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  • Bhattacharyya, Arpan; Das, Saurya; Haque, S. Shajidul; Underwood, Bret (Cornell University Library, 2020-01)
    We compute the quantum circuit complexity of the evolution of scalar curvature perturbations on expanding backgrounds, using the language of squeezed vacuum states. In particular, we construct a simple cosmological model ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2019-12)
    Recently, there is a vast interest in developing methods which are independent of the training samples such as deep image prior, zero-shot learning, and internal learning. The methods above are based on the common goal of ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-11)
    Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These methods are unsupervised and are used to ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input (style and content) images. An efficient strategy would be to define an object map between ...
  • Singh, Shubham Kumar; Miyapuram, Krishna P.; Raman, Shanmuganathan (Cornell University Library, 2019-11)
    Person re-identification aims to associate images of the same person over multiple non-overlapping camera views at different times. Depending on the human operator, manual re-identification in large camera networks is ...
  • Dayal, Pratyush; Misra, Neeldhara (Cornell University Library, 2019-12)
  • Kumawat, Sudhakar; Verma, Manisha; Nakashima, Yuta; Raman, Shanmuganathan (Cornell University Library, 2020-07)
    Conventional 3D convolutional neural networks (CNNs) are computationally expensive, memory intensive, prone to overfitting, and most importantly, there is a need to improve their feature learning capabilities. To address ...
  • Kumawat, Sudhakar; Raman, Shanmuganathan (Cornell University Library, 2020-01)
    In this paper, we propose a new convolutional layer called Depthwise-STFT Separable layer that can serve as an alternative to the standard depthwise separable convolutional layer. The construction of the proposed layer is ...
  • Hanindriyo, Adie Tri; Yadav, Amit Kumar Singh; Ichibha, Tom; Maezono, Ryo; Nakano, Kousuke; Hongo, Kenta (Cornell University Library, 2020-10)
    The disiloxane molecule is a prime example of silicate compounds containing the Si-O-Si bridge, which is of great interest within the field of quantum chemistry, due to the difficulty in theoretically predicting its ...
  • Mastan, Indra Deep; Raman, Shanmuganathan (Cornell University Library, 2020-12)
    We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider the problem by performing style transfer ...
  • Bhattacharjee, Srijit; Kumar, Shailesh; Bhattacharyya, Arpan (Cornell University Library, 2020-11)
    We study the displacement memory effect and its connection with the extended-BMS symmetries near the horizon of black holes. Considering the near-horizon asymptotic metrics, we show there is a permanent shift in the geodesic ...
  • Berezin, Victor; Dharmadarshi, Kushan (Cornell University Library, 2021-02)
    In this thesis, we attempt to gain a more complete insight into Double Layer Theories in Weyl Gravity. In order to do this, we first establish the premise of Weyls Theory, including its provenance, development and flaws. ...
  • Sharma, Anupam Joya; Rai, Ayushi; Subramanyam, Malavika A. (Cold Spring Harbor Laboratory, 2020-07)
  • Rathi, Aditya; G., Rohith; Vadali, Madhu (Cornell University Library, 2021-01)
    Planning collision-free paths for multi-robot systems (MRS) is a challenging problem because of the safety and efficiency constraints required for real-world solutions. Even though coupled path planning approaches provide ...
  • Gopal, Anvita; Sharma, Anupam Joya; Subramanyam, Malavika A. (Cold Spring Harbor Laboratory, 2020-06)
    To curb the spread of the novel coronavirus, India announced a nationwide lockdown on 24th March 2020 for 21 days, later extended for a longer time. This long period of lockdown greatly disrupted routine life and likely ...
  • Banerjee, Suman; Pal, Bithika (Cornell University Library, 2020-04)
    Given a graph, and a set of query vertices (subset of the vertices), the dynamic skyline query problem returns a subset of data vertices (other than query vertices) which are not dominated by other data vertices based on ...
  • Reza, Amit (Cornell University Library, 2020-08)
    Binary neutron stars (BNSs) will spend ?10 -- 15 minutes in the band of Advanced LIGO and Virgo detectors at design sensitivity. Matched-filtering of gravitational-wave (GW) data could in principle accumulate enough ...
  • Banerjee, Suman; Jenamani, Mamata; Pratihar, Dilip Kumar (Cornell University Library, 2020-04)
    Given a social network with nonuniform selection cost of the users, the problem of \textit{Budgeted Influence Maximization} (BIM in short) asks for selecting a subset of the nodes within an allocated budget for initial ...
  • Natwariya, Pravin Kumar; Bhatt, Jitesh R. (Cornell University Library, 2020-01)

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