Zobrazeno 1 - 10
of 23 090
pro vyhledávání: '"Askari, A A"'
Autor:
Askari, Mohammad Taha, Lampe, Lutz
Optimizing the input probability distribution of a discrete-time channel is a standard step in the information-theoretic analysis of digital communication systems. Nevertheless, many practical communication systems transmit uniformly and independentl
Externí odkaz:
http://arxiv.org/abs/2412.09581
We address the task of hierarchical multi-label classification (HMC) of scientific documents at an industrial scale, where hundreds of thousands of documents must be classified across thousands of dynamic labels. The rapid growth of scientific public
Externí odkaz:
http://arxiv.org/abs/2412.05137
The Sherrington-Kirkpatrick spin-glass model used the replica symmetry method to find the phase transition of the system. In 1979-1980, Parisi proposed a solution based on replica symmetry breaking (RSB), which allowed him to identify the underlying
Externí odkaz:
http://arxiv.org/abs/2411.04567
Autor:
Ifriqi, Tariq Berrada, Astolfi, Pietro, Hall, Melissa, Askari-Hemmat, Reyhane, Benchetrit, Yohann, Havasi, Marton, Muckley, Matthew, Alahari, Karteek, Romero-Soriano, Adriana, Verbeek, Jakob, Drozdzal, Michal
Large-scale training of latent diffusion models (LDMs) has enabled unprecedented quality in image generation. However, the key components of the best performing LDM training recipes are oftentimes not available to the research community, preventing a
Externí odkaz:
http://arxiv.org/abs/2411.03177
Modern-world robotics involves complex environments where multiple autonomous agents must interact with each other and other humans. This necessitates advanced interactive multi-agent motion planning techniques. Generalized Nash equilibrium(GNE), a s
Externí odkaz:
http://arxiv.org/abs/2410.05554
In the context of few-shot classification, the goal is to train a classifier using a limited number of samples while maintaining satisfactory performance. However, traditional metric-based methods exhibit certain limitations in achieving this objecti
Externí odkaz:
http://arxiv.org/abs/2409.07989
Autor:
Askari, Arian, Meng, Chuan, Aliannejadi, Mohammad, Ren, Zhaochun, Kanoulas, Evangelos, Verberne, Suzan
Existing generative retrieval (GR) approaches rely on training-based indexing, i.e., fine-tuning a model to memorise the associations between a query and the document identifier (docid) of a relevant document. Training-based indexing has three limita
Externí odkaz:
http://arxiv.org/abs/2408.02152
Autor:
Sabouri, Maziar, Ahamed, Shadab, Asadzadeh, Azin, Avval, Atlas Haddadi, Bagheri, Soroush, Arabi, Mohsen, Zakavi, Seyed Rasoul, Askari, Emran, Rasouli, Ali, Aghaee, Atena, Sehati, Mohaddese, Yousefirizi, Fereshteh, Uribe, Carlos, Hajianfar, Ghasem, Zaidi, Habib, Rahmim, Arman
The objective of this study was to develop an automated pipeline that enhances thyroid disease classification using thyroid scintigraphy images, aiming to decrease assessment time and increase diagnostic accuracy. Anterior thyroid scintigraphy images
Externí odkaz:
http://arxiv.org/abs/2407.10336
Autor:
Askari, Mohammad Taha, Lampe, Lutz
We introduce a practical sign-dependent sequence selection metric for probabilistic amplitude shaping and propose a simple method to predict the gains in signal-to-noise ratio (SNR) for sequence selection. The proposed metric provides a $0.5$ dB SNR
Externí odkaz:
http://arxiv.org/abs/2407.09006
Autor:
Kaushik, Pratiik, Askari, Koorosh, Gupta, Saksham, Mohan, Rahul, Skrinak, Kris, Kamyar, Royan, Smarr, Benjamin
Chronotype compares individuals' circadian phase to others. It contextualizes mental health risk assessments and detection of social jet lag, which can hamper mental health and cognitive performance. Existing ways of determining chronotypes, such as
Externí odkaz:
http://arxiv.org/abs/2407.06478