Zobrazeno 1 - 10
of 2 347
pro vyhledávání: '"KHAN, AHMAD"'
Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make these methods viable for real-time applications such as AR/VR, gaming
Externí odkaz:
http://arxiv.org/abs/2412.05700
Personalized Federated Learning (pFL) holds immense promise for tailoring machine learning models to individual users while preserving data privacy. However, achieving optimal performance in pFL often requires a careful balancing act between memory o
Externí odkaz:
http://arxiv.org/abs/2409.06805
Estimating treatment effects from observational data is paramount in healthcare, education, and economics, but current deep disentanglement-based methods to address selection bias are insufficiently handling irrelevant variables. We demonstrate in ex
Externí odkaz:
http://arxiv.org/abs/2407.20003
Autor:
Ceraolo, Roberto, Kharlapenko, Dmitrii, Khan, Ahmad, Reymond, Amélie, Mihalcea, Rada, Schölkopf, Bernhard, Sachan, Mrinmaya, Jin, Zhijing
The recent development of Large Language Models (LLMs) has changed our role in interacting with them. Instead of primarily testing these models with questions we already know the answers to, we now use them to explore questions where the answers are
Externí odkaz:
http://arxiv.org/abs/2405.20318
Autor:
Khan, Ahmad Ali, Adve, Raviraj
Improving throughput for cell-edge users through coordinated resource allocation has been a long-standing driver of research in wireless cellular networks. While a variety of wireless resource management problems focus on sum utility, max-min utility
Externí odkaz:
http://arxiv.org/abs/2403.16344
Autor:
Khan, Ahmad Ali, Adve, Raviraj
Part I of this two-part paper focused on the formulation of percentile problems, complexity analysis, and development of power control algorithms via the quadratic fractional transform (QFT) and logarithmic fractional transform (LFT) for sum-least-qt
Externí odkaz:
http://arxiv.org/abs/2403.16343
Publikováno v:
Emerald Emerging Markets Case Studies, 2024, Vol. 14, Issue 4, pp. 1-35.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EEMCS-12-2022-0543