Zobrazeno 1 - 10
of 6 208
pro vyhledávání: '"Orchard, P"'
Autor:
Ganjidoost, Ehsan, Orchard, Jeff
An adversarial example is a modified input image designed to cause a Machine Learning (ML) model to make a mistake; these perturbations are often invisible or subtle to human observers and highlight vulnerabilities in a model's ability to generalize
Externí odkaz:
http://arxiv.org/abs/2411.00222
Achieving personalized intelligence at the edge with real-time learning capabilities holds enormous promise in enhancing our daily experiences and helping decision making, planning, and sensing. However, efficient and reliable edge learning remains d
Externí odkaz:
http://arxiv.org/abs/2408.15800
Autor:
Orchard, Lili, Cárdenas, Víctor H.
We study the evidence for dark energy (DE) evolution at low redshift, using baryonic acoustic oscillations (BAOs) from the DESI Early Data Release, Pantheon+ Type Ia supernovae (SNe-Ia), and redshift space distortions (RSDs) to constrain cosmological
Externí odkaz:
http://arxiv.org/abs/2407.05579
Neuroscience and Artificial Intelligence (AI) have progressed in tandem, each contributing to our understanding of the brain, and inspiring recent developments in biologically-plausible neural networks (NNs) and learning rules. Predictive coding (PC)
Externí odkaz:
http://arxiv.org/abs/2406.14723
Autor:
Okati, Nastaran, Mejia, Sergio Hernan Garrido, Orchard, William Roy, Blöbaum, Patrick, Janzing, Dominik
Recent work conceptualized root cause analysis (RCA) of anomalies via quantitative contribution analysis using causal counterfactuals in structural causal models (SCMs).The framework comes with three practical challenges: (1) it requires the causal d
Externí odkaz:
http://arxiv.org/abs/2406.05014
Despite an abundance of proposed systems, the verification of units-of-measure within programs remains rare in scientific computing. We attempt to address this issue by providing a lightweight static verification system for units-of-measure in Fortra
Externí odkaz:
http://arxiv.org/abs/2406.02174
Polygonal billiards exhibit a rich and complex dynamical behavior. In recent years polygonal billiards have attracted great attention due to their application in the understanding of anomalous transport, but also at the fundamental level, due to its
Externí odkaz:
http://arxiv.org/abs/2405.07179
Fault Detection and Monitoring using an Information-Driven Strategy: Method, Theory, and Application
The ability to detect when a system undergoes an incipient fault is of paramount importance in preventing a critical failure. In this work, we propose an information-driven fault detection method based on a novel concept drift detector. The method is
Externí odkaz:
http://arxiv.org/abs/2405.03667
Charts, figures, and text derived from data play an important role in decision making, from data-driven policy development to day-to-day choices informed by online articles. Making sense of, or fact-checking, outputs means understanding how they rela
Externí odkaz:
http://arxiv.org/abs/2403.04403
Graded modal logics generalise standard modal logics via families of modalities indexed by an algebraic structure whose operations mediate between the different modalities. The graded "of-course" modality $!_r$ captures how many times a proposition i
Externí odkaz:
http://arxiv.org/abs/2401.17199