Tootfinder

Crosslisted article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
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- Conditional-$t^3$VAE: Equitable Latent Space Allocation for Fair Generation
Aymene Mohammed Bouayed, Samuel Deslauriers-Gauthier, Adrian Iaccovelli, David Naccache

Quantum optical reset with classical memory
Evgeniy O. Kiktenko, Oleg M. Sotnikov, Ilia A. Iakovlev, Yuri A. Biriukov, Aleksey K. Fedorov, Stanislav S. Straupe, Ivan V. Dyakonov, Vladimir V. Mazurenko
https://arxiv.org/abs/2509.02980

Quantum optical reset with classical memory
Dynamic quantum circuits generate states that depend on the measurement results obtained during circuit execution. To date such a quantum computing model has mainly been implemented with qubit-based superconducting hardware utilizing reset operations and classical logic. Here we develop a model of optical reset by using time-bin self-looped interferometers demonstrated in recent experiments. Synchronizing the optical reset with a simple classical device storing history of measurement results al…

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
Aspen K. Hopkins, Isabella Struckman, Kevin Klyman, Susan S. Silbey
https://arxiv.org/abs/2507.02648

Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
The AI industry is exploding in popularity, with increasing attention to potential harms and unwanted consequences. In the current digital ecosystem, AI deployments are often the product of AI supply chains (AISC): networks of outsourced models, data, and tooling through which multiple entities contribute to AI development and distribution. AI supply chains lack the modularity, redundancies, or conventional supply chain practices that enable identification, isolation, and easy correction of fai…

Quadratic Chabauty for Atkin-Lehner quotients of modular curves via weakly holomorphic modular forms: Hodge Filtrations
Isabel Rendell
https://arxiv.org/abs/2509.02291 https://

Quadratic Chabauty for Atkin-Lehner quotients of modular curves via weakly holomorphic modular forms: Hodge Filtrations
For Atkin-Lehner quotients $X_0^+(N)$, of prime level and of genus at least 2, we provide an algorithm for computing one of the main objects in the quadratic Chabauty algorithm in terms of weakly holomorphic modular forms associated to the curve. In particular, the algorithm computes a Hodge filtration on a certain unipotent vector bundle with connection related to $X_0^+(N)$, which is crucial in computing the $p$-adic height which is used to define the finite set of $p$-adic points containing …

Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
Piotr Giedziun, Jan So{\l}tysik, Mateusz G\'orczany, Norbert Ropiak, Marcin Przymus, Piotr Krajewski, Jaros{\l}aw Kwiecie\'n, Artur Bartczak, Izabela Wasiak, Mateusz Maniewski
https://arxiv.org/abs/2509.02601

Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
We present a solution for the MIDOG 2025 Challenge Track~2, addressing binary classification of normal mitotic figures (NMFs) versus atypical mitotic figures (AMFs). The approach leverages pathology-specific foundation model H-optimus-0, selected based on recent cross-domain generalization benchmarks and our empirical testing, with Low-Rank Adaptation (LoRA) fine-tuning and MixUp augmentation. Implementation includes soft labels based on multi-expert consensus, hard negative mining, and adaptiv…

