Zobrazeno 1 - 10
of 25 243
pro vyhledávání: '"On, Phung"'
Autor:
Areed, Wala Draidi, Nguyen, Thi Thanh Thao, Do, Kien Quoc, Nguyen, Thinh, Bui, Vinh, Nelson, Elisabeth, Warren, Joshua L., Doan, Quang-Van, Sinh, Nam Vu, Osborne, Nicholas, Richards, Russell, Tran, Nu Quy Linh, Le, Hong, Pham, Tuan, Hung, Trinh Manh, Nghiem, Son, Phung, Hai, Chu, Cordia, Dubrow, Robert, Weinberger, Daniel M., Phung, Dung
The Mekong Delta Region of Vietnam faces increasing dengue risks driven by urbanization, globalization, and climate change. This study introduces a probabilistic forecasting model for predicting dengue incidence and outbreaks with one to three month
Externí odkaz:
http://arxiv.org/abs/2412.15645
With the advent of portable 360{\deg} cameras, panorama has gained significant attention in applications like virtual reality (VR), virtual tours, robotics, and autonomous driving. As a result, wide-baseline panorama view synthesis has emerged as a v
Externí odkaz:
http://arxiv.org/abs/2412.12096
Autor:
Phung-Ngoc, Clémentine, Bousse, Alexandre, De Paepe, Antoine, Dang, Hong-Phuong, Saut, Olivier, Visvikis, Dimitris
This study introduces a novel framework for joint reconstruction of the activity and attenuation (JRAA) in positron emission tomography (PET) using diffusion posterior sampling (DPS), which leverages diffusion models (DMs) to address activity-attenua
Externí odkaz:
http://arxiv.org/abs/2412.11776
Autor:
Schiff, Yair, Sahoo, Subham Sekhar, Phung, Hao, Wang, Guanghan, Boshar, Sam, Dalla-torre, Hugo, de Almeida, Bernardo P., Rush, Alexander, Pierrot, Thomas, Kuleshov, Volodymyr
Diffusion models for continuous data gained widespread adoption owing to their high quality generation and control mechanisms. However, controllable diffusion on discrete data faces challenges given that continuous guidance methods do not directly ap
Externí odkaz:
http://arxiv.org/abs/2412.10193
Webshell attacks are becoming more common, requiring robust detection mechanisms to protect web applications. The dissertation clearly states two research directions: scanning web application source code and analyzing HTTP traffic to detect webshells
Externí odkaz:
http://arxiv.org/abs/2412.05532
Autor:
Alyafeai, Zaid, Pieler, Michael, Teufel, Hannah, Tow, Jonathan, Bellagente, Marco, Phung, Duy, Pinnaparaju, Nikhil, Adithyan, Reshinth, Rocha, Paulo, Zhuravinskyi, Maksym, Riquelme, Carlos
Large Language Models (LLMs) have shown impressive results in multiple domains of natural language processing (NLP) but are mainly focused on the English language. Recently, more LLMs have incorporated a larger proportion of multilingual text to repr
Externí odkaz:
http://arxiv.org/abs/2412.04277
Autor:
Havrilla, Alex, Dai, Andrew, O'Mahony, Laura, Oostermeijer, Koen, Zisler, Vera, Albalak, Alon, Milo, Fabrizio, Raparthy, Sharath Chandra, Gandhi, Kanishk, Abbasi, Baber, Phung, Duy, Iyer, Maia, Mahan, Dakota, Blagden, Chase, Gureja, Srishti, Hamdy, Mohammed, Li, Wen-Ding, Paolini, Giovanni, Ammanamanchi, Pawan Sasanka, Meyerson, Elliot
Synthetic data generation with Large Language Models is a promising paradigm for augmenting natural data over a nearly infinite range of tasks. Given this variety, direct comparisons among synthetic data generation algorithms are scarce, making it di
Externí odkaz:
http://arxiv.org/abs/2412.02980
Data-Free Knowledge Distillation (DFKD) is an advanced technique that enables knowledge transfer from a teacher model to a student model without relying on original training data. While DFKD methods have achieved success on smaller datasets like CIFA
Externí odkaz:
http://arxiv.org/abs/2411.17046
Topic modeling is a fundamental task in natural language processing, allowing the discovery of latent thematic structures in text corpora. While Large Language Models (LLMs) have demonstrated promising capabilities in topic discovery, their direct ap
Externí odkaz:
http://arxiv.org/abs/2411.08534
We introduce a novel state-space architecture for diffusion models, effectively harnessing spatial and frequency information to enhance the inductive bias towards local features in input images for image generation tasks. While state-space networks,
Externí odkaz:
http://arxiv.org/abs/2411.04168