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08/19/2023
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters
This paper introduces a novel state estimation framework for robots usin...
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08/14/2023
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
The Research Development (R D) phase of drug development is a leng...
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06/13/2023
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
Large text-to-image diffusion models have exhibited impressive proficien...
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08/25/2022
Neuro-Dynamic State Estimation for Networked Microgrids
We devise neuro-dynamic state estimation (Neuro-DSE), a learning-based d...
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08/22/2022
Learning Ball-balancing Robot Through Deep Reinforcement Learning
The ball-balancing robot (ballbot) is a good platform to test the effect...
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02/27/2022
PanoFