Zobrazeno 1 - 10
of 36 041
pro vyhledávání: '"Oktay, A."'
Autor:
Radha, Santosh Kumar, Goktas, Oktay
Human learning thrives on the ability to learn from mistakes, adapt through feedback, and refine understanding-processes often missing in static machine learning models. In this work, we introduce Composite Learning Units (CLUs) designed to transform
Externí odkaz:
http://arxiv.org/abs/2410.08037
Autor:
Pashaev, Oktay K., Kocak, Aygul
We introduce the super-qubit quantum state, determined by superposition of the zero and the one super-particle states, which can be represented by points on the super-Bloch sphere. In contrast to the one qubit case, the one super-particle state is ch
Externí odkaz:
http://arxiv.org/abs/2410.04361
Autor:
Pashaev, Oktay K.
The Binet-Fibonacci calculus, as $\varphi \varphi'$ - two base quantum calculus, relates Fibonacci derivative with Binet formula of Fibonacci number operator, acting in Fock space of quantum states. It provides a tool to study the Golden oscillator w
Externí odkaz:
http://arxiv.org/abs/2410.04169
Iterative human engagement is a common and effective means of leveraging the advanced language processing power of large language models (LLMs). Using well-structured prompts in a conversational manner, human users can effectively influence an LLM to
Externí odkaz:
http://arxiv.org/abs/2409.12618
Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates visual features from lung ultrasound images with clinical data to enhance
Externí odkaz:
http://arxiv.org/abs/2409.08790
Autor:
Lawless, Connor, Gunluk, Oktay
Clustering is an unsupervised learning task that aims to partition data into a set of clusters. In many applications, these clusters correspond to real-world constructs (e.g., electoral districts, playlists, TV channels) whose benefit can only be att
Externí odkaz:
http://arxiv.org/abs/2409.02963
We apply the variational Monte Carlo method based on neural network quantum states, using a neural autoregressive flow architecture as our ansatz, to determine the ground state wave function of the bosonic SU($N$) Yang-Mills-type two-matrix model at
Externí odkaz:
http://arxiv.org/abs/2409.00398
Interest in communication-avoiding orthogonalization schemes for high-performance computing has been growing recently. This manuscript addresses open questions about the numerical stability of various block classical Gram-Schmidt variants that have b
Externí odkaz:
http://arxiv.org/abs/2408.10109
The identification of artefacts, particularly B-lines, in lung ultrasound (LUS), is crucial for assisting clinical diagnosis, prompting the development of innovative methodologies. While the Cauchy proximal splitting (CPS) algorithm has demonstrated
Externí odkaz:
http://arxiv.org/abs/2407.10667
Autor:
Oktay, Mehmet Can, Magden, Emir Salih
Growing diversity and complexity of on-chip photonic applications requires rapid design of components with state-of-the-art operation metrics. Here, we demonstrate a highly flexible and efficient method for designing several classes of compact and lo
Externí odkaz:
http://arxiv.org/abs/2407.09847