Tootfinder

I hit a wall inspiration-wise for the last few months to hack on my #homelab. Not entirely sure why that happened, maybe research fatigue from planning for my Japan trip?
Anyway finally got back into it a little bit today as I moved forward on setting up my M4 MacBook Pro. It's been sitting partially configured for months now but spent some time applying my dotfiles config.

Resilience through Automated Adaptive Configuration for Distribution and Replication
Scott D. Stoller, Balaji Jayasankar, Yanhong A. Liu
https://arxiv.org/abs/2506.10248

Resilience through Automated Adaptive Configuration for Distribution and Replication
This paper presents a powerful automated framework for making complex systems resilient under failures, by optimized adaptive distribution and replication of interdependent software components across heterogeneous hardware components with widely varying capabilities. A configuration specifies how software is distributed and replicated: which software components to run on each computer, which software components to replicate, which replication protocols to use, etc. We present an algorithm that,…

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Vishnu Ramineni, Balaji Shesharao Ingole, Nikhil Kumar Pulipeta, Balakrishna Pothineni, Aditya Gupta
https://arxiv.org/abs/2505.24042

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Modern healthcare facilities demand digital accessibility to guarantee equal access to telemedicine platforms, online pharmacy services, and health monitoring devices that can be worn or are handy. With the rising call for the implementation of robust digital healthcare solutions, people with disabilities encounter impediments in their endeavor of managing and getting accustomed to these modern technologies owing to insufficient accessibility features. The paper highlights the role of comprehen…

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
Vishnu Ramineni, Aditya Gupta, Balakrishna Pothineni, Isan Sahoo, Shivareddy Devarapalli, Balaji Shesharao Ingole
https://arxiv.org/abs/2505.24035

Bridging the Gap: Enhancing Digital Accessibility for Medicaid Populations in Telehealth Adoption
The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare services and boost convenience and accessibility. Yet, the Medicaid population encounters several impediments in utilizing facilities especially owing to poor internet connectivity, less awareness about digital platforms, and a shortage of assistive technologies. The paper aims to explicate key factors behind digital accessibility for Medicaid populations and expounds robust solutions to eradicate …

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems
Sadina Kadakkottiri, Narisetty Harish, Nujoom Sageer Karat, Deepthi Paramel Pattathil, Balaji Sundar Rajan
https://arxiv.org/abs/2507.00643

Decentralized Pliable Index Coding For Federated Learning In Intelligent Transportation Systems
Federated Learning is a promising option for data privacy and security in ITS, because it allows edge devices, Road Side Units (RSUs), and Central Server (CS) to jointly train the machine learning model. Since RSU collects data from the vehicles passing through its range, the local data of each RSU will have a non-IID distribution, which adversely affects the convergence speed and accuracy of FL training. Generating synthetic data locally at individual nodes, followed by data shuffling among th…

Time Invariant Sensor Tasking for Catalog Maintenance of LEO Space objects using Stochastic Geometry
Partha Chowdhury, Harsha M, Chinni Prabhunath Georg, Arun Balaji Buduru, Sanat K Biswas
https://arxiv.org/abs/2507.00076

Time Invariant Sensor Tasking for Catalog Maintenance of LEO Space objects using Stochastic Geometry
Catalog maintenance of space objects by limited number of ground-based sensors presents a formidable challenging task to the space community. This article presents a methodology for time-invariant tracking and surveillance of space objects in low Earth orbit (LEO) by optimally directing ground sensors. Our methodology aims to maximize the expected number of space objects from a set of ground stations by utilizing concepts from stochastic geometry, particularly the Poisson point process. We have…

On a theorem of Narasimhan and Ramanan on deformations
V. Balaji, Y. Pandey
https://arxiv.org/abs/2506.17574 https://arxiv.org/pdf/25…

On a theorem of Narasimhan and Ramanan on deformations
Let $X$ be a smooth projective curve genus at least $3$, over an algebraically closed field $k$ of arbitrary characteristics. Let $\cM$ denote the moduli stack $\cM_X(\cH)$ of $\cH$-torsors on $X$, when $\cH$ {\em quasi-split absolutely simple, simply connected connected group scheme}. Using the theory of parahoric torsors and Hecke correspondences, we describe the cohomology groups $\text{H}^i(\cM, \cT_{_{\cM}}), i = 0,1,2$ and $\text{H}^i(\cM, Ω_{_{\cM}}), i = 0,1,2$ in terms of the curve $X…

Physics-Informed Neural Networks: Bridging the Divide Between Conservative and Non-Conservative Equations
Arun Govind Neelan, Ferdin Sagai Don Bosco, Naveen Sagar Jarugumalli, Suresh Balaji Vedarethinam
https://arxiv.org/abs/2506.22413

Physics-Informed Neural Networks: Bridging the Divide Between Conservative and Non-Conservative Equations
In the realm of computational fluid dynamics, traditional numerical methods, which heavily rely on discretization, typically necessitate the formulation of partial differential equations (PDEs) in conservative form to accurately capture shocks and other discontinuities in compressible flows. Conversely, utilizing non-conservative forms often introduces significant errors near these discontinuities or results in smeared shocks. This dependency poses a considerable limitation, particularly as man…

Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models
Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar, Swarup Ranjan Behera, Priyabrata Mallick, Pailla Balakrishna Reddy, Arun Balaji Buduru, Rajesh Sharma
https://arxiv.org/abs/2506.03364

Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models
In this work, we introduce the task of singing voice deepfake source attribution (SVDSA). We hypothesize that multimodal foundation models (MMFMs) such as ImageBind, LanguageBind will be most effective for SVDSA as they are better equipped for capturing subtle source-specific characteristics-such as unique timbre, pitch manipulation, or synthesis artifacts of each singing voice deepfake source due to their cross-modality pre-training. Our experiments with MMFMs, speech foundation models and mus…

Conformal blocks, parahoric torsors and Borel-Weil-Bott
V. Balaji, Y. Pandey
https://arxiv.org/abs/2506.17573 https://arxiv.org/pdf/2…

Conformal blocks, parahoric torsors and Borel-Weil-Bott
Let $X$ be a smooth projective curve over an algebraically closed field $k$. Let $\mathcal{G}$ be a parahoric group scheme on $X$ as in \cite{pr}. Via the principle of Hecke correspondences, we set-up relationships between the cohomology of lines bundles on various moduli stacks of torsors. This approach gives a proof of \cite[Conjecture 3.7]{pr} for group schemes $\mathcal G$ as above in characteristic zero. This further gives as a consequence, the principle of propagation of vacua. We give a …