Zobrazeno 1 - 10
of 10 963
pro vyhledávání: '"A. Morrill"'
Autor:
Morrill, Todd, Deng, Zhaoyuan, Chen, Yanda, Ananthram, Amith, Leach, Colin Wayne, McKeown, Kathleen
There are many settings where it is useful to predict and explain the success or failure of a dialogue. Circumplex theory from psychology models the social orientations (e.g., Warm-Agreeable, Arrogant-Calculating) of conversation participants and can
Externí odkaz:
http://arxiv.org/abs/2403.04770
Autor:
Zollo, Thomas P., Morrill, Todd, Deng, Zhun, Snell, Jake C., Pitassi, Toniann, Zemel, Richard
The recent explosion in the capabilities of large language models has led to a wave of interest in how best to prompt a model to perform a given task. While it may be tempting to simply choose a prompt based on average performance on a validation set
Externí odkaz:
http://arxiv.org/abs/2311.13628
Modern reinforcement learning systems produce many high-quality policies throughout the learning process. However, to choose which policy to actually deploy in the real world, they must be tested under an intractable number of environmental condition
Externí odkaz:
http://arxiv.org/abs/2306.07372
Autor:
Michael Yao, Jason Daniels, Luke Grosvenor, Valerie Morrill, Jason I. Feinberg, Kelly M. Bakulski, Joseph Piven, Heather C. Hazlett, Mark D. Shen, Craig Newschaffer, Kristen Lyall, Rebecca J. Schmidt, Irva Hertz-Picciotto, Lisa A. Croen, M. Daniele Fallin, Christine Ladd-Acosta, Heather Volk, Kelly Benke
Publikováno v:
Journal of Neurodevelopmental Disorders, Vol 16, Iss 1, Pp 1-12 (2024)
Abstract Background Common genetic variation has been shown to account for a large proportion of ASD heritability. Polygenic scores generated for autism spectrum disorder (ASD-PGS) using the most recent discovery data, however, explain less variance
Externí odkaz:
https://doaj.org/article/065b3e24ae6742c08b0d1d741348b431
This article provides a concise overview of some of the recent advances in the application of rough path theory to machine learning. Controlled differential equations (CDEs) are discussed as the key mathematical model to describe the interaction of a
Externí odkaz:
http://arxiv.org/abs/2302.04586
Publikováno v:
Urology Case Reports, Vol 57, Iss , Pp 102857- (2024)
Urologic patients with anatomic abnormalities can be particularly susceptible to urinary tract infections (UTI). UTI with urease-producing bacteria can promote struvite urinary calculi and pose unique treatment problems. There is potential for rapid
Externí odkaz:
https://doaj.org/article/62f6c54cf3ea400c9f5ea466c1fbeb9e
Neural text-to-speech (TTS) can provide quality close to natural speech if an adequate amount of high-quality speech material is available for training. However, acquiring speech data for TTS training is costly and time-consuming, especially if the g
Externí odkaz:
http://arxiv.org/abs/2212.10075
Autor:
Sappaya Suppanuntaroek, Kyle Garcia, Christopher Combates, Carly Deal, Irasema Concepción Paster, Christian C. Morrill, Ken Batai, Benjamin Lee
Publikováno v:
BMC Urology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background To evaluate the predictive value of individual components of the R.E.N.A.L scoring system for Laparoscopic (LPN) and Robotic Partial Nephrectomy (RPN). Methods Patients that had undergone a Laparoscopic (LPN) or Robotic Partial Ne
Externí odkaz:
https://doaj.org/article/e96107236393495f8b69cd474eb129b2
Autor:
Morrill, Thomas
A modified form of Euclid's algorithm has gained popularity among musical composers following Toussaint's 2005 survey of so-called Euclidean rhythms in world music. We offer a method to easily calculate Euclid's algorithm by hand as a modification of
Externí odkaz:
http://arxiv.org/abs/2206.12421
Neural replicator dynamics (NeuRD) is an alternative to the foundational softmax policy gradient (SPG) algorithm motivated by online learning and evolutionary game theory. The NeuRD expected update is designed to be nearly identical to that of SPG, h
Externí odkaz:
http://arxiv.org/abs/2206.02036