Alert button

"Time": models, code, and papers
Alert button

ReLU and Addition-based Gated RNN

Aug 10, 2023
Rickard Brännvall, Henrik Forsgren, Fredrik Sandin, Marcus Liwicki

Figure 1 for ReLU and Addition-based Gated RNN
Figure 2 for ReLU and Addition-based Gated RNN
Figure 3 for ReLU and Addition-based Gated RNN
Figure 4 for ReLU and Addition-based Gated RNN
Viaarxiv icon

Apple Vision Pro for Healthcare: "The Ultimate Display"? -- Entering the Wonderland of Precision

Aug 10, 2023
Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi

Figure 1 for Apple Vision Pro for Healthcare: "The Ultimate Display"? -- Entering the Wonderland of Precision
Figure 2 for Apple Vision Pro for Healthcare: "The Ultimate Display"? -- Entering the Wonderland of Precision
Viaarxiv icon

Deep learning for spike detection in deep brain stimulation surgery

Aug 04, 2023
Arkadiusz Nowacki, Ewelina Kołpa, Mateusz Szychiewicz, Konrad Ciecierski

Viaarxiv icon

Topological Estimation of Number of Sources in Linear Monocomponent Mixtures

Aug 05, 2023
Sean Kennedy, Murali Tummala, John McEachen

Figure 1 for Topological Estimation of Number of Sources in Linear Monocomponent Mixtures
Figure 2 for Topological Estimation of Number of Sources in Linear Monocomponent Mixtures
Viaarxiv icon

Science and engineering for what? A large-scale analysis of students' projects in science fairs

Aug 05, 2023
Adelmo Eloy, Thomas Palmeira Ferraz, Fellip Silva Alves, Roseli de Deus Lopes

Figure 1 for Science and engineering for what? A large-scale analysis of students' projects in science fairs
Figure 2 for Science and engineering for what? A large-scale analysis of students' projects in science fairs
Figure 3 for Science and engineering for what? A large-scale analysis of students' projects in science fairs
Figure 4 for Science and engineering for what? A large-scale analysis of students' projects in science fairs
Viaarxiv icon

Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework

Jul 24, 2023
William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann

Figure 1 for Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework
Figure 2 for Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework
Viaarxiv icon

Latent Processes Identification From Multi-View Time Series

May 14, 2023
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng

Figure 1 for Latent Processes Identification From Multi-View Time Series
Figure 2 for Latent Processes Identification From Multi-View Time Series
Figure 3 for Latent Processes Identification From Multi-View Time Series
Figure 4 for Latent Processes Identification From Multi-View Time Series
Viaarxiv icon

Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks

Aug 11, 2023
Daniel Ries, Jason Adams, Joshua Zollweg

Figure 1 for Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
Figure 2 for Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
Figure 3 for Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
Figure 4 for Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
Viaarxiv icon

Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning

Jun 08, 2023
Joel Ong, Dorien Herremans

Figure 1 for Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Figure 2 for Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Figure 3 for Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Figure 4 for Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning
Viaarxiv icon

Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks

Aug 09, 2023
Marc W. Brittain, Luis E. Alvarez, Kara Breeden

Figure 1 for Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks
Figure 2 for Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks
Figure 3 for Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks
Figure 4 for Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks
Viaarxiv icon