output
20102025
most citedCost-aware Pre-training for Multiclass Cost-sensitive Deep Learning

68 citations

13 papers

cs.DC2025★ 2 cited

Hardware-Level QoS Enforcement Features: Technologies, Use Cases, and Research Challenges

Oliver Larsson, Thijs Metsch, Cristian Klein +1

Recent advancements in commodity server processors have enabled dynamic hardware-based quality-of-service (QoS) enforcement. These features have gathered increasing interest in res…

cs.PL2024★ 3 cited

Portability of Fortran's `do concurrent' on GPUs

Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker +6

There is a continuing interest in using standard language constructs for accelerated computing in order to avoid (sometimes vendor-specific) external APIs. For Fortran codes, the {…

cs.GR2024★ 1 cited

Non-Orthogonal Reduction for Rendering Fluorescent Materials in Non-Spectral Engines

Alban Fichet, Laurent Belcour, Pascal Barla

We propose a method to accurately handle fluorescence in a non-spectral (\eg, tristimulus) rendering engine, showcasing color-shifting and increased luminance effects. Core to our…

cs.CV2020

High Fidelity Interactive Video Segmentation Using Tensor Decomposition Boundary Loss Convolutional Tessellations and Context Aware Skip Connections

Anthony D. Rhodes, Manan Goel

We provide a high fidelity deep learning algorithm (HyperSeg) for interactive video segmentation tasks using a convolutional network with context-aware skip connections, and compre…

cond-mat.mes-hall2019★ 40 cited

Tunable coupling and isolation of single electrons in silicon metal-oxide-semiconductor quantum dots

H. G. J. Eenink, L. Petit, W. I. L. Lawrie +3

Extremely long coherence times, excellent single-qubit gate fidelities and two-qubit logic have been demonstrated with silicon metal-oxide-semiconductor spin qubits, making it one…

cs.NE2019

An Evolutionary Framework for Automatic and Guided Discovery of Algorithms

Ruchira Sasanka, Konstantinos Krommydas

This paper presents Automatic Algorithm Discoverer (AAD), an evolutionary framework for synthesizing programs of high complexity. To guide evolution, prior evolutionary algorithms…