Verification of the Timing System for the X-ray Imaging and Spectroscopy Mission in the GPS Unsynchronized Mode
Megumi Shidatsu, Yukikatsu Terada, Takashi Kominato, So Kato, Ryohei Sato, Minami Sakama, Takumi Shioiri, Yugo Motogami, Yuuki Niida, Chulsoo Kang, Toshihiro Takagi, Taichi Nakamoto, Chikara Natsukari, Makoto S. Tashiro, Kenichi Toda, Hironori Maejima, Shin Watanabe, Ryo Iizuka, Rie Sato, Chris Baluta, Katsuhiro Hayashi, Tessei Yoshida, Shoji Ogawa, Yoshiaki Kanemaru, Kotaro Fukushima, Akio Hoshino, Hiromitsu Takahashi, Masayoshi Nobukawa, Tsunefumi Mizuno, Kazuhiro Nakazawa, Shinichiro Uno, Ken Ebisawa, Satoshi Eguchi, Satoru Katsuda, Aya Kubota, Naomi Ota, Atsushi Tanimoto, Yuichi Terashima, Yohko Tsuboi, Yuusuke Uchida, Hideki Uchiyama, Shigeo Yamauchi, Tomokage Yoneyama, Satoshi Yamada, Nagomi Uchida, Matt Holland, Michael Loewenstein, Tahir Yaqoob, Eric D. Miller, Robert S. Hill, Efrain C. Perez-Solis, Morgan D. Waddy, Mark Mekosh, Joseph B. Fox, Isabella S. Brewer, Emily Aldoretta, Koji Mukai, Kenji Hamaguchi, Francois Mernier, Anna Ogorzalek, Katja Pottschmidt, Mihoko Yukita
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No evidence of intrinsic linear polarization in Nova Vel 2025 (V572 Vel)
Isabel J. Lima, Marina M. C. Mello, Claudia V. Rodrigues, G. Juan M. Luna, Francisco Jablonski, Fernando Falkenberg
https://arxiv.org/abs/2509.01489

No evidence of intrinsic linear polarization in Nova Vel 2025 (V572 Vel)
We report on polarimetric observations of V572 Vel (Nova Vel 2025) conducted on June 26th and July 21st, 2025, shortly after its nova eruption was discovered. Our measurements in the I$_C$ band revealed an average linear polarization of 1.60$\pm$0.03\% at position angle of 132.2\degr. To distinguish between intrinsic and interstellar polarization, we also measured 86 field stars in the nova's vicinity, finding an average polarization of 1.25$\pm$0.61\% at a nearly identical position angle of 13…

hdMTD: An R Package for High-Dimensional Mixture Transition Distribution Models
Maiara Gripp, Giulio Iacobelli, Guilherme Ost, Daniel Y. Takahashi
https://arxiv.org/abs/2509.01808

hdMTD: An R Package for High-Dimensional Mixture Transition Distribution Models
Several natural phenomena exhibit long-range conditional dependencies. High-order mixture transition distribution (MTD) are parsimonious non-parametric models to study these phenomena. An MTD is a Markov chain in which the transition probabilities are expressed as a convex combination of lower-order conditional distributions. Despite their generality, inference for MTD models has traditionally been limited by the need to estimate high-dimensional joint distributions. In particular, for a sample…

RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
Piotr Giedziun, Jan So{\l}tysik, Mateusz G\'orczany, Norbert Ropiak, Marcin Przymus, Piotr Krajewski, Jaros{\l}aw Kwiecie\'n, Artur Bartczak, Izabela Wasiak, Mateusz Maniewski
https://arxiv.org/abs/2509.02599

RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
Mitotic figure detection in histopathology images remains challenging due to significant domain shifts across different scanners, staining protocols, and tissue types. This paper presents our approach for the MIDOG 2025 challenge Track 1, focusing on robust mitotic figure detection across diverse histological contexts. While we initially planned a two-stage approach combining high-recall detection with subsequent classification refinement, time constraints led us to focus on optimizing a single…

Rapid stellar and binary population synthesis with COMPAS: methods paper II
Ilya Mandel, Jeff Riley, Adam Boesky, Adam Brcek, Ryosuke Hirai, Veome Kapil, Mike Y. M. Lau, JD Merritt, Nicol\'as Rodr\'iguez-Segovia, Isobel Romero-Shaw, Yuzhe Song, Simon Stevenson, Avi Vajpeyi, L. A. C. van Son, Alejandro Vigna-G\'omez, Reinhold Willcox
https…

Rapid stellar and binary population synthesis with COMPAS: methods paper II
The COMPAS public rapid binary population synthesis code has undergone a number of key improvements since the original COMPAS methods paper (Team COMPAS: Riley et al., 2022) was published. These include more sophisticated and robust treatments of binary interactions: mass transfer physics, common-envelope events, tides and gravitational-wave radiation reaction; and updated prescriptions for stellar evolution, winds and supernovae. The code structure and outputs have also been updated, with a fo…