Zobrazeno 1 - 10
of 6 521
pro vyhledávání: '"Kandasamy, P."'
We study a collaborative learning problem where $m$ agents estimate a vector $\mu\in\mathbb{R}^d$ by collecting samples from normal distributions, with each agent $i$ incurring a cost $c_{i,k} \in (0, \infty]$ to sample from the $k^{\text{th}}$ distr
Externí odkaz:
http://arxiv.org/abs/2407.15881
We study a data pricing problem, where a seller has access to $N$ homogeneous data points (e.g. drawn i.i.d. from some distribution). There are $m$ types of buyers in the market, where buyers of the same type $i$ have the same valuation curve $v_i:[N
Externí odkaz:
http://arxiv.org/abs/2407.05484
Autor:
Huh, Joon Suk, Kandasamy, Kirthevasan
We study a multi-round mechanism design problem, where we interact with a set of agents over a sequence of rounds. We wish to design an incentive-compatible (IC) online learning scheme to maximize an application-specific objective within a given clas
Externí odkaz:
http://arxiv.org/abs/2407.04898
Autor:
Kandasamy, Saravanan, Nagaraj, Dheeraj
Langevin Dynamics is a Stochastic Differential Equation (SDE) central to sampling and generative modeling and is implemented via time discretization. Langevin Monte Carlo (LMC), based on the Euler-Maruyama discretization, is the simplest and most stu
Externí odkaz:
http://arxiv.org/abs/2405.17068
A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
Autor:
Matinizadeh, Shadi, Pacik-Nelson, Noah, Polykretis, Ioannis, Tishbi, Krupa, Kumar, Suman, Varshika, M. L., Mohammadhassani, Arghavan, Mishra, Abhishek, Kandasamy, Nagarajan, Shackleford, James, Gallo, Eric, Das, Anup
We introduce QUANTISENC, a fully configurable open-source software-defined digital quantized spiking neural core architecture to advance research in neuromorphic computing. QUANTISENC is designed hierarchically using a bottom-up methodology with mult
Externí odkaz:
http://arxiv.org/abs/2404.02248
We study a sequential profit-maximization problem, optimizing for both price and ancillary variables like marketing expenditures. Specifically, we aim to maximize profit over an arbitrary sequence of multiple demand curves, each dependent on a distin
Externí odkaz:
http://arxiv.org/abs/2403.01361
Windowing is a common technique in EEG machine learning classification and other time series tasks. However, a challenge arises when employing this technique: computational expense inhibits learning global relationships across an entire recording or
Externí odkaz:
http://arxiv.org/abs/2401.10283
Autor:
Anirudh V Mutalik, Praveen Duraisamy, Senthilkumaran Kandasamy, S. Jeevithan, Chinnusamy Kaliannan
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 10, Pp 1006-1013 (2024)
Introduction: Acquiring fundamental procedural skills is crucial for medical graduates to ensure patient safety. Traditional teaching methods may compromise safety, leading to the rise of Simulation-based Medical Education (SBME) and video-based inst
Externí odkaz:
https://doaj.org/article/5e78c94b4fed4990a5fec6ba5e655e4a
Autor:
Esha Baidya Kayal, Shuvadeep Ganguly, Devasenathipathy Kandasamy, Kedar Khare, Raju Sharma, Sameer Bakhshi, Amit Mehndiratta
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Objective was to assess the precision and reproducibility of spatial penalty-based intravoxel incoherent motion (IVIM) methods in comparison to the conventional bi-exponential (BE) model-based IVIM methods. IVIM-MRI (11 b-values; 0–800 s/m
Externí odkaz:
https://doaj.org/article/4228047aed044d1eb542ba641a26ffd7
Autor:
Rohit Bhowmick, Sasidaran Kandasamy
Publikováno v:
Journal of Pediatric Critical Care, Vol 11, Iss 5, Pp 227-232 (2024)
Toxic and prescribed drug ingestions are a significant cause of pediatric morbidity and mortality. Management of the poisoned patient begins with a thorough evaluation, identification of the agent(s) involved, and assessment of severity and symptoms.
Externí odkaz:
https://doaj.org/article/4b7a75b244b4451dafb53de5eb191acc