Zobrazeno 1 - 10
of 4 239
pro vyhledávání: '"O'GORMAN P"'
Precipitation extremes produced by convection have been found to intensify with near-surface temperatures at a Clausius-Clapeyron rate of $6$ to $7\%$ K$^{-1}$ in simulations of radiative-convective equilibrium (RCE). However, these idealized simulat
Externí odkaz:
http://arxiv.org/abs/2412.16306
We propose Few-Class Arena (FCA), as a unified benchmark with focus on testing efficient image classification models for few classes. A wide variety of benchmark datasets with many classes (80-1000) have been created to assist Computer Vision archite
Externí odkaz:
http://arxiv.org/abs/2411.01099
Autor:
Cheng, Qi, Boratko, Michael, Yelugam, Pranay Kumar, O'Gorman, Tim, Singh, Nalini, McCallum, Andrew, Li, Xiang Lorraine
Large language models have demonstrated impressive performance on commonsense tasks; however, these tasks are often posed as multiple-choice questions, allowing models to exploit systematic biases. Commonsense is also inherently probabilistic with mu
Externí odkaz:
http://arxiv.org/abs/2406.04145
In this work, we report, for the first time, an implementation of fermionic auxiliary-field quantum Monte Carlo (AFQMC) using matrix product state (MPS) trial wavefunctions, dubbed MPS-AFQMC. Calculating overlaps between an MPS trial and arbitrary Sl
Externí odkaz:
http://arxiv.org/abs/2405.05440
Publikováno v:
Blood and Lymphatic Cancer: Targets and Therapy, Vol Volume 8, Pp 21-31 (2018)
Agnieszka Blum, Despina Bazou, Peter O’Gorman Department of Hematology, Mater Misericordiae University Hospital, Dublin, UK Abstract: Smoldering multiple myeloma (SMM) is an asymptomatic plasma cell proliferative disorder associated with risk of pr
Externí odkaz:
https://doaj.org/article/5ba3e1320cb1480eaabafb1d21a824b7
Publikováno v:
ICPR 2024
Although accuracy and computation benchmarks are widely available to help choose among neural network models, these are usually trained on datasets with many classes, and do not give a good idea of performance for few (< 10) classes. The conventional
Externí odkaz:
http://arxiv.org/abs/2404.05981
Autor:
O'Gorman, Lawrence
Although mobile robots have on-board sensors to perform navigation, their efficiency in completing paths can be enhanced by planning to avoid human interaction. Infrastructure cameras can capture human activity continuously for the purpose of compili
Externí odkaz:
http://arxiv.org/abs/2403.18096
Autor:
Finkel, Justin, O'Gorman, Paul A.
A leading goal for climate science and weather risk management is to accurately model both the physics and statistics of extreme events. These two goals are fundamentally at odds: the higher a computational model's resolution, the more expensive are
Externí odkaz:
http://arxiv.org/abs/2402.01823
Autor:
Sylvain Bodard, Leo Razakamanantsoa, Ruben Geevarghese, Julianne O’Gorman, Anthony Dohan, Clement Marcelin, François H. Cornelis
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-6 (2024)
Abstract Purpose To investigate over 10 years the safety and efficacy of percutaneous cryoablation for the treatment of abdominal wall endometriosis (AWE). Methods A systematic review was conducted of literature published between March 2014 and March
Externí odkaz:
https://doaj.org/article/8440d9638b0b4134a2fd0353fae3942a