Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rathod, Santanu"'
We develop a novel data-driven framework as an alternative to dynamic flux balance analysis, bypassing the demand for deep domain knowledge and manual efforts to formulate the optimization problem. The proposed framework is end-to-end, which trains a
Externí odkaz:
http://arxiv.org/abs/2410.14426
Autor:
Kulkarni, Mihir, Golechha, Satvik, Raj, Rishi, Sreedharan, Jithin, Bhardwaj, Ankit, Rathod, Santanu, Vadera, Bhavin, Kurada, Jayakrishna, Mattoo, Sanjay, Joshi, Rajendra, Rade, Kirankumar, Raval, Alpan
Tuberculosis (TB), an infectious bacterial disease, is a significant cause of death, especially in low-income countries, with an estimated ten million new cases reported globally in $2020$. While TB is treatable, non-adherence to the medication regim
Externí odkaz:
http://arxiv.org/abs/2211.02943
Autor:
Vaze, R., Rathod, Santanu
An unsupervised online streaming model is considered where samples arrive in an online fashion over $T$ slots. There are $M$ classifiers, whose confusion matrices are unknown a priori. In each slot, at most one sample can be labeled by any classifier
Externí odkaz:
http://arxiv.org/abs/2112.01576
Autor:
Rathod, Santanu
In this work we explore multi-arm bandit streaming model, especially in cases where the model faces resource bottleneck. We build over existing algorithms conditioned by limited arm memory at any instance of time. Specifically, we improve the amount
Externí odkaz:
http://arxiv.org/abs/2112.06130
Owing to the growth of interest in Reinforcement Learning in the last few years, gradient based policy control methods have been gaining popularity for Control problems as well. And rightly so, since gradient policy methods have the advantage of opti
Externí odkaz:
http://arxiv.org/abs/2111.15228