Zobrazeno 1 - 10
of 6 599
pro vyhledávání: '"kumar, Ravi"'
Autor:
Basu, Judhajeet, Kumar, Ravi, Anupama, G. C., Barway, Sudhanshu, Hauschildt, Peter H., Chamoli, Shatakshi, Swain, Vishwajeet, Bhalerao, Varun, Karambelkar, Viraj R., Kasliwal, Mansi M., Das, Kaustav K., Andreoni, Igor, Singh, Avinash, Teja, Rishabh S.
We present a detailed analysis of a slow classical nova in M31 exhibiting multiple peaks in its light curve. Spectroscopic and photometric observations were used to investigate the underlying physical processes. Shock-induced heating events resulting
Externí odkaz:
http://arxiv.org/abs/2411.18215
One of the core pillars of efficient deep learning methods is architectural improvements such as the residual/skip connection, which has led to significantly better model convergence and quality. Since then the residual connection has become ubiquito
Externí odkaz:
http://arxiv.org/abs/2411.07501
Autor:
Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sinha, Amer, Zhang, Chiyuan
We provide new lower bounds on the privacy guarantee of the multi-epoch Adaptive Batch Linear Queries (ABLQ) mechanism with shuffled batch sampling, demonstrating substantial gaps when compared to Poisson subsampling; prior analysis was limited to a
Externí odkaz:
http://arxiv.org/abs/2411.04205
Autor:
Xie, Chulin, Huang, Yangsibo, Zhang, Chiyuan, Yu, Da, Chen, Xinyun, Lin, Bill Yuchen, Li, Bo, Ghazi, Badih, Kumar, Ravi
Large language models (LLMs) achieve good performance on challenging reasoning benchmarks, yet could also make basic reasoning mistakes. This contrasting behavior is puzzling when it comes to understanding the mechanisms behind LLMs' reasoning capabi
Externí odkaz:
http://arxiv.org/abs/2410.23123
We study differential privacy (DP) in a multi-party setting where each party only trusts a (known) subset of the other parties with its data. Specifically, given a trust graph where vertices correspond to parties and neighbors are mutually trusting,
Externí odkaz:
http://arxiv.org/abs/2410.12045
Autor:
Huang, Yangsibo, Liu, Daogao, Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Nasr, Milad, Sinha, Amer, Zhang, Chiyuan
Machine unlearning algorithms, designed for selective removal of training data from models, have emerged as a promising approach to growing privacy concerns. In this work, we expose a critical yet underexplored vulnerability in the deployment of unle
Externí odkaz:
http://arxiv.org/abs/2410.09591
Autor:
Berke, Alex, Bacis, Enrico, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Lassonde, Robin, Manurangsi, Pasin, Syed, Umar
Browser fingerprinting can be used to identify and track users across the Web, even without cookies, by collecting attributes from users' devices to create unique "fingerprints". This technique and resulting privacy risks have been studied for over a
Externí odkaz:
http://arxiv.org/abs/2410.06954
Autor:
Bhaskar, Lalith Kumar, Moharana, Niraja, Holz, Hendrik, Ramachandramoorthy, Rajaprakash, Kumar, K. C. Hari, Kumar, Ravi
Single Crystal Elastic Constants (SECs) are pivotal for understanding material deformation, validating interatomic potentials, and enabling crucial material simulations. The entropy stabilized oxide showcases intriguing properties, underscoring the n
Externí odkaz:
http://arxiv.org/abs/2409.13489
Autor:
Kumar, Ravi, Srivastav, Saurabh Kumar, Roy, Ujjal, Singhal, Ujjawal, Watanabe, K., Taniguchi, T., Singh, Vibhor, Roulleau, P., Das, Anindya
The charge neutrality point of bilayer graphene, denoted as {\nu} = 0 state, manifests competing phases marked by spontaneously broken isospin (spin/valley/layer) symmetries under external magnetic and electric fields. However, due to their electrica
Externí odkaz:
http://arxiv.org/abs/2409.09663
We implement the Fock-space perturbed relativistic coupled-cluster theory to compute the electric dipole polarizability of ground and low lying excited states, and nuclear spin-dependent parity violating transition amplitudes in Cs. Moreover, to chec
Externí odkaz:
http://arxiv.org/abs/2408.04356