Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Chakraborty, Ayan"'
In this paper, we investigate the impact of scalar fluctuations ($\chi$) non-minimally coupled to gravity, $\xi\chi^2 R$, as a potential source of secondary gravitational waves (SGWs). Our study reveals that when reheating EoS $\wre < 1/3$ and $\xi \
Externí odkaz:
http://arxiv.org/abs/2408.07767
Autor:
Harma, Simla Burcu, Chakraborty, Ayan, Kostenok, Elizaveta, Mishin, Danila, Ha, Dongho, Falsafi, Babak, Jaggi, Martin, Liu, Ming, Oh, Yunho, Subramanian, Suvinay, Yazdanbakhsh, Amir
The increasing size of deep neural networks necessitates effective model compression to improve computational efficiency and reduce their memory footprint. Sparsity and quantization are two prominent compression methods that have individually demonst
Externí odkaz:
http://arxiv.org/abs/2405.20935
Autor:
Chakraborty, Ayan, Maity, Debaprasad
The phenomena of Squeezing and chaos have recently been studied in the context of inflation. We apply this formalism in the post-inflationary preheating phase. During this phase, inflaton field undergoes quasi-periodic oscillation, which acts as a dr
Externí odkaz:
http://arxiv.org/abs/2309.10116
Throughput Prediction is one of the primary preconditions for the uninterrupted operation of several network-aware mobile applications, namely video streaming. Recent works have advocated using Machine Learning (ML) and Deep Learning (DL) for cellula
Externí odkaz:
http://arxiv.org/abs/2307.04819
We are in the era of precision cosmology which offers us a unique opportunity to investigate beyond standard model physics. Toward this endeavor, inflaton is assumed to be a perfect new physics candidate. In this submission, we explore the phenomenol
Externí odkaz:
http://arxiv.org/abs/2304.13637
Autor:
Harma, Simla Burcu, Chakraborty, Ayan, Sperry, Nicholas, Falsafi, Babak, Jaggi, Martin, Oh, Yunho
The unprecedented demand for computing resources to train DNN models has led to a search for minimal numerical encoding. Recent state-of-the-art (SOTA) proposals advocate for multi-level scaled narrow bitwidth numerical formats. In this paper, we sho
Externí odkaz:
http://arxiv.org/abs/2211.10737
Modeling fracture is computationally expensive even in computational simulations of two-dimensional problems. Hence, scaling up the available approaches to be directly applied to large components or systems crucial for real applications become challe
Externí odkaz:
http://arxiv.org/abs/2207.02307
Deep learning has shown successful application in visual recognition and certain artificial intelligence tasks. Deep learning is also considered as a powerful tool with high flexibility to approximate functions. In the present work, functions with de
Externí odkaz:
http://arxiv.org/abs/2112.11360
Exploring the limits of an Analog and Mixed Signal (AMS) circuit by driving appropriate inputs has been a serious challenge to the industry. Doing an exhaustive search of the entire input state space is a time-consuming exercise and the returns to ef
Externí odkaz:
http://arxiv.org/abs/2104.14785
Autor:
Chakraborty, Ayan, Saha, Indranil
We propose a framework for synthesizing a feedback control policy that maximizes the region of attraction (ROA) of a closed-loop nonlinear dynamical system. Our synthesis technique relies on stochastic optimization, which involves computation of an o
Externí odkaz:
http://arxiv.org/abs/1911.03870