We present a practical and effective method of planetary defense that allows for extremely short mitigation time scales if required as well as long time scale mitigation. This one system allows for…
PLPhilip Lubin
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Benchmark of the Schmiedl-Seifert optimal protocol with reduced dissipated work and fluctuations in optical tweezers
cond-mat.softFinite-time thermodynamic transformations generally dissipate energy, as required by the Second Law, so identifying and investigating energetically optimal processes remain relevant for understanding…
TMThalyta Tavares Martins, André H. A. Malavazi, Lucas Prado Kamizaki, Artyom Petrosyan et al.Enhancing weak lensing redshift distribution characterization by optimizing the Dark Energy Survey Self-Organizing Map Photo-z method
astro-ph.COCharacterization of the redshift distribution of ensembles of galaxies is pivotal for large scale structure cosmological studies. In this work, we focus on improving the Self-Organizing Map (SOM)…
ACA. Campos, B. Yin, S. Dodelson, A. Amon et al.We introduce a general framework to design and analyze algorithms for the problem of testing homomorphisms between finite groups in the low-soundness regime. In this regime, we give the first…
TMTushant Mittal, Sourya RoyAccelerating discovery of infrared nonlinear optical materials with large shift current via high-throughput screening
cond-mat.mtrl-sciDiscovering nonlinear optical (NLO) materials with strong shift current response, particularly in the infrared (IR) regime, is essential for next-generation optoelectronics yet remains highly…
AYAiqin Yang, Dian Jin, Mingkang Liu, Daye Zheng et al.The multi-cycle JWST Treasury program NEXUS will obtain cadenced imaging and spectroscopic observations around the North Ecliptic Pole during 2024-2028. Here we report a systematic search for nuclear…
ZSZachary Stone, Yue Shen, Ming-Yang Zhuang, Lei Hu et al.Medical image segmentation is crucial for clinical applications, but it is frequently disrupted by noisy annotations and ambiguous anatomical boundaries, limiting its application in real-world…
CMChenyu Mu, Guihai Chen, Xun Yang, Erkun Yang et al.Machine unlearning is becoming essential for building trustworthy and compliant language models. Yet unlearning success varies considerably across individual samples: some are reliably erased, while…
JCJiali Cheng, Ziheng Chen, Chirag Agarwal, Hadi AmiriConstructing a gravitational wave analysis pipeline for extremely large mass ratio inspirals
astro-ph.HEExtremely large mass-ratio inspirals (XMRIs), consisting of a brown dwarf orbiting a supermassive black hole, emit long-lived and nearly monochromatic gravitational waves in the millihertz band and…
TWTian-Xiao Wang, Yan Wang, Alejandro Torres-Orjuela, Yi-Ren Lin et al.PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms
cs.AIAI-powered people search platforms are increasingly used in recruiting, sales prospecting, and professional networking, yet no widely accepted benchmark exists for evaluating their performance. We…
WWWei Wang, Tianyu Shi, Shuai Zhang, Boyang Xia et al.Hybrid variational quantum algorithms are promising for solving practical problems, such as combinatorial optimization, quantum chemistry simulation, quantum machine learning, and quantum error…
CWC. -C. Joseph Wang, F. Perkkola, I. Salmenperä, A. Meijer-van de Griend et al.Temporal Coarse-Graining as the Origin of Macroscopic Friction in Quantum Spin Chains via Data-Driven Liouvillian Extraction
quant-phUnderstanding how macroscopic irreversible hydrodynamics emerges from the reversible unitary dynamics of isolated quantum many-body systems remains a central challenge. Conventional approaches force…
SSSeiki SaitoSpeculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism
cs.CLSpeculative Decoding (SD) accelerates low-concurrency LLM inference with a draft-then-verify paradigm. Mainstream methods, however, rely on multi-token prediction, which incurs compounding prediction…
YYYijiong Yu, Huazheng Wang, Shuai Yuan, Ruilong Ren et al.From inverse problems to neural operators: prediction, mechanism, and generalization of data-driven models
cs.LGScientists have historically relied on mathematical models based on differential equations to relate system inputs -- forces, fluxes, or heat sources -- to outputs, such as displacement, velocity,…
CRConor RowanModernizing the security of operational technology systems that control critical infrastructure has become a pressing challenge. Because edge devices have limited capabilities, modernization has…
ZWZhongjing Wei, Osaid Muhammad Ameer, Nikita Borisov, Yupeng ZhangPain is a complex and pervasive phenomenon affecting a large percentage of the population, and accurate assessment is essential for effective clinical management and intervention. Computational pain…
SGStefanos Gkikas, Christian Arzate Cruz, Valentina Becchetti, Muhammad Umar Khan et al.Automatic pain assessment from facial video remains challenging due to the spatial heterogeneity of pain-related facial cues. This study proposes ReFace, a spatial reorganization pipeline that…
SGStefanos Gkikas, Yu Fang, Christian Arzate Cruz, Muhammad Umar Khan et al.Explainable graph attention network for stress recognition (StressGAT) via differential action units
cs.CVStress is a dynamic process characterized by significant individual variability in facial expression. Traditional architectures, such as Recurrent Neural Networks (RNNs) and Convolutional Neural…
TKThomas Kassiotis, Stefanos Gkikas, Nikolaos Smyrnis, Giorgos GiannakakisEfficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks
cs.AIBody-based emotion recognition is important for real-time affective systems, but graph-based skeleton models can be computationally expensive. This paper studies whether lightweight temporal…
CCChristian Arzate Cruz, Stefanos Gkikas, Houshyar AsadiThe sign problem is a notorious obstacle for classically simulating quantum theories with fermions. We propose an effective field theory method for analyzing the sign problem. At high temperatures, a…
GBGauri Batra, Henry W. Lin, Haifeng TangMulti-gate teleportation (MGT) packages n remote gates into a single ebit via a 1-ebit fan-out quantum circuit, saving n-1 entangled pairs relative to sequential gate teleportation. The cost is…
MRMathys RennelaRepeated-game strategies can impose global payoff relations by balancing controlled rewards across time. The question is what remains when the opponent decides, after observing each round, whether…
AKAlexander KangasHuman-Robot Collaboration (HRC) in shared physical spaces using Augmented Reality (AR) interfaces is powered by Simultaneous Localization and Mapping (SLAM). Existing multi-agent SLAM systems rely on…
TDTianyuan Du, Tianyi Hu, Hanting Ye, Maria GorlatovaAutonomous Physical Computation: A Categorical Closure Criterion for Physical and Neuromorphic Reservoirs
cs.ETPhysical reservoirs, neuromorphic devices, and wave-mediated systems often possess memory, feedback, and rich state-dependent dynamics, but these properties do not by themselves establish autonomous…
NDNima DehghaniExpected number density of critical points of smooth Gaussian random fields in arbitrary dimensions
math.STWe obtain explicit formulas for the expected number and height distribution of critical points of smooth isotropic Gaussian random fields on Rd. The expected number density formula is…
SKSatoshi Kuriki, Takahiko Matsubara, Satoshi Iso