Yu Xue, Liu Liu, Omid Ghaebi, Giancarlo Soavi, Junpeng Lv, Zhenghua Ni, Junjia Wang
https://arxiv.org/abs/2403.11084

High Performance Graphene Integrated Photonics Platform Enabled by Gold-assisted Transfer
Graphene is promising for nanoscale, efficient, ultra-fast photo- and opto-electronic devices because of its remarkable electrical and optical properties, such as fast electron relaxation and heat dissipation. Here, we realize high-performance graphene integrated photonics platform enabled by gold-assisted transfer. Thanks to our optimized transfer technique, we fabricate and demonstrate (1) a microscale thermo-optic modulator with a tuning efficiency of 0.037 nm/mW and high heating performance…

Polarized Charge Dynamics of a Novel Charge Density Wave in Kagome FeGe
Shaohui Yi, Zhiyu Liao, Qi Wang, Haiyang Ma, Jianpeng Liu, Xiaokun Teng, Pengcheng Dai, Yaomin Dai, Jianzhou Zhao, Yanpeng Qi, Bing Xu, Xianggang Qiu
https://arxiv.org/abs/2403.09950

Polarized Charge Dynamics of a Novel Charge Density Wave in Kagome FeGe
We report on the charge dynamics of kagome FeGe, an antiferromagnet with a charge density wave (CDW) transition at $T_{\mathrm{CDW}} \simeq 105$ K, using polarized infrared spectroscopy and band structure calculations. We reveal a pronounced optical anisotropy, various excitations associated with flat bands and van Hove singularities (VHSs), and a moderate level of electronic correlations. Notably, there are two types of remarkable spectral weight (SW) redistributions for above and below $T_{\m…

This https://arxiv.org/abs/2402.13874 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

$Se^2$: Sequential Example Selection for In-Context Learning
The remarkable capability of large language models (LLMs) for in-context learning (ICL) needs to be activated by demonstration examples. Prior work has extensively explored the selection of examples for ICL, predominantly following the "select then organize" paradigm, such approaches often neglect the internal relationships between examples and exist an inconsistency between the training and inference. In this paper, we formulate the problem as a $\textit{se}$quential $\textit{se}$lection probl…

This https://arxiv.org/abs/2401.16433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Within-basket Recommendation via Neural Pattern Associator
Within-basket recommendation (WBR) refers to the task of recommending items to the end of completing a non-empty shopping basket during a shopping session. While the latest innovations in this space demonstrate remarkable performance improvement on benchmark datasets, they often overlook the complexity of user behaviors in practice, such as 1) co-existence of multiple shopping intentions, 2) multi-granularity of such intentions, and 3) interleaving behavior (switching intentions) in a shopping …

Target Speech Extraction with Pre-trained Self-supervised Learning Models
Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Shoko Araki, Jan Cernocky
https://arxiv.org/abs/2402.13199

Target Speech Extraction with Pre-trained Self-supervised Learning Models
Pre-trained self-supervised learning (SSL) models have achieved remarkable success in various speech tasks. However, their potential in target speech extraction (TSE) has not been fully exploited. TSE aims to extract the speech of a target speaker in a mixture guided by enrollment utterances. We exploit pre-trained SSL models for two purposes within a TSE framework, i.e., to process the input mixture and to derive speaker embeddings from the enrollment. In this paper, we focus on how to effecti…

Below the Surface: Unraveling the Intricacies of the Nonlinear Optical Properties of Aluminum through Bound Electrons
M. Scalora (Aviation,Missile Center, Redstone Arsenal, USA), K. Hallman (PeopleTec Inc., USA), S. Mukhopadhyay (Universitat Politecnica de Catalunya,), S. Pruett (AFROTC Detachment, Auburn University), D. Zappa (University of Brescia, Italy), E. Comini (University of Brescia, Italy), D. de Ceglia (University of Brescia, Italy), M. A. Vincenti (University of Brescia, Ita…

Below the Surface: Unraveling the Intricacies of the Nonlinear Optical Properties of Aluminum through Bound Electrons
By uncovering novel aspects of second harmonic generation in aluminum we show that there are unusual and remarkable consequences of resonant absorption, namely an unexpectedly critical role that bound electrons play for light-matter interactions across the optical spectrum, suggesting that a different basic approach is required to fully explain the physics of surfaces. We tackle an issue that is never under consideration given the generic hostile conditions to the propagation of light under res…

Tunable ultrastrong magnon magnon coupling and spin Hall magnetoresistance in a van der Waals antiferromagnet
C. W. F. Freeman, Z. Xue, A. K. Budniak, H. De Libero, T. Thomson, M. Bosman, G. Eda, H. Kurebayashi, M. Cubukcu
https://arxiv.org/abs/2403.15558

