Zobrazeno 1 - 10
of 36 574
pro vyhledávání: '"A, Oktay"'
This study investigates the dynamics of extreme opinions on social media during the 2023 Israeli-Palestinian conflict, utilising a comprehensive dataset of over 450,000 posts from four Reddit subreddits (r/Palestine, r/Judaism, r/IsraelPalestine, and
Externí odkaz:
http://arxiv.org/abs/2412.10913
In this paper we study a combinatorial reconfiguration problem that involves finding an optimal sequence of swaps to move an initial configuration of tokens that are placed on the vertices of a graph to a final desired one. This problem arises as a c
Externí odkaz:
http://arxiv.org/abs/2411.18581
Different brain imaging modalities offer unique insights into brain function and structure. Combining them enhances our understanding of neural mechanisms. Prior multimodal studies fusing functional MRI (fMRI) and structural MRI (sMRI) have shown the
Externí odkaz:
http://arxiv.org/abs/2410.19774
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 quantum calculus with two bases, as powers of the Golden and the Silver ratio, relates Fibonacci divisor derivative with Binet formula of Fibonacci divisor number operator, acting in Fock space of quantum states.It provides a tool to study the hi
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