Zobrazeno 1 - 10
of 35 093
pro vyhledávání: '"Raghu A"'
Autor:
Gangaraju Divyashri, Thirupathihalli Pandurangappa Krishna Murthy, Krishnamoorthy Vasanth Ragavan, Gangadhar Mugulurmutt Sumukh, Lingam Sadananda Sudha, Srikanth Nishka, Gupta Himanshi, Nafisa Misriya, Bannappa Sharada, Raghu Anjanapura Venkataramanaiah
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e20212- (2023)
The dry method of coffee processing generates a significant amount of coffee husk, an agricultural waste for which currently there is a lack of profitable use, and their disposal constitutes a major environmental problem. Pectin was extracted from co
Externí odkaz:
https://doaj.org/article/7cdafbc3ca8c48f1b99f23393bfeb5e4
Publikováno v:
Annals of Indian Psychiatry, Vol 7, Iss 1, Pp 30-34 (2023)
Background: Patients with suicide attempts usually present to the emergency department of hospitals, and the attitude of nursing staff and medical personnel plays a major role in their recovery. There is a negative perception and stigma associated wi
Externí odkaz:
https://doaj.org/article/2119c4f2dd3d47a298b3158633c9ed88
Autor:
Pragya Lodha, Anoushka Thakkar, Ankita Gupta, Raghu Appasani, Emmanuel Essien, Alexander Audu
Publikováno v:
Annals of Indian Psychiatry, Vol 6, Iss 4, Pp 355-361 (2022)
Background: The coronavirus pandemic has led to deleterious effects on health, physical, and mental. The pandemic, onset since the end of 2019, has negatively impacted individuals across all sociodemographic variables. The widespread pandemic pushed
Externí odkaz:
https://doaj.org/article/3f744703a2fc48d89e8540909a00ba29
Autor:
Chandrasekaran, Gautam, Klivans, Adam, Kontonis, Vasilis, Meka, Raghu, Stavropoulos, Konstantinos
In traditional models of supervised learning, the goal of a learner -- given examples from an arbitrary joint distribution on $\mathbb{R}^d \times \{\pm 1\}$ -- is to output a hypothesis that is competitive (to within $\epsilon$) of the best fitting
Externí odkaz:
http://arxiv.org/abs/2407.00966
Motivated by applications in emergency response and experimental design, we consider smooth stochastic optimization problems over probability measures supported on compact subsets of the Euclidean space. With the influence function as the variational
Externí odkaz:
http://arxiv.org/abs/2407.00307
Autor:
Abdelaziz, Ibrahim, Basu, Kinjal, Agarwal, Mayank, Kumaravel, Sadhana, Stallone, Matthew, Panda, Rameswar, Rizk, Yara, Bhargav, GP, Crouse, Maxwell, Gunasekara, Chulaka, Ikbal, Shajith, Joshi, Sachin, Karanam, Hima, Kumar, Vineet, Munawar, Asim, Neelam, Sumit, Raghu, Dinesh, Sharma, Udit, Soria, Adriana Meza, Sreedhar, Dheeraj, Venkateswaran, Praveen, Unuvar, Merve, Cox, David, Roukos, Salim, Lastras, Luis, Kapanipathi, Pavan
Large language models (LLMs) have recently shown tremendous promise in serving as the backbone to agentic systems, as demonstrated by their performance in multi-faceted, challenging benchmarks like SWE-Bench and Agent-Bench. However, to realize the t
Externí odkaz:
http://arxiv.org/abs/2407.00121
We study the differentially private (DP) empirical risk minimization (ERM) problem under the semi-sensitive DP setting where only some features are sensitive. This generalizes the Label DP setting where only the label is sensitive. We give improved u
Externí odkaz:
http://arxiv.org/abs/2406.19040
A core component present in many successful neural network architectures, is an MLP block of two fully connected layers with a non-linear activation in between. An intriguing phenomenon observed empirically, including in transformer architectures, is
Externí odkaz:
http://arxiv.org/abs/2406.17989
We study ZZ instanton corrections in the $(2,4k)$ $N=1$ minimal superstring theory with the type 0B GSO projection, which becomes the type 0B $N=1$ super-JT gravity in the $k \to \infty$ limit. Each member of the $(2,4k)$ family of theories has two p
Externí odkaz:
http://arxiv.org/abs/2406.16867
In this paper, we study the adversarial robustness of deep neural networks for classification tasks. We look at the smallest magnitude of possible additive perturbations that can change the output of a classification algorithm. We provide a matrix-th
Externí odkaz:
http://arxiv.org/abs/2406.16200