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Intra-cardiac Echocardiography (ICE) is a crucial imaging modality used in electrophysiology (EP) and structural heart disease (SHD) interventions, providing real-time, high-resolution views from within the heart. Despite its advantages, effective ma
Externí odkaz:
http://arxiv.org/abs/2409.16898
Autor:
Shivakumar, Prashanth Gurunath, Kolehmainen, Jari, Gourav, Aditya, Gu, Yi, Gandhe, Ankur, Rastrow, Ariya, Bulyko, Ivan
Large language models (LLM) have demonstrated the ability to understand human language by leveraging large amount of text data. Automatic speech recognition (ASR) systems are often limited by available transcribed speech data and benefit from a secon
Externí odkaz:
http://arxiv.org/abs/2409.16654
Autor:
Schmude, Johannes, Roy, Sujit, Trojak, Will, Jakubik, Johannes, Civitarese, Daniel Salles, Singh, Shraddha, Kuehnert, Julian, Ankur, Kumar, Gupta, Aman, Phillips, Christopher E, Kienzler, Romeo, Szwarcman, Daniela, Gaur, Vishal, Shinde, Rajat, Lal, Rohit, Da Silva, Arlindo, Diaz, Jorge Luis Guevara, Jones, Anne, Pfreundschuh, Simon, Lin, Amy, Sheshadri, Aditi, Nair, Udaysankar, Anantharaj, Valentine, Hamann, Hendrik, Watson, Campbell, Maskey, Manil, Lee, Tsengdar J, Moreno, Juan Bernabe, Ramachandran, Rahul
Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downs
Externí odkaz:
http://arxiv.org/abs/2409.13598
Among three leptonic mixing angles, $\theta_{23}$ angle, which characterizes the fractional contribution of two flavor eigenstates $\nu_{\mu}$ and $\nu_{\tau}$ to the third mass eigenstate $\nu_3$, is known to be the largest but the least precisely m
Externí odkaz:
http://arxiv.org/abs/2409.11824
The Nernst-Planck model has long served as a foundational framework for understanding the behavior of electrolyte systems. However, inherent deficiencies in this model have spurred the exploration of alternative approaches. In this context, this stud
Externí odkaz:
http://arxiv.org/abs/2409.08746
Autor:
Thebaud, Thomas, Favaro, Anna, Chen, Casey, Chavez, Gabrielle, Moro-Velazquez, Laureano, Butala, Ankur, Dehak, Najim
Motor changes are early signs of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but are often difficult to detect, especially in the early stages. In this work, we examine the behavior of a wide array
Externí odkaz:
http://arxiv.org/abs/2409.08303
Autor:
Ganeriwala, Parth, Bhattacharyya, Siddhartha, Gunther, Sean, Kish, Brian, Khan, Mohammed Abdul Hafeez, Dhadoti, Ankur, Neogi, Natasha
The availability of high-quality datasets play a crucial role in advancing research and development especially, for safety critical and autonomous systems. In this paper, we present AssistTaxi, a comprehensive novel dataset which is a collection of i
Externí odkaz:
http://arxiv.org/abs/2409.06856
Recent research has seen significant interest in methods for concept removal and targeted forgetting in diffusion models. In this paper, we conduct a comprehensive white-box analysis to expose significant vulnerabilities in existing diffusion model u
Externí odkaz:
http://arxiv.org/abs/2409.05668
An important task in high-dimensional statistics is learning the parameters or dependency structure of an undirected graphical model, or Markov random field (MRF). Much of the prior work on this problem assumes access to i.i.d. samples from the MRF d
Externí odkaz:
http://arxiv.org/abs/2409.05284
Autor:
Vashishth, Shikhar, Singh, Harman, Bharadwaj, Shikhar, Ganapathy, Sriram, Asawaroengchai, Chulayuth, Audhkhasi, Kartik, Rosenberg, Andrew, Bapna, Ankur, Ramabhadran, Bhuvana
Representing speech as discrete tokens provides a framework for transforming speech into a format that closely resembles text, thus enabling the use of speech as an input to the widely successful large language models (LLMs). Currently, while several
Externí odkaz:
http://arxiv.org/abs/2409.02384