Zobrazeno 1 - 10
of 2 613
pro vyhledávání: '"Janardhan, P"'
Publikováno v:
IEEE SSRR 2024
In the high-stakes domain of search-and-rescue missions, the deployment of Unmanned Aerial Vehicles (UAVs) has become increasingly pivotal. These missions require seamless, real-time communication among diverse roles within response teams, particular
Externí odkaz:
http://arxiv.org/abs/2410.12556
Autor:
Pfromm, Lukas, Kanani, Alish, Sharma, Harsh, Solanki, Parth, Tervo, Eric, Park, Jaehyun, Doppa, Janardhan Rao, Pande, Partha Pratim, Ogras, Umit Y.
Rapidly evolving artificial intelligence and machine learning applications require ever-increasing computational capabilities, while monolithic 2D design technologies approach their limits. Heterogeneous integration of smaller chiplets using a 2.5D s
Externí odkaz:
http://arxiv.org/abs/2410.09188
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep learning approaches for MILP focus on specific problem
Externí odkaz:
http://arxiv.org/abs/2410.08288
In this work, we propose a generalization to the classical logistic map. The generalized map preserves most properties of the classical map and has richer dynamics as it contains the fractional order and one more parameter. We propose the stability b
Externí odkaz:
http://arxiv.org/abs/2409.07174
Autor:
Ramachandran, R, Sil, Milan, Gorai, Prasanta, Meka, J K, Pavithraa, S, Lo, J -I, Chou, S -L, Wu, Y -J, Janardhan, P, Cheng, B -M, Bhardwaj, Anil, Rivilla, Vıctor M., Mason, N J, Sivaraman, B, Das, Ankan
Ethanolamine (NH2CH2CH2OH) has recently been identified in the molecular cloud G+0.693-0.027, situated in the SgrB2 complex in the Galactic center. However, its presence in other regions, and in particular in star-forming sites, is still elusive. Giv
Externí odkaz:
http://arxiv.org/abs/2409.01307
Transformers have revolutionized deep learning and generative modeling to enable unprecedented advancements in natural language processing tasks and beyond. However, designing hardware accelerators for executing transformer models is challenging due
Externí odkaz:
http://arxiv.org/abs/2408.03397
Autor:
Belakaria, Syrine, Letham, Benjamin, Doppa, Janardhan Rao, Engelhardt, Barbara, Ermon, Stefano, Bakshy, Eytan
Publikováno v:
Conference on Neural Information Processing Systems, 2024
We consider the problem of active learning for global sensitivity analysis of expensive black-box functions. Our aim is to efficiently learn the importance of different input variables, e.g., in vehicle safety experimentation, we study the impact of
Externí odkaz:
http://arxiv.org/abs/2407.09739
In recent years, insider threats and attacks have been increasing in terms of frequency and cost to the corporate business. The utilization of end-to-end encrypted instant messaging applications (WhatsApp, Telegram, VPN) by malicious insiders raised
Externí odkaz:
http://arxiv.org/abs/2406.09005
We consider the problem of multi-objective optimization (MOO) of expensive black-box functions with the goal of discovering high-quality and diverse Pareto fronts where we are allowed to evaluate a batch of inputs. This problem arises in many real-wo
Externí odkaz:
http://arxiv.org/abs/2406.08799
Conformal prediction (CP) is an emerging uncertainty quantification framework that allows us to construct a prediction set to cover the true label with a pre-specified marginal or conditional probability. Although the valid coverage guarantee has bee
Externí odkaz:
http://arxiv.org/abs/2406.06818