Zobrazeno 41 - 50
of 68 678
pro vyhledávání: '"Bhaskar A"'
With the growing concern of AI safety, there is a need to trust the computations done by machine learning (ML) models. Blockchain technology, known for recording data and running computations transparently and in a tamper-proof manner, can offer this
Externí odkaz:
http://arxiv.org/abs/2404.16967
Autor:
Mitra, Bhaskar
Information retrieval (IR) technologies and research are undergoing transformative changes. It is our perspective that the community should accept this opportunity to re-center our research agendas on societal needs while dismantling the artificial s
Externí odkaz:
http://arxiv.org/abs/2403.17901
In this study, we introduce a novel visual imitation network with a spatial attention module for robotic assisted feeding (RAF). The goal is to acquire (i.e., scoop) food items from a bowl. However, achieving robust and adaptive food manipulation is
Externí odkaz:
http://arxiv.org/abs/2403.12891
Robotic Assisted Feeding (RAF) addresses the fundamental need for individuals with mobility impairments to regain autonomy in feeding themselves. The goal of RAF is to use a robot arm to acquire and transfer food to individuals from the table. Existi
Externí odkaz:
http://arxiv.org/abs/2403.12876
This study introduces a robust solution for the detection of Distributed Denial of Service (DDoS) attacks in Internet of Things (IoT) systems, leveraging the capabilities of Graph Convolutional Networks (GCN). By conceptualizing IoT devices as nodes
Externí odkaz:
http://arxiv.org/abs/2403.09118
Scheduling a task graph representing an application over a heterogeneous network of computers is a fundamental problem in distributed computing. It is known to be not only NP-hard but also not polynomial-time approximable within a constant factor. As
Externí odkaz:
http://arxiv.org/abs/2403.07120
Scheduling distributed applications modeled as directed, acyclic task graphs to run on heterogeneous compute networks is a fundamental (NP-Hard) problem in distributed computing for which many heuristic algorithms have been proposed over the past dec
Externí odkaz:
http://arxiv.org/abs/2403.07112
This paper comprehensively reviews the application of machine learning (ML) and AI in finance, specifically in the context of asset pricing. It starts by summarizing the traditional asset pricing models and examining their limitations in capturing th
Externí odkaz:
http://arxiv.org/abs/2403.06779
Prior work has found that pretrained language models (LMs) fine-tuned with different random seeds can achieve similar in-domain performance but generalize differently on tests of syntactic generalization. In this work, we show that, even within a sin
Externí odkaz:
http://arxiv.org/abs/2403.03942
Autor:
Gori, Stefania, Tran, Nhan, DiPetrillo, Karri, Echenard, Bertrand, Eldred, Jeffrey, Harnik, Roni, Machado, Pedro, Toups, Matthew, Bernstein, Robert, Bigaran, Innes, Cesarotti, Cari, Dutta, Bhaskar, Herwig, Christian, Jindariani, Sergo, Plestid, Ryan, Shiltsev, Vladimir, Solt, Matthew, Sousa, Alexandre, Stratakis, Diktys, Tabrizi, Zahra, Thapa, Anil, Zettlemoyer, Jacob, Zupan, Jure
We summarize the Fermilab Accelerator Complex Evolution (ACE) Science Workshop, held on June 14-15, 2023. The workshop presented the strategy for the ACE program in two phases: ACE Main Injector Ramp and Target (MIRT) upgrade and ACE Booster Replacem
Externí odkaz:
http://arxiv.org/abs/2403.02422