Zobrazeno 1 - 10
of 3 642
pro vyhledávání: '"Khani P"'
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
Existing benchmarks for large language models (LLMs) increasingly struggle to differentiate between top-performing models, underscoring the need for more challenging evaluation frameworks. We introduce MMLU-Pro+, an enhanced benchmark building upon M
Externí odkaz:
http://arxiv.org/abs/2409.02257
Autor:
Afshar, Pardis, Hashembeiki, Sajjad, Khani, Pouya, Fatemizadeh, Emad, Rohban, Mohammad Hossein
Histopathological image analysis is crucial for accurate cancer diagnosis and treatment planning. While deep learning models, especially convolutional neural networks, have advanced this field, their "black-box" nature raises concerns about interpret
Externí odkaz:
http://arxiv.org/abs/2408.16395
Autor:
Khani, Nikhil, Yang, Shuo, Nath, Aniruddh, Liu, Yang, Abbo, Pendo, Wei, Li, Andrews, Shawn, Kula, Maciej, Kahn, Jarrod, Zhao, Zhe, Hong, Lichan, Chi, Ed
Knowledge Distillation (KD) is a powerful approach for compressing a large model into a smaller, more efficient model, particularly beneficial for latency-sensitive applications like recommender systems. However, current KD research predominantly foc
Externí odkaz:
http://arxiv.org/abs/2408.14678
Source Code Authorship Attribution (SCAA) is crucial for software classification because it provides insights into the origin and behavior of software. By accurately identifying the author or group behind a piece of code, experts can better understan
Externí odkaz:
http://arxiv.org/abs/2406.19896
In this paper, we study some non-Riemannian curvature properties of general spherically symmetric Finsler metrics. First, we prove that every general spherically symmetric Finsler metric is semi C-reducible. Then, we find the necessary and sufficient
Externí odkaz:
http://arxiv.org/abs/2406.10578
Reliability management is one of the primary concerns in manycore systems design. Different aging mechanisms such as Negative-Bias Temperature Instability (NBTI), Electromigration (EM), and thermal cycling can reduce the reliability of these systems.
Externí odkaz:
http://arxiv.org/abs/2403.06134
Autor:
Aalipour, Ali, Khani, Alireza
Autonomous vehicles are rapidly evolving and will soon enable the application of large-scale mobility-on-demand (MoD) systems. Managing the fleets of available vehicles, commonly known as "rebalancing," is crucial to ensure that vehicles are distribu
Externí odkaz:
http://arxiv.org/abs/2402.01985
Prompt engineering is a challenging yet crucial task for optimizing the performance of large language models on customized tasks. It requires complex reasoning to examine the model's errors, hypothesize what is missing or misleading in the current pr
Externí odkaz:
http://arxiv.org/abs/2311.05661
Canonical androgen response element motifs are tumor suppressive regulatory elements in the prostate
Autor:
Xuanrong Chen, Michael A. Augello, Deli Liu, Kevin Lin, Alex Hakansson, Martin Sjöström, Francesca Khani, Lesa D. Deonarine, Yang Liu, Jaida Travascio-Green, Jiansheng Wu, Un In Chan, Jude Owiredu, Massimo Loda, Felix Y. Feng, Brian D. Robinson, Elai Davicioni, Andrea Sboner, Christopher E. Barbieri
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The androgen receptor (AR) is central in prostate tissue identity and differentiation, and controls normal growth-suppressive, prostate-specific gene expression. It also drives prostate tumorigenesis when hijacked for oncogenic transcription
Externí odkaz:
https://doaj.org/article/07a68e6011a946bc9d120ecc4b67fc67
