Zobrazeno 1 - 10
of 1 026
pro vyhledávání: '"ATTIA, AHMED"'
Creating Automatic Speech Recognition (ASR) systems that are robust and resilient to classroom conditions is paramount to the development of AI tools to aid teachers and students. In this work, we study the efficacy of continued pretraining (CPT) in
Externí odkaz:
http://arxiv.org/abs/2409.14494
We consider robust optimal experimental design (ROED) for nonlinear Bayesian inverse problems governed by partial differential equations (PDEs). An optimal design is one that maximizes some utility quantifying the quality of the solution of an invers
Externí odkaz:
http://arxiv.org/abs/2409.09137
Autor:
Attia, Ahmed
We present a fully probabilistic approach for solving binary optimization problems with black-box objective functions and with budget constraints. In the probabilistic approach, the optimization variable is viewed as a random variable and is associat
Externí odkaz:
http://arxiv.org/abs/2406.05830
Creating Automatic Speech Recognition (ASR) systems that are robust and resilient to classroom conditions is paramount to the development of AI tools to aid teachers and students. In this work, we study the efficacy of continued pretraining (CPT) in
Externí odkaz:
http://arxiv.org/abs/2405.13018
This paper presents a novel centralized, variational data assimilation approach for calibrating transient dynamic models in electrical power systems, focusing on load model parameters. With the increasing importance of inverter-based resources, asses
Externí odkaz:
http://arxiv.org/abs/2311.07676
We propose a new heuristic approach for solving the challenge of determining optimal placements for geomagnetically induced current blocking devices on electrical grids. Traditionally, these determinations are approached by formulating the problem as
Externí odkaz:
http://arxiv.org/abs/2310.09409
The performance of deep learning models depends significantly on their capacity to encode input features efficiently and decode them into meaningful outputs. Better input and output representation has the potential to boost models' performance and ge
Externí odkaz:
http://arxiv.org/abs/2309.09220
Recent advancements in Automatic Speech Recognition (ASR) systems, exemplified by Whisper, have demonstrated the potential of these systems to approach human-level performance given sufficient data. However, this progress doesn't readily extend to AS
Externí odkaz:
http://arxiv.org/abs/2309.07927
Accurate analysis of speech articulation is crucial for speech analysis. However, X-Y coordinates of articulators strongly depend on the anatomy of the speakers and the variability of pellet placements, and existing methods for mapping anatomical lan
Externí odkaz:
http://arxiv.org/abs/2305.10775
Optimal design of experiments for Bayesian inverse problems has recently gained wide popularity and attracted much attention, especially in the computational science and Bayesian inversion communities. An optimal design maximizes a predefined utility
Externí odkaz:
http://arxiv.org/abs/2305.03855