Zobrazeno 1 - 10
of 86 637
pro vyhledávání: '"Kannan, A"'
Local Hamiltonian Problems (LHPs) are important problems that are computationally QMA-complete and physically relevant for many-body quantum systems. Quantum MaxCut (QMC), which equates to finding ground states of the quantum Heisenberg model, is the
Externí odkaz:
http://arxiv.org/abs/2412.09221
Autor:
Kannan, Kamala Devi, Jagatheesaperumal, Senthil Kumar, Kandala, Rajesh N. V. P. S., Lotfaliany, Mojtaba, Alizadehsanid, Roohallah, Mohebbi, Mohammadreza
For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) has started playing a significant role. By evaluating complex data from imaging, genetics, and behavior
Externí odkaz:
http://arxiv.org/abs/2412.06147
Autor:
Ma, Luyi, Padmanabhan, Aashika, Ganesh, Anjana, Tang, Shengwei, Chen, Jiao, Li, Xiaohan, Morishetti, Lalitesh, Nag, Kaushiki, Patel, Malay, Cho, Jason, Kumar, Sushant, Achan, Kannan
Online e-commerce platforms have been extending in-store shopping, which allows users to keep the canonical online browsing and checkout experience while exploring in-store shopping. However, the growing transition between online and in-store becomes
Externí odkaz:
http://arxiv.org/abs/2412.02122
Autor:
Ivanov, Mikhail M., Cuesta-Lazaro, Carolina, Obuljen, Andrej, Toomey, Michael W., Ni, Yueying, Bose, Sownak, Hadzhiyska, Boryana, Hernández-Aguayo, César, Hernquist, Lars, Kannan, Rahul, Springel, Volker
Cosmological analyses of redshift space clustering data are primarily based on using luminous ``red'' galaxies (LRGs) and ``blue'' emission line galaxies (ELGs) to trace underlying dark matter. Using the large high-fidelity high-resolution Millennium
Externí odkaz:
http://arxiv.org/abs/2412.01888
Recent observations from the James Webb Space Telescope (JWST) have uncovered an unexpectedly large abundance of massive, UV-bright galaxies at high redshifts $z \gtrsim 10$, presenting a significant challenge to established galaxy formation models w
Externí odkaz:
http://arxiv.org/abs/2412.00182
A path for efficient classical simulation of the DQC1 circuit that estimates the trace of an implementable unitary under the zero discord condition [Phys. Rev. Lett. 105, 190502 (2010)] is presented. This result reinforces the status of non-classical
Externí odkaz:
http://arxiv.org/abs/2411.18348
Adversarial training has emerged as an effective approach to train robust neural network models that are resistant to adversarial attacks, even in low-label regimes where labeled data is scarce. In this paper, we introduce a novel semi-supervised adv
Externí odkaz:
http://arxiv.org/abs/2411.17959
Edge detection has been one of the most difficult challenges in computer vision because of the difficulty in identifying the borders and edges from the real-world images including objects of varying kinds and sizes. Methods based on ensemble learning
Externí odkaz:
http://arxiv.org/abs/2411.14868
We explore the melting mechanisms of silver nanowires through molecular dynamics simulations and theoretical modelling, where we observe that two distinct mechanisms or pathways emerge that dictate how the solid-liquid interface melts during the phas
Externí odkaz:
http://arxiv.org/abs/2411.12891
Autor:
V, Pandiyaraju, Malarvannan, Santhosh, Venkatraman, Shravan, A, Abeshek, B, Priyadarshini, A, Kannan
Diabetic retinopathy is a leading cause of blindness around the world and demands precise AI-based diagnostic tools. Traditional loss functions in multi-class classification, such as Categorical Cross-Entropy (CCE), are very common but break down wit
Externí odkaz:
http://arxiv.org/abs/2411.10843