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Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric · 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support the…

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AI & Data Science Preprint PDF DOI

Beyond Pixel Fidelity: Minimizing Perceptual Distortion and Color Bias in Night Photography Rendering

Furkan K{i}nl{i} · 2026

Night Photography Rendering (NPR) poses a significant challenge due to the extreme contrast between dark and illuminated areas in scenes, stemming from concurrent capture of severely dark regions alon…

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Physics Preprint PDF DOI

The DAMSA Experiment

Prithak Bhattarai, Andrew Brandt, Alan Bross, Bradley Brown, Samriddha Chakraborty, Haohui Che, Bhupal Dev, Bhaskar Dutta, Juan V. Estrada, Eric Garcia, Anthony Gomez, Gajendra Gurung, Brian Joshua Gomez Hernandez, Wooyoung Jang, Jay Hyun Jo, Krzysztof Jod{l}owski, Doojin Kim, Eunsu Kim, Hyunyong Kim, Shin Hyung Kim, Young-Kee Kim, Jing Liu, Chang-Seong Moon, Donna Naples, David Nygren, Minseok Oh, Vittorio Paolone, Hyangkyu Park, Jong-Chul Park, Nathaniel J. Pastika, Rohit Raut, Juergen Reichenbacher, Paul Rubinov, Eunsuk Seo, Veronika Shalamova, Seodong Shin, Melvin Shochet, Adrian Thompson, Yau Wah, Shawn Westerdale, Guang Yang, Un-Ki Yang, Inseok Yoon, Jaehoon Yu · 2026

DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for evidence of a dark s…

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Computer Science Preprint PDF DOI

Akita: A High Usability Simulation Framework for Computer Architecture

Sabila Al Jannat, Ying Li, Mengyang He, Xuzhong Wang, Huizhi Zhao, Jingxiang Sun, Daoxuan Xu, Enze Xu, Yifan Sun · 2026

Computer architecture simulation is essential for evaluating new designs without the need for costly tapeout. The community has developed dozens of valuable simulators that have enabled significant ar…

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Physics Preprint PDF DOI

Cosmological intercept tension

Jia-Qi Wang, Shao-Jiang Wang · 2026

The long-standing tension in the Hubble constant $H_0$ has motivated extensive explorations of both new physics and observational systematics, for example, the late-time systematics in measuring the B…

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AI & Data Science Preprint PDF DOI

TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On

Dingbao Shao, Song Wu, Shenyi Wang, Ye Wang, Ziheng Tang, Fei Liu, Jiang Lin, Xinyu Chen, Qian Wang, Ying Tai, Jian Yang, Zili Yi · 2026

Due to the scarcity of large-scale in-the-wild triplet data and the improper use of masks, the performance of video virtual try-on models remains limited. In this paper, we first introduce **TripVVT-1…

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Physics Preprint PDF DOI

Axion dark matter from extended misalignment with a constant-$\omega_\phi$ pre-oscillatory phase and dark radiation

Jose Maria Perez-Poyatos · 2026

In this work, we extend the standard pre-inflationary misalignment mechanism for axion-like particles (ALPs) by introducing a pre-oscillatory phase with constant equation of state $\omega_\phi\in[-1,1…

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AI & Data Science Preprint PDF DOI

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

Logan G Wright, Tianyu Wang, Tatsuhiro Onodera, Peter L. McMahon · 2026

Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, question answering, su…

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Computer Science Preprint PDF DOI

Can We Volunteer Out of the Peer Review Crisis?

Theo Tang, Toby Handfield, Julian Garcia · 2026

The volume of scientific manuscripts is growing faster than the capacity to evaluate them, yet the institutions that govern peer review have remained largely unchanged. The result is a widening mismat…

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Physics Preprint PDF DOI

A Cosmological Uncertainty Relation and Late-Universe Acceleration

Savvas M. Koushiappas · 2026

We propose that the size of the universe and its rate of expansion cannot be simultaneously specified with arbitrary precision, a quantum mechanical statement encoded in a deformed commutation relatio…

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Physics Preprint PDF DOI

Dark photon search status in $\tau-c$ energy region

Zhijun Li, Zhengyun You · 2026

The dark photon plays an important role as a portal to dark matter and has been extensively studied on both experimental and theoretical frontiers. However, as no signals have been observed, the where…

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Physics Preprint PDF DOI

Primordial black hole dark matter from axion inflation

Gabriele Franciolini, Nadir Ijaz, Marco Peloso · 2026

We revisit the production of primordial black holes (PBHs) by a U(1) gauge field with a pseudo-scalar coupling to the inflaton. We improve upon the existing literature by working in the homogeneous ba…

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Mathematics Preprint PDF DOI

A Shifted Cohesive-Zone Method for Non-Interface-Fitted Meshes with Applications to Crystal Plasticity

Cheng-Hau Yang, Mark C. Messner, Tianchen Hu · 2026

The accurate simulation of interface-dominated solid mechanics problems on complex microstructures remains challenging, particularly when interface-fitted quadrilateral or hexahedral meshes are diffic…

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Physics Preprint PDF DOI

Extended Universal Rotational Curve of Spiral Galaxies

Esha Bhatia, Paolo Salucci, Tiziano Schiavone, Sandeep Haridasu · 2026

In this work, we aim to advance the Universal Rotation Curve (URC) paradigm by leveraging new data and extending its observational domain. Building on previous studies that established the URC using o…

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AI & Data Science Preprint PDF DOI

Machine Collective Intelligence for Explainable Scientific Discovery

Gyoung S. Na, Chanyoung Park · 2026

Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated substantial capabilities in function approximati…

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AI & Data Science Preprint PDF DOI

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

Yizhou Wu, Shansong Wang, Yuheng Li, Mojtaba Safari, Mingzhe Hu, Chih-Wei Chang, Harini Veeraraghavan, Xiaofeng Yang · 2026

Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single sel…

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AI & Data Science Preprint PDF DOI

When 2D Tasks Meet 1D Serialization: On Serialization Friction in Structured Tasks

Chung-Hsiang Lo, Lu Li, Diji Yang, Tianyu Zhang, Yunkai Zhang, Yoshua Bengio, Yi Zhang · 2026

Large language models (LLMs) conventionally process structured inputs as 1D token sequences. While natural for prose, such linearization may introduce additional representational burden for tasks whos…

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Physics Preprint PDF DOI

The major cluster merger in Abell 2034 as seen by XRISM: Strong turbulence and spectral anomalies?

Annie Heinrich, Irina Zhuravleva, Eugene Churazov, Congyao Zhang, Daniele Rogantini, Hannah McCall, Reinout J. van Weeren, William R. Forman · 2026

XRISM observations to date have shown that gas kinetic pressures in the intracluster medium (ICM) tend towards the low end of predictions from cosmological simulations. Here, we present a XRISM observ…

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Biology & Life Sciences Preprint PDF DOI

Modeling the impact of host diversity on the evolution of vector feeding preferences and implications for disease control

Shravani Shetgaonkar, Anupama Sharma · 2026

Vector-borne diseases often infect multiple host species, increasing the likelihood of disease persistence due to the presence of multiple reservoirs. Vector biting patterns and feeding preferences ca…

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Physics Preprint PDF DOI

Mesogenesis through the Ephemeral Dark Decay of Beauty

Hooman Davoudiasl, Rachel Houtz, Seyda Ipek · 2026

Mesogenesis provides a path for generating the baryon asymmetry of the Universe, using only the CP violation furnished by the Standard Model in the decay of $B$ mesons. While this is an intriguing pos…

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