Zobrazeno 1 - 10
of 84 938
pro vyhledávání: '"A McDermott"'
Autor:
Oufattole, Nassim, Bergamaschi, Teya, Kolo, Aleksia, Jeong, Hyewon, Gaggin, Hanna, Stultz, Collin M., McDermott, Matthew B. A.
Effective, reliable, and scalable development of machine learning (ML) solutions for structured electronic health record (EHR) data requires the ability to reliably generate high-quality baseline models for diverse supervised learning tasks in an eff
Externí odkaz:
http://arxiv.org/abs/2411.00200
Autor:
Fortman, Margaret A., Harrison, David C., Rodriguez, Ramiro H., Krebs, Zachary J., Han, Sangjun, Jang, Min Seok, McDermott, Robert, Girit, Caglar O., Brar, Victor W.
Josephson junction spectroscopy is a powerful local microwave spectroscopy technique that has promising potential as a diagnostic tool to probe the microscopic origins of noise in superconducting qubits. We present advancements toward realizing Josep
Externí odkaz:
http://arxiv.org/abs/2410.03009
Autor:
Steinberg, Ethan, Wornow, Michael, Bedi, Suhana, Fries, Jason Alan, McDermott, Matthew B. A., Shah, Nigam H.
The growing demand for machine learning in healthcare requires processing increasingly large electronic health record (EHR) datasets, but existing pipelines are not computationally efficient or scalable. In this paper, we introduce meds_reader, an op
Externí odkaz:
http://arxiv.org/abs/2409.09095
This paper introduces a novel training framework called Focused Discriminative Training (FDT) to further improve streaming word-piece end-to-end (E2E) automatic speech recognition (ASR) models trained using either CTC or an interpolation of CTC and a
Externí odkaz:
http://arxiv.org/abs/2408.13008
Autor:
Smith, Trevor R., McDermott, Spencer, Patel, Vatsalkumar, Anthony, Ross, Hedge, Manu, Knights, Andrew P., Lewis, Ryan B.
The explosion of artificial intelligence, possible end of Moore's law, dawn of quantum computing and continued exponential growth of data communications traffic have brought new urgency to the need for laser integration on the diversified Si platform
Externí odkaz:
http://arxiv.org/abs/2408.03253
Autor:
Jajoria, Pushkar, McDermott, James
This study introduces a text-conditioned approach to generating drumbeats with Latent Diffusion Models (LDMs). It uses informative conditioning text extracted from training data filenames. By pretraining a text and drumbeat encoder through contrastiv
Externí odkaz:
http://arxiv.org/abs/2408.02711
Publikováno v:
Transactions on Machine Learning Research (TMLR), 2024
Perturbation robustness evaluates the vulnerabilities of models, arising from a variety of perturbations, such as data corruptions and adversarial attacks. Understanding the mechanisms of perturbation robustness is critical for global interpretabilit
Externí odkaz:
http://arxiv.org/abs/2408.01139
This paper explores a novel paradigm in low-bit (i.e. 4-bits or lower) quantization, differing from existing state-of-the-art methods, by framing optimal quantization as an architecture search problem within convolutional neural networks (ConvNets).
Externí odkaz:
http://arxiv.org/abs/2408.00923
New computational tools for solid-state synthesis recipe design are needed in order to accelerate the experimental realization of novel functional materials proposed by high-throughput materials discovery workflows. This work contributes a cellular a
Externí odkaz:
http://arxiv.org/abs/2407.19124