Zobrazeno 1 - 10
of 15 005
pro vyhledávání: '"Crum, A."'
Autor:
Crum, Elias, De Santis, Antonio, Ovide, Manon, Pan, Jiaxin, Pisu, Alessia, Lazzari, Nicolas, Rudolph, Sebastian
Publikováno v:
Proc. of 2nd Workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM 2024) co-located with ISWC 2024, Baltimore, USA, November 12, 2024
Ontologies often lack explicit disjointness declarations between classes, despite their usefulness for sophisticated reasoning and consistency checking in Knowledge Graphs. In this study, we explore the potential of Large Language Models (LLMs) to en
Externí odkaz:
http://arxiv.org/abs/2410.03235
Incorporating human-perceptual intelligence into model training has shown to increase the generalization capability of models in several difficult biometric tasks, such as presentation attack detection (PAD) and detection of synthetic samples. After
Externí odkaz:
http://arxiv.org/abs/2405.00650
Autor:
Crum, Travis
Publikováno v:
Columbia Law Review, 2024 Oct 01. 124(6), 1823-1915.
Externí odkaz:
https://www.jstor.org/stable/27341187
Taking Training Seriously: Human Guidance and Management-Based Regulation of Artificial Intelligence
Autor:
Coglianese, Cary, Crum, Colton R.
Fervent calls for more robust governance of the harms associated with artificial intelligence (AI) are leading to the adoption around the world of what regulatory scholars have called a management-based approach to regulation. Recent initiatives in t
Externí odkaz:
http://arxiv.org/abs/2402.08466
Real-world BB84 Quantum Key Distribution (QKD) systems utilize imperfect devices that introduce vulnerabilities to their security, known as side-channel attacks. Measurement-Device-Independent (MDI) QKD authorizes an untrusted third party to make mea
Externí odkaz:
http://arxiv.org/abs/2311.04334
Autor:
Crum, Colton R., Czajka, Adam
Incorporating human perception into training of convolutional neural networks (CNN) has boosted generalization capabilities of such models in open-set recognition tasks. One of the active research questions is where (in the model architecture) and ho
Externí odkaz:
http://arxiv.org/abs/2310.19545
Autor:
Tinsley, Patrick, Purnapatra, Sandip, Mitcheff, Mahsa, Boyd, Aidan, Crum, Colton, Bowyer, Kevin, Flynn, Patrick, Schuckers, Stephanie, Czajka, Adam, Fang, Meiling, Damer, Naser, Liu, Xingyu, Wang, Caiyong, Sun, Xianyun, Chang, Zhaohua, Li, Xinyue, Zhao, Guangzhe, Tapia, Juan, Busch, Christoph, Aravena, Carlos, Schulz, Daniel
This paper describes the results of the 2023 edition of the ''LivDet'' series of iris presentation attack detection (PAD) competitions. New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack
Externí odkaz:
http://arxiv.org/abs/2310.04541
The transverse radiation pressure force and acceleration is compared for two parametrically optimized designs: prismatic and two-pillar metasurface gratings. The numerical results were cross-verified with both Maxwell stress tensor and modal analysis
Externí odkaz:
http://arxiv.org/abs/2306.14093
Machine learning models have shown increased accuracy in classification tasks when the training process incorporates human perceptual information. However, a challenge in training human-guided models is the cost associated with collecting image annot
Externí odkaz:
http://arxiv.org/abs/2306.05527
Autor:
Crum, Noah A., Sunny, Leanto, Ronagh, Pooya, Laflamme, Raymond, Balu, Radhakrishnan, Siopsis, George
We investigate whether long-run persistent chain Monte Carlo simulation of Langevin dynamics improves the quality of the representations achieved by energy-based models (EBM). We consider a scheme wherein Monte Carlo simulation of a diffusion process
Externí odkaz:
http://arxiv.org/abs/2305.07973