Tootfinder

B-repLer: Semantic B-rep Latent Editor using Large Language Models
Yilin Liu, Niladri Shekhar Dutt, Changjian Li, Niloy J. Mitra
https://arxiv.org/abs/2508.10201 https://…

B-repLer: Semantic B-rep Latent Editor using Large Language Models
Multimodal large language models (mLLMs), trained in a mixed modal setting as a universal model, have been shown to compete with or even outperform many specialized algorithms for imaging and graphics tasks. As demonstrated across many applications, mLLMs' ability to jointly process image and text data makes them suitable for zero-shot applications or efficient fine-tuning towards specialized tasks. However, they have had limited success in 3D analysis and editing tasks. This is due to both the…

Descent problem for certificate of non-negativity on semi-algebraic sets
Manoj K. Keshari, Debapriya Ojha, Niladri Sekhar Patra
https://arxiv.org/abs/2508.07060 https://

Descent problem for certificate of non-negativity on semi-algebraic sets
Let $F$ be a subfield of $\mathbb R$ and let $K$ be a basic closed semi-algebraic set in $\mathbb R$ with $\partial K\subset F$. Let $\mathcal N$ be the natural choice of generators of $K$. We show that if $f\in F[x]$ is $\geq 0$ on $K$, then $f$ can be written as $$f=\sum_{e\in\{0,1\}^s } a_eσ_e g^e $$ where $a_e\in F_{\geq 0}$, $σ_e\in \sum F[x]^2$ and $g^{e}=g_1^{e_1} \cdots g_s^{e_s}$. In other words, the preordering $T_{\mathcal N}$ of $F[x]$ is saturated. In case $F=\mathbb R$, this res…

Connected components of Berkovich fixed point locus
Niladri Patra
https://arxiv.org/abs/2508.07156 https://arxiv.org/pdf/2508.07156

Connected components of Berkovich fixed point locus
Let $\mathbb{P}^{1}_{an}$ be the Berkovich projective line over a complete, algebraically closed, non-Archimedean field of characteristic $0$. Let $ϕ$ be a degree $\geq 2$ rational map with potential good reduction, acting on $\mathbb{P}^{1}_{an}$. In this article, we give an easily verifiable equivalent criterion for the fixed point locus of $ϕ$ to be connected. We also give an equivalent criterion for the fixed point locus of $ϕ$ to be finite. Moreover, we provide a sharp upper bound for t…

Benchmarking Optimization Algorithms for Automated Calibration of Quantum Devices
Kevin Pack, Shai Machnes, Frank K. Wilhelm
https://arxiv.org/abs/2509.08555 https://

Benchmarking Optimization Algorithms for Automated Calibration of Quantum Devices
We present the results of a comprehensive study of optimization algorithms for the calibration of quantum devices. As part of our ongoing efforts to automate bring-up, tune-up, and system identification procedures, we investigate a broad range of optimizers within a simulated environment designed to closely mimic the challenges of real-world experimental conditions. Our benchmark includes widely used algorithms such as Nelder-Mead and the state-of-the-art Covariance Matrix Adaptation Evolution …

Stop Lying to Me: New Visual Tools to Choose the Most Honest Nonlinear Dimension Reduction
Jayani P. Gamage, Dianne Cook, Paul Harrison, Michael Lydeamore
https://arxiv.org/abs/2506.22051

Stop Lying to Me: New Visual Tools to Choose the Most Honest Nonlinear Dimension Reduction
Nonlinear dimension reduction (NLDR) techniques such as tSNE, and UMAP provide a low-dimensional representation of high-dimensional data (\pD{}) by applying a nonlinear transformation. NLDR often exaggerates random patterns. But NLDR views have an important role in data analysis because, if done well, they provide a concise visual (and conceptual) summary of \pD{} distributions. The NLDR methods and hyper-parameter choices can create wildly different representations, making it difficult to deci…

The LHCb Stripping Project: Sustainable Legacy Data Processing for High-Energy Physics
Nathan Grieser, Eduardo Rodrigues, Niladri Sahoo, Shuqi Sheng, Nicole Skidmore, Mark Smith
https://arxiv.org/abs/2509.05294

The LHCb Stripping Project: Sustainable Legacy Data Processing for High-Energy Physics
The LHCb Stripping project is a pivotal component of the experiment's data processing framework, designed to refine vast volumes of collision data into manageable samples for offline analysis. It ensures the re-analysis of Runs 1 and 2 legacy data, maintains the software stack, and executes (re-)Stripping campaigns. As the focus shifts toward newer data sets, the project continues to optimize infrastructure for both legacy and live data processing. This paper provides a comprehensive overview o…

Rosen sind rot, Maskendeals grau,
Spahn sagt: »Ich wusste von nix, ganz genau!«
Die Villa war günstig, ganz ohne Verstand –

Süßer Laptop: Das ist mal eine originelle #Verpackung für #Schokolade. Zum Glück ist selbige nicht so alt wie das gezeigte User Interface MacOS 9 mit zeitgenössischer Website🙈
#Geschenk

Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison
Niladri Halder, Chandra R. Murthy
https://arxiv.org/abs/2508.21373

Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison
We present a unified receiver processing framework for communication over delay-scale (DS)-spread channels that arise in underwater acoustic (UWA) communications that addresses both channel estimation (CE) and data detection for different modulation waveforms, namely OFDM, OTFS, OCDM, and ODSS, through a common input--output relation. Using this framework, we conduct a fair and comprehensive comparative study of these waveforms under DS-spread UWA channels and similar receiver complexities. W…

Experimentally-Driven Analysis of Stability in Connected Vehicle Platooning: Insights and Control Strategies
Niladri Dutta, Elham Abolfazli, Themistoklis Charalambous
https://arxiv.org/abs/2507.23078

Experimentally-Driven Analysis of Stability in Connected Vehicle Platooning: Insights and Control Strategies
This paper presents the development of a tangible platform for demonstrating the practical implementation of cooperative adaptive cruise control (CACC) systems, an enhancement to the standard adaptive cruise control (ACC) concept by means of Vehicle-to-Everything (V2X) communication. It involves a detailed examination of existing longitudinal controllers and their performance in homogeneous vehicle platoons. Moreover, extensive tests are conducted using multiple autonomous experimental vehicle …