Zobrazeno 1 - 10
of 5 474
pro vyhledávání: '"A. Jagadeesan"'
This proposal aims to develop more accurate federated learning (FL) methods with faster convergence properties and lower communication requirements, specifically for forecasting distributed energy resources (DER) such as renewables, energy storage, a
Externí odkaz:
http://arxiv.org/abs/2410.10018
Autor:
Nair, Vineet Jagadeesan
We develop improved physics-informed neural networks (PINNs) for high-order and high-dimensional power system models described by nonlinear ordinary differential equations. We propose some novel enhancements to improve PINN training and accuracy and
Externí odkaz:
http://arxiv.org/abs/2410.07527
Emerging marketplaces for large language models and other large-scale machine learning (ML) models appear to exhibit market concentration, which has raised concerns about whether there are insurmountable barriers to entry in such markets. In this wor
Externí odkaz:
http://arxiv.org/abs/2409.03734
We propose a comprehensive approach to increase the reliability and resilience of future power grids rich in distributed energy resources. Our distributed scheme combines federated learning-based attack detection with a local electricity market-based
Externí odkaz:
http://arxiv.org/abs/2407.11571
We propose a market designed using game theory to optimally utilize the flexibility of distributed energy resources (DERs) like solar, batteries, electric vehicles, and flexible loads. Market agents perform multiperiod optimization to determine their
Externí odkaz:
http://arxiv.org/abs/2406.06844
Autor:
Delaunay, Remi, Zhang, Ruisi, Pedrosa, Filipe C., Feizi, Navid, Sacco, Dianne, Patel, Rajni, Jagadeesan, Jayender
Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions. However, its limited field-of-view, speckle noise, and imaging artifacts make i
Externí odkaz:
http://arxiv.org/abs/2404.16802
As AI systems enter into a growing number of societal domains, these systems increasingly shape and are shaped by user preferences, opinions, and behaviors. However, the design of AI systems rarely accounts for how AI and users shape one another. In
Externí odkaz:
http://arxiv.org/abs/2404.12366
Autor:
Abramsky, Samson, Jagadeesan, Radha
We develop a symmetric monoidal closed category of games, incorporating sums and products, to model quantum computation at higher types. This model is expressive, capable of representing all unitary operators at base types. It is compatible with base
Externí odkaz:
http://arxiv.org/abs/2404.06646
Autor:
Jagadeesan, Radha
Publikováno v:
In Alessandra Palmigiano & Mehrnoosh Sadrzadeh (eds.), Samson Abramsky on Logic and Structure in Computer Science and Beyond. Springer Verlag. pp. 1073-1094 (2023)
We study the desiderata on a model for statistical probabilistic programming languages. We argue that they can be met by a combination of traditional tools, namely open bisimulation and probabilistic simulation.
Externí odkaz:
http://arxiv.org/abs/2403.15570
When deployed in the world, a learning agent such as a recommender system or a chatbot often repeatedly interacts with another learning agent (such as a user) over time. In many such two-agent systems, each agent learns separately and the rewards of
Externí odkaz:
http://arxiv.org/abs/2403.00188