Tootfinder

J-PLUS: Understanding outlier white dwarfs in the third data release via dimensionality reduction
C. L\'opez-Sanjuan, P. -E. Tremblay, A. del Pino, H. Dom\'inguez S\'anchez, H. V\'azquez Rami\'o, A. Ederoclite, A. J. Cenarro, A. Mar\'in-Franch, B. Anguiano, T. Civera, P. Cruz, J. A. Fern\'andez-Ontiveros, F. M. Jim\'enez-Esteban, A. Rebassa-Mansergas, J. Vega-Ferrero, J. Alcaniz, R. E. Angulo, D. Crist\'obal-Hornillos, R. A. Dupke, C. Hern\'andez…

J-PLUS: Understanding outlier white dwarfs in the third data release via dimensionality reduction
We present the white dwarf catalog derived from the third data release of the Javalambre Photometric Local Universe Survey (J-PLUS DR3), which covers 3284 deg2 using 12 optical filters. A particular focus is given to the classification of outlier sources. We applied a Bayesian fitting process to the 12-band J-PLUS photometry of white dwarf candidates from Gaia EDR3. The derived parameters were effective temperature, surface gravity, and parallax. We used theoretical models from H- and He-domina…

When are safety filters safe? On minimum phase conditions of control barrier functions
Jason J. Choi, Claire J. Tomlin, Shankar Sastry, Koushil Sreenath
https://arxiv.org/abs/2508.07684

When are safety filters safe? On minimum phase conditions of control barrier functions
In emerging control applications involving multiple and complex tasks, safety filters are gaining prominence as a modular approach to enforcing safety constraints. Among various methods, control barrier functions (CBFs) are widely used for designing safety filters due to their simplicity, imposing a single linear constraint on the control input at each state. In this work, we focus on the internal dynamics of systems governed by CBF-constrained control laws. Our key observation is that, althoug…

Newton-Flow Particle Filters based on Generalized Cram\'er Distance
Uwe D. Hanebeck
https://arxiv.org/abs/2509.00182 https://arxiv.org/pdf/2509.00182…

Newton-Flow Particle Filters based on Generalized Cramér Distance
We propose a recursive particle filter for high-dimensional problems that inherently never degenerates. The state estimate is represented by deterministic low-discrepancy particle sets. We focus on the measurement update step, where a likelihood function is used for representing the measurement and its uncertainty. This likelihood is progressively introduced into the filtering procedure by homotopy continuation over an artificial time. A generalized Cramér distance between particle sets is der…

Bessel beams, propagationally invariant beams, and axicons: An historical and tutorial review
Colin J. R. Sheppard
https://arxiv.org/abs/2509.06354 https://

Bessel beams, propagationally invariant beams, and axicons: An historical and tutorial review
The Bessel beam is discussed, including its historical development. We present the relationship with the Arago Spot, annular pupils, axicons and pupil filters. We also discuss Bessel-Gauss beams; higher order Bessel beams; electromagnetic polarization properties; waveguide and resonator modes; polychromatic and pulsed beams; one-dimensional Airy beams; extended depth of focus; and light sheets and photonic nanojets.

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
Renmiao Chen, Shiyao Cui, Xuancheng Huang, Chengwei Pan, Victor Shea-Jay Huang, QingLin Zhang, Xuan Ouyang, Zhexin Zhang, Hongning Wang, Minlie Huang
https://arxiv.org/abs/2508.05087

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
Jailbreak attacks against multimodal large language Models (MLLMs) are a significant research focus. Current research predominantly focuses on maximizing attack success rate (ASR), often overlooking whether the generated responses actually fulfill the attacker's malicious intent. This oversight frequently leads to low-quality outputs that bypass safety filters but lack substantial harmful content. To address this gap, we propose JPS, \underline{J}ailbreak MLLMs with collaborative visual \underl…

Efficient Sub-pixel Motion Compensation in Learned Video Codecs
Th\'eo Ladune, Thomas Leguay, Pierrick Philippe, Gordon Clare, F\'elix Henry
https://arxiv.org/abs/2507.21926

Efficient Sub-pixel Motion Compensation in Learned Video Codecs
Motion compensation is a key component of video codecs. Conventional codecs (HEVC and VVC) have carefully refined this coding step, with an important focus on sub-pixel motion compensation. On the other hand, learned codecs achieve sub-pixel motion compensation through simple bilinear filtering. This paper offers to improve learned codec motion compensation by drawing inspiration from conventional codecs. It is shown that the usage of more advanced interpolation filters, block-based motion info…