Tootfinder

Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data
Anisha R. V. Kashyap, D. Pawar, R. Misra, G. Ambika, Sandip V George
https://arxiv.org/abs/2506.04111

Dynamically derived morphology from the recurrence patterns of close binary stars using Kepler data
In this work, we propose a novel method to classify close binary stars, derived from the dynamical structure inherent in their light curves. We apply the technique to light curves of binaries from the revised Kepler Eclipsing binary catalog, selecting close binaries which have the standard morphology parameter, $c$, $\gt 0.5$ corresponding to semi-detached, over-contact and ellipsoidal systems. Using the method of time delay embedding, we recreate the non-linear dynamics underlying the data and…

Generalizable, real-time neural decoding with hybrid state-space models
Avery Hee-Woon Ryoo, Nanda H. Krishna, Ximeng Mao, Mehdi Azabou, Eva L. Dyer, Matthew G. Perich, Guillaume Lajoie
https://arxiv.org/abs/2506.05320

Generalizable, real-time neural decoding with hybrid state-space models
Real-time decoding of neural activity is central to neuroscience and neurotechnology applications, from closed-loop experiments to brain-computer interfaces, where models are subject to strict latency constraints. Traditional methods, including simple recurrent neural networks, are fast and lightweight but often struggle to generalize to unseen data. In contrast, recent Transformer-based approaches leverage large-scale pretraining for strong generalization performance, but typically have much l…

"Strada is seeking to use state housing laws that will both streamline approvals for the development and allow for denser construction — in exchange for the inclusion of affordable units.""
Yes, inclusion of affordable units at a lower rate than San Francisco's existing inclusionary requirements, and well below the level of induced demand per SF Planning's Residential Nexus studies. In other words, it creates even more stress in the affordable housing segment.…

SoMa housing plan ‘encouraging’ to boosters
Proposal would develop long-vacant lot.

"Strada is seeking to use state housing laws that will both streamline approvals for the development and allow for denser construction — in exchange for the inclusion of affordable units.""
Yes, inclusion of affordable units at a lower rate than San Francisco's existing inclusionary requirements, and well below the level of induced demand per SF Planning's Residential Nexus studies. In other words, it creates even more stress in the affordable housing segment.…

SoMa housing plan ‘encouraging’ to boosters
Proposal would develop long-vacant lot.

This https://arxiv.org/abs/2506.01226 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN
We study parameterizations of stabilizing nonlinear policies for learning-based control. We propose a structure based on a nonlinear version of the Youla-Kučera parameterization combined with robust neural networks such as the recurrent equilibrium network (REN). The resulting parameterizations are unconstrained, and hence can be searched over with first-order optimization methods, while always ensuring closed-loop stability by construction. We study the combination of (a) nonlinear dynamics, …

Analyzing Line-of-sight selection biases in galaxy-scale strong lensing with external convergence and shear
Xianzhe TZ Tang, Simon Birrer, Anowar J. Shajib, Narayan Khadka, the LSST Strong Gravitational Lensing Science Collaboration, the LSST Dark Energy Science Collaboration
https://arxiv.org/abs/2506.04201

Analyzing Line-of-sight selection biases in galaxy-scale strong lensing with external convergence and shear
The upcoming Vera Rubin Observatory Legacy Survey of Space and Time (LSST) will dramatically increase the number of strong gravitational lensing systems, requiring precise modeling of line-of-sight (LOS) effects to mitigate biases in lensing observations and cosmological inferences. We develop a method to construct joint distributions of external convergence ($κ_{\mathrm{ext}}$) and shear ($γ_{\mathrm{ext}}$) for strong lensing LOS by aggregating large-scale structure simulations with high-re…

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
Andr\'as Strausz, Niels Pardon, Ioana Giurgiu
https://arxiv.org/abs/2506.02802 http…

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
Lakehouse systems enable the same data to be queried with multiple execution engines. However, selecting the engine best suited to run a SQL query still requires a priori knowledge of the query computational requirements and an engine capability, a complex and manual task that only becomes more difficult with the emergence of new engines and workloads. In this paper, we address this limitation by proposing a cross-engine optimizer that can automate engine selection for diverse SQL queries throu…

This https://arxiv.org/abs/2503.19449 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

VecTrans: Enhancing Compiler Auto-Vectorization through LLM-Assisted Code Transformations
Auto-vectorization is a fundamental optimization for modern compilers to exploit SIMD parallelism. However, state-of-the-art approaches still struggle to handle intricate code patterns, often requiring manual hints or domain-specific expertise. Large language models (LLMs), with their ability to capture intricate patterns, provide a promising solution, yet their effective application in compiler optimizations remains an open challenge due to issues such as hallucinations and a lack of domain-sp…

One of the constant recurring topics on social media are stories of someone saying they don’t wash their legs, or they don’t use a washcloth, or they don’t take showers for a week. I wrote about why those stories always blow up. https://www.anildash.com/2025/05/29/who-is-clean/…

Who washes their hands?
A blog about making culture. Since 1999.

This https://arxiv.org/abs/2504.09712 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

The Structural Safety Generalization Problem
LLM jailbreaks are a widespread safety challenge. Given this problem has not yet been tractable, we suggest targeting a key failure mechanism: the failure of safety to generalize across semantically equivalent inputs. We further focus the target by requiring desirable tractability properties of attacks to study: explainability, transferability between models, and transferability between goals. We perform red-teaming within this framework by uncovering new vulnerabilities to multi-turn, multi-im…