Tunable ultrastrong magnon magnon coupling and spin Hall magnetoresistance in a van der Waals antiferromagnet
Antiferromagnetic (AFM) magnons and the manipulation of magnetisation via spin currents in van der Waals (vdW) materials offer substantial potential for applications in magnonics and spintronics. In this study, we demonstrate ultrastrong magnon-magnon coupling in the GHz regime within a vdW AFM, achieving a remarkable maximum normalised coupling strength of 0.47. Our investigation unveils the tunability of coupling strength through temperature-dependent magnetic anisotropies. Additionally, we s…

Probing Self-supervised Learning Models with Target Speech Extraction
Junyi Peng, Marc Delcroix, Tsubasa Ochiai, Oldrich Plchot, Takanori Ashihara, Shoko Araki, Jan Cernocky
https://arxiv.org/abs/2402.13200

Probing Self-supervised Learning Models with Target Speech Extraction
Large-scale pre-trained self-supervised learning (SSL) models have shown remarkable advancements in speech-related tasks. However, the utilization of these models in complex multi-talker scenarios, such as extracting a target speaker in a mixture, is yet to be fully evaluated. In this paper, we introduce target speech extraction (TSE) as a novel downstream task to evaluate the feature extraction capabilities of pre-trained SSL models. TSE uniquely requires both speaker identification and speech…

Quantum embedding for molecules using auxiliary particles -- The ghost Gutzwiller Ansatz
Carlos Mejuto-Zaera
https://arxiv.org/abs/2403.05157 https://

Quantum embedding for molecules using auxiliary particles -- The ghost Gutzwiller Ansatz
Strong/static electronic correlation mediates the emergence of remarkable phases of matter, and underlies the exceptional reactivity properties in transition metal-based catalysts. Modeling strongly correlated molecules and solids calls for multi-reference Ansätze, which explicitly capture the competition of energy scales characteristic of such systems. With the efficient computational screening of correlated solids in mind, the ghost Gutzwiller (gGut) Ansatz has been recently developed. This …

This https://arxiv.org/abs/2402.02785 has been replaced.
link: https://scholar.google.com/scholar?q=a

A tale of two pairs: on the origin of the pseudogap end point in the high-T$_{c}$ cuprate superconductors
There are two seemingly unrelated puzzles about the cuprate superconductors. The first puzzle concerns the strong non-BCS behavior around $x_{c}$, the end point of the superconducting dome on the overdoped side, where the cuparte is believed to be well described by the fermi liquid theory. This is the most evident in the observed $ρ_{s}(0)-T_{c}$ scaling and the large amount of uncondensed optical spectral weight at low energy. The second puzzle concerns the remarkable robustness of the d-wave…

This https://arxiv.org/abs/2307.08533 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Nonlinear Processing with Linear Optics
Deep neural networks have achieved remarkable breakthroughs by leveraging multiple layers of data processing to extract hidden representations, albeit at the cost of large electronic computing power. To enhance energy efficiency and speed, the optical implementation of neural networks aims to harness the advantages of optical bandwidth and the energy efficiency of optical interconnections. In the absence of low-power optical nonlinearities, the challenge in the implementation of multilayer opti…

This https://arxiv.org/abs/2401.11771 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Empowering Communication: Speech Technology for Indian and Western Accents through AI-powered Speech Synthesis
Neural Text-to-speech (TTS) synthesis is a powerful technology that can generate speech using neural networks. One of the most remarkable features of TTS synthesis is its capability to produce speech in the voice of different speakers. This paper introduces voice cloning and speech synthesis https://pypi.org/project/voice-cloning/ an open-source python package for helping speech disorders to communicate more effectively as well as for professionals seeking to integrate voice cloning or speech s…

This https://arxiv.org/abs/2403.08456 has been replaced.
link: https://scholar.google.com/scholar?q=a

Layered Kagome Compound Na$_2$Ni$_3$S$_4$ with Topological Flat Band
We report structural and electronic properties of Na$_2$Ni$_3$S$_4$, a quasi-two-dimensional compound composed of alternating layers of [Ni$_3$S$_4$]$^{2-}$ and Na$^{+}$. The compound features a remarkable Ni-based kagome lattice with a square planar configuration of four surrounding S atoms for each Ni atom. Magnetization and electrical measurements reveal a weak paramagnetic insulator with a gap of about 0.5 eV. Our band structure calculation highlights a set of topological flat bands of the …

CaDRec: Contextualized and Debiased Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu
https://arxiv.org/abs/2404.06895

CaDRec: Contextualized and Debiased Recommender Model
Recommender models aimed at mining users' behavioral patterns have raised great attention as one of the essential applications in daily life. Recent work on graph neural networks (GNNs) or debiasing methods has attained remarkable gains. However, they still suffer from (1) over-smoothing node embeddings caused by recursive convolutions with GNNs, and (2) the skewed distribution of interactions due to popularity and user-individual biases. This paper proposes a contextualized and debiased recomm…

