Tootfinder

Sequential estimation of disturbed aerodynamic flows from sparse measurements via a reduced latent space
Hanieh Mousavi, Anya Jones, Jeff Eldredge
https://arxiv.org/abs/2509.03795

Sequential estimation of disturbed aerodynamic flows from sparse measurements via a reduced latent space
This work presents a fast, scalable, and uncertainty-aware methodology for real-time estimation of key aerodynamic states, including instantaneous vorticity fields and aerodynamic loads, during severe gust encounters where strong flow separation and vortex-gust interactions dominate the dynamics. The methodology, trained and tested on high-fidelity simulations of two-dimensional wing-gust encounters with sparse pressure data, combines physics-based ensemble filtering with data-driven surrogate …

GEM: A Gym for Agentic LLMs
Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin
https://arxiv.org/abs/2510.01051

GEM: A Gym for Agentic LLMs
The training paradigm for large language models (LLMs) is moving from static datasets to experience-based learning, where agents acquire skills via interacting with complex environments. To facilitate this transition we introduce GEM (General Experience Maker), an open-source environment simulator designed for the age of LLMs. Analogous to OpenAI-Gym for traditional reinforcement learning (RL), GEM provides a standardized framework for the environment-agent interface, including asynchronous vec…

Q&A: Rodney Benson, one of four authors of How Media Ownership Matters, on which ownership models for news lead to strong journalism and business outcomes (Dr. Anya Schiffrin/Columbia Journalism Review)
https://www.cjr.org/the-interview/rodney-b

A WHAT BURGER
#anime #food

MARCOS: Deep Thinking by Markov Chain of Continuous Thoughts
Jiayu Liu, Zhenya Huang, Anya Sims, Enhong Chen, Yee Whye Teh, Ning Miao
https://arxiv.org/abs/2509.25020 https://…

MARCOS: Deep Thinking by Markov Chain of Continuous Thoughts
The current paradigm for reasoning in large language models (LLMs) involves models "thinking out loud" via a sequence of tokens, known as chain-of-thought (CoT). This approach, while effective, has several significant drawbacks. Firstly, inference requires autoregressive generation of often thousands of CoT tokens, which is slow and computationally expensive. Secondly, it constrains reasoning to the discrete space of tokens, creating an information bottleneck across reasoning steps. Thirdly, it…

Q&A: Rodney Benson, one of four authors of How Media Ownership Matters, on which ownership models for news lead to strong journalism and business outcomes (Dr. Anya Schiffrin/Columbia Journalism Review)
https://www.cjr.org/the-interview/rodney-b

Rodney Benson on the Value of Publicly Backed Journalism
A recent book suggests American media can learn from European ownership structures.

Exploring the Relationship Between Swift Short Gamma-Ray Burst Afterglows and their Host Galaxy Properties
Cristian Castrejon (Northwestern, CIERA), Anya E. Nugent, Wen-fai Fong, Genevieve Schroeder, Alicia Rouco Escorial, Olivia Guerra
https://arxiv.org/abs/2508.20156

Exploring the Relationship Between Swift Short Gamma-Ray Burst Afterglows and their Host Galaxy Properties
We present a comprehensive compilation of short-duration gamma-ray burst (GRB) afterglows in the X-ray, optical, and radio bands, comprising 150 events discovered primarily by the Neil Gehrels Swift Observatory over 2005-2023. We pair these observations with uniformly modeled host galaxies to understand how broadband afterglow luminosities are influenced by their environmental properties. We compare the X-ray and optical afterglow luminosities at 3 hr with projected physical and host-normalized…

Wave erosion of ice cliffs: melt rate due to reflection of non-breaking surface waves
Anya Wolterman, Till J. W. Wagner, Lucas K. Zoet, Nimish Pujara
https://arxiv.org/abs/2509.01589

Wave erosion of ice cliffs: melt rate due to reflection of non-breaking surface waves
Wave erosion of ice cliffs is one of the main mechanisms for waterline ice melt for icebergs, glacier fronts, and ice-shelf fronts. Despite its importance, this process is fundamentally not well understood or extensively tested in controlled experiments, and therefore coarsely parameterized in geophysical and climate models. In this study, we examine the melting of a vertical ice wall caused by surface waves using both theory and laboratory experiments, with an emphasis on the flow-induced heat…

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems
Anya Katsevich, Vladimir Spokoiny
https://arxiv.org/abs/2509.07952 h…

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems
The Laplace approximation (LA) to posteriors is a ubiquitous tool to simplify Bayesian computation, particularly in the high-dimensional settings arising in Bayesian inverse problems. Precisely quantifying the LA accuracy is a challenging problem in the high-dimensional regime. We develop a theory of the LA accuracy to high-dimensional posteriors which both subsumes and unifies a number of results in the literature. The primary advantage of our theory is that we introduce a new degree of flexib…

Characterizing Supernovae Host Galaxies with FrankenBlast: A Scalable Tool for Transient Host Galaxy Association, Photometry, and Stellar Population Modeling
Anya E. Nugent, V. Ashley Villar, Alex Gagliano, David O. Jones, Asaf Horowicz, Kaylee de Soto, Bingjie Wang, Ben Margalit
https://arxiv.org/abs/2509.08874

Characterizing Supernovae Host Galaxies with FrankenBlast: A Scalable Tool for Transient Host Galaxy Association, Photometry, and Stellar Population Modeling
We present FrankenBlast, a customized and improved version of the Blast web application. FrankenBlast associates transients to their host galaxies, performs host photometry, and runs a innovative SED fitting code to constrain host stellar population properties--all within minutes per object. We test FrankenBlast on 14,432 supernovae (SNe), ~half of which are spectroscopically-classified, and are able to constrain host properties for 9262 events. When contrasting the host stellar masses ($M_*$),…