Zobrazeno 1 - 10
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pro vyhledávání: '"Reddy AT"'
Omnichain Web: The Universal Framework for Streamlined Chain Abstraction and Cross-Layer Interaction
The evolution of the Web3 ecosystem has been hindered by fragmented liquidity and limited interoperability across Layer 1 (L1) and Layer 2 (L2) blockchains, which leads to inefficiencies and elevated costs. Omnichain Web addresses these challenges by
Externí odkaz:
http://arxiv.org/abs/2411.10132
Reproducibility in scientific research, particularly within the realm of natural language processing (NLP), is essential for validating and verifying the robustness of experimental findings. This paper delves into the reproduction and evaluation of d
Externí odkaz:
http://arxiv.org/abs/2410.15962
The difficulties of underwater image degradation due to light scattering, absorption, and fog-like particles which lead to low resolution and poor visibility are discussed in this study report. We suggest a sophisticated hybrid strategy that combines
Externí odkaz:
http://arxiv.org/abs/2410.14285
Autor:
Shi, Jiaojian, Heide, Christian, Xu, Haowei, Huang, Yijing, Shen, Yuejun, Guzelturk, Burak, Henstridge, Meredith, Schön, Carl Friedrich, Mangu, Anudeep, Kobayashi, Yuki, Peng, Xinyue, Zhang, Shangjie, May, Andrew F., Reddy, Pooja Donthi, Shautsova, Viktoryia, Taghinejad, Mohammad, Luo, Duan, Hughes, Eamonn, Brongersma, Mark L., Mukherjee, Kunal, Trigo, Mariano, Heinz, Tony F., Li, Ju, Nelson, Keith A., Baldini, Edoardo, Zhou, Jian, Ghimire, Shambhu, Wuttig, Matthias, Reis, David A., Lindenberg, Aaron M.
Important advances have recently been made in the search for materials with complex multi-phase landscapes that host photoinduced metastable collective states with exotic functionalities. In almost all cases so far, the desired phases are accessed by
Externí odkaz:
http://arxiv.org/abs/2411.10131
Recent advancements in session-based recommendation models using deep learning techniques have demonstrated significant performance improvements. While they can enhance model sophistication and improve the relevance of recommendations, they also make
Externí odkaz:
http://arxiv.org/abs/2411.09152
Autor:
Sanghi, Aditya, Khani, Aliasghar, Reddy, Pradyumna, Rampini, Arianna, Cheung, Derek, Malekshan, Kamal Rahimi, Madan, Kanika, Shayani, Hooman
Large-scale 3D generative models require substantial computational resources yet often fall short in capturing fine details and complex geometries at high resolutions. We attribute this limitation to the inefficiency of current representations, which
Externí odkaz:
http://arxiv.org/abs/2411.08017
Vision Transformers and U-Net architectures have been widely adopted in the implementation of Diffusion Models. However, each architecture presents specific challenges while realizing them on-device. Vision Transformers require positional embedding t
Externí odkaz:
http://arxiv.org/abs/2411.06119
Autor:
Saha, Saheli, Banerjee, Debasmita, Ram, Rishi, Reddy, Gowtham, Guha, Debashree, Sarkar, Arnab, Dutta, Bapi, S, Moses ArunSingh, Chakraborty, Suman, Mallick, Indranil
Dose prediction is an area of ongoing research that facilitates radiotherapy planning. Most commercial models utilise imaging data and intense computing resources. This study aimed to predict the dose-volume of rectum and bladder from volumes of targ
Externí odkaz:
http://arxiv.org/abs/2411.05378
Autor:
Dua, Radhika, Saxena, Nikita, Agarwal, Aditi, Wilson, Alex, Singh, Gaurav, Tran, Hoang, Deshpande, Ishan, Kaur, Amandeep, Aggarwal, Gaurav, Nath, Chandan, Basu, Arnab, Batchu, Vishal, Holla, Sharath, Kurle, Bindiya, Missura, Olana, Aggarwal, Rahul, Garg, Shubhika, Shah, Nishi, Singh, Avneet, Tewari, Dinesh, Dondzik, Agata, Adsul, Bharat, Sohoni, Milind, Praveen, Asim Rama, Dangi, Aaryan, Kadivar, Lisan, Abhishek, E, Sudhansu, Niranjan, Hattekar, Kamlakar, Datar, Sameer, Chaithanya, Musty Krishna, Reddy, Anumas Ranjith, Kumar, Aashish, Tirumala, Betala Laxmi, Talekar, Alok
Agricultural landscapes are quite complex, especially in the Global South where fields are smaller, and agricultural practices are more varied. In this paper we report on our progress in digitizing the agricultural landscape (natural and man-made) in
Externí odkaz:
http://arxiv.org/abs/2411.05359
Autor:
Kavuri, Gautam A., Palfree, Jasper, Reddy, Dileep V., Zhang, Yanbao, Bienfang, Joshua C., Mazurek, Michael D., Alhejji, Mohammad A., Siddiqui, Aliza U., Cavanagh, Joseph M., Dalal, Aagam, Abellán, Carlos, Amaya, Waldimar, Mitchell, Morgan W., Stange, Katherine E., Beale, Paul D., Brandão, Luís T. A. N., Booth, Harold, Peralta, René, Nam, Sae Woo, Mirin, Richard P., Stevens, Martin J., Knill, Emanuel, Shalm, Lynden K.
The unpredictability of random numbers is fundamental to both digital security and applications that fairly distribute resources. However, existing random number generators have limitations-the generation processes cannot be fully traced, audited, an
Externí odkaz:
http://arxiv.org/abs/2411.05247