This https://arxiv.org/abs/2307.08533 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Nonlinear Processing with Linear Optics
Deep neural networks have achieved remarkable breakthroughs by leveraging multiple layers of data processing to extract hidden representations, albeit at the cost of large electronic computing power. To enhance energy efficiency and speed, the optical implementation of neural networks aims to harness the advantages of optical bandwidth and the energy efficiency of optical interconnections. In the absence of low-power optical nonlinearities, the challenge in the implementation of multilayer opti…

This https://arxiv.org/abs/2304.04974 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Wav2code: Restore Clean Speech Representations via Codebook Lookup for Noise-Robust ASR
Automatic speech recognition (ASR) has gained remarkable successes thanks to recent advances of deep learning, but it usually degrades significantly under real-world noisy conditions. Recent works introduce speech enhancement (SE) as front-end to improve speech quality, which is proved effective but may not be optimal for downstream ASR due to speech distortion problem. Based on that, latest works combine SE and currently popular self-supervised learning (SSL) to alleviate distortion and improv…

A coarse-grained description of anharmonic lattice environments affecting the quantum dynamics of charge carriers
Kuniyuki Miwa, Souichi Sakamoto, Ken Funo, Akihito Ishizaki
https://arxiv.org/abs/2404.02459

A coarse-grained description of anharmonic lattice environments affecting the quantum dynamics of charge carriers
Lattice softness has a significant impact on charge carrier dynamics in condensed matter systems, contributing to the emergence of various properties and functions. Examples include the remarkable carrier lifetimes and defect tolerances of hybrid organic-inorganic perovskites. Recent studies suggest the contribution of quartic anharmonicity of the lattice vibrations. The quartic anharmonicity can be discussed with a double-well potential, and the transition between the two minima can be coarse-…

Many-body computing on Field Programmable Gate Arrays
Songtai Lv, Yang Liang, Yuchen Meng, Xiaochen Yao, Jincheng Xu, Yang Liu, Qibin Zheng, Haiyuan Zou
https://arxiv.org/abs/2402.06415

Many-body computing on Field Programmable Gate Arrays
A new implementation of many-body calculations is of paramount importance in the field of computational physics. In this study, we leverage the capabilities of Field Programmable Gate Arrays (FPGAs) for conducting quantum many-body calculations. Through the design of appropriate schemes for Monte Carlo and tensor network methods, we effectively utilize the parallel processing capabilities provided by FPGAs. This has resulted in a remarkable tenfold speedup compared to CPU-based computation for …

Many-body computing on Field Programmable Gate Arrays
Songtai Lv, Yang Liang, Yuchen Meng, Xiaochen Yao, Jincheng Xu, Yang Liu, Qibin Zheng, Haiyuan Zou
https://arxiv.org/abs/2402.06415

Many-body computing on Field Programmable Gate Arrays
A new implementation of many-body calculations is of paramount importance in the field of computational physics. In this study, we leverage the capabilities of Field Programmable Gate Arrays (FPGAs) for conducting quantum many-body calculations. Through the design of appropriate schemes for Monte Carlo and tensor network methods, we effectively utilize the parallel processing capabilities provided by FPGAs. This has resulted in a remarkable tenfold speedup compared to CPU-based computation for …

CaDRec: Contextualized and Debiased Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu
https://arxiv.org/abs/2404.06895

CaDRec: Contextualized and Debiased Recommender Model
Recommender models aimed at mining users' behavioral patterns have raised great attention as one of the essential applications in daily life. Recent work on graph neural networks (GNNs) or debiasing methods has attained remarkable gains. However, they still suffer from (1) over-smoothing node embeddings caused by recursive convolutions with GNNs, and (2) the skewed distribution of interactions due to popularity and user-individual biases. This paper proposes a contextualized and debiased recomm…

Neural Networks Hear You Loud And Clear: Hearing Loss Compensation Using Deep Neural Networks
Peter Leer, Jesper Jensen, Laurel Carney, Zheng-Hua Tan, Jan {\O}stergaard, Lars Bramsl{\o}w
https://arxiv.org/abs/2403.10420

Neural Networks Hear You Loud And Clear: Hearing Loss Compensation Using Deep Neural Networks
This article investigates the use of deep neural networks (DNNs) for hearing-loss compensation. Hearing loss is a prevalent issue affecting millions of people worldwide, and conventional hearing aids have limitations in providing satisfactory compensation. DNNs have shown remarkable performance in various auditory tasks, including speech recognition, speaker identification, and music classification. In this study, we propose a DNN-based approach for hearing-loss compensation, which is trained o…

This https://arxiv.org/abs/2404.07341 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping
This paper presents Conformer-1, an end-to-end Automatic Speech Recognition (ASR) model trained on an extensive dataset of 570k hours of speech audio data, 91% of which was acquired from publicly available sources. To achieve this, we perform Noisy Student Training after generating pseudo-labels for the unlabeled public data using a strong Conformer RNN-T baseline model. The addition of these pseudo-labeled data results in remarkable improvements in relative Word Error Rate (WER) by 11.5% and 2…