Tootfinder

SignClip: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion
Wenfang Wu, Tingting Yuan, Yupeng Li, Daling Wang, Xiaoming Fu
https://arxiv.org/abs/2509.10266

SignClip: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion
Sign language translation (SLT) aims to translate natural language from sign language videos, serving as a vital bridge for inclusive communication. While recent advances leverage powerful visual backbones and large language models, most approaches mainly focus on manual signals (hand gestures) and tend to overlook non-manual cues like mouthing. In fact, mouthing conveys essential linguistic information in sign languages and plays a crucial role in disambiguating visually similar signs. In this…

Benders Decomposition for Passenger-Oriented Train Timetabling with Hybrid Periodicity
Zhiyuan Yao, Anita Sch\"obel, Lei Nie, Sven J\"ager
https://arxiv.org/abs/2511.09892 https://arxiv.org/pdf/2511.09892 https://arxiv.org/html/2511.09892
arXiv:2511.09892v1 Announce Type: new
Abstract: Periodic timetables are widely adopted in passenger railway operations due to their regular service patterns and well-coordinated train connections. However, fluctuations in passenger demand require varying train services across different periods, necessitating adjustments to the periodic timetable. This study addresses a hybrid periodic train timetabling problem, which enhances the flexibility and demand responsiveness of a given periodic timetable through schedule adjustments and aperiodic train insertions, taking into account the rolling stock circulation. Since timetable modifications may affect initial passenger routes, passenger routing is incorporated into the problem to guide planning decisions towards a passenger-oriented objective. Using a time-space network representation, the problem is formulated as a dynamic railway service network design model with resource constraints. To handle the complexity of real-world instances, we propose a decomposition-based algorithm integrating Benders decomposition and column generation, enhanced with multiple preprocessing and accelerating techniques. Numerical experiments demonstrate the effectiveness of the algorithm and highlight the advantage of hybrid periodic timetables in reducing passenger travel costs.
toXiv_bot_toot

Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Kai E. Yang, Xudong Sun, Lucas A. Tarr, Jiayi Liu, Peter Sadowski, S. Curt Dodds, Matthias Rempel, Sarah A. Jaeggli, Thomas A. Schad, Ian Cunnyngham, Yannik Glaser, Linnea Wolniewicz
https://…

Spectropolarimetric Inversion in Four Dimensions with Deep Learning (SPIn4D): II. A Physics-Informed Machine Learning Method for 3D Solar Photosphere Reconstruction
Inferring the three-dimensional (3D) solar atmospheric structures from observations is a critical task for advancing our understanding of the magnetic fields and electric currents that drive solar activity. In this work, we introduce a novel, Physics-Informed Machine Learning method to reconstruct the 3D structure of the lower solar atmosphere based on the output of optical depth sampled spectropolarimetric inversions, wherein both the fully disambiguated vector magnetic fields and the geometri…

Leveraging Photometry for Deconfusion of Directly Imaged Multi-Planet Systems
Samantha N. Hasler, Leonid Pogorelyuk, Riley Fitzgerald, Kerri Cahoy, Rhonda Morgan
https://arxiv.org/abs/2510.09841

Leveraging Photometry for Deconfusion of Directly Imaged Multi-Planet Systems
Planned and future missions, including the Habitable Worlds Observatory (HWO), will aim to directly image Earth-like exoplanets around Sun-like stars in reflected light. Determining whether an exoplanet is in the habitable zone of its star may be difficult in multi-planet systems when the observer does not know in advance which point source detection corresponds to which planet. This "confusion" problem will be a concern for future missions due to the high occurrence rate of multi-planet system…

Climatologist Michael Mann and vaccine expert Peter
say we’re in an
“antiscience superstorm.”
It’s a movement that has upended federal health agencies,
defunded research and weaponized social media and AI
to advance its agenda.
And now, some of the nation’s most vocal antiscience figures are in major positions of power.
We talk to Hotez and Mann about their daily battles against disinformation,
their personal toll and what we can all do to …

Leading Climate and Vaccine Scientists on How to Fight Antiscience | KQED
We talk to Hotez and Mann about their daily battles against disinformation, their personal toll and what we can all do to counter the antiscience threat. Their new book is “Science Under Siege.”

Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
Hantao Nie, Dong An, Zaiwen Wen
https://arxiv.org/abs/2510.10056 https://a…

Quantum Alternating Direction Method of Multipliers for Semidefinite Programming
Semidefinite programming (SDP) is a fundamental convex optimization problem with wide-ranging applications. However, solving large-scale instances remains computationally challenging due to the high cost of solving linear systems and performing eigenvalue decompositions. In this paper, we present a quantum alternating direction method of multipliers (QADMM) for SDPs, building on recent advances in quantum computing. An inexact ADMM framework is developed, which tolerates errors in the iterates …

How to simulate magic state cultivation with around $8$ Clifford terms on average
Kwok Ho Wan, Zhenghao Zhong
https://arxiv.org/abs/2509.08658 https://arxi…

How to simulate magic state cultivation with around $8$ Clifford terms on average
Building upon [arXiv:2509.01224], we present a sketch on how to simulate the non-Clifford $d=5$ magic state cultivation circuits [arXiv:2409.17595] with a sum of $\approx 8$ Clifford ZX-diagrams on average, at $0.1\%$ noise. Compared to a magic cat state stabiliser decomposition of all $53$ non-Clifford spiders ($6{,}377{,}292$ terms required), this is more than $7 \times 10^{5}$ times reduction in the number of terms. Our stabiliser decomposition has the advantage of representing the final non…

A Spatio-temporal CP decomposition analysis of New England region in the US
Fatoumata Sanogo
https://arxiv.org/abs/2510.10322 https://arxiv.org/pdf/2510.10…

A Spatio-temporal CP decomposition analysis of New England region in the US
Spatio temporal data consist of measurement for one or more raster fields such as weather, traffic volume, crime rate, or disease incidents. Advances in modern technology have increased the number of available information for this type of data hence the rise of multidimensional data. In this paper we take advantage of the multidimensional structure of the data but also its temporal and spatial structure. In fact, we will be using the NCAR Climate Data Gateway website which provides data discove…

While China’s older tech pioneers tend to idolize Silicon Valley,
younger founders find their role models in people such as
DeepSeek’s Liang Wenfeng and
Unitree’s Wang Xingxing
— both of whom studied exclusively at Chinese universities and are known to predominantly hire domestic talent.

A December analysis from Citi GPS projected that the world would be populated by 648 million humanlike bots by 2050,
unlocking an enduring production advantage and immen…

The Chinese robots are coming
China is miles ahead in the race to dominate a technology that could define the 21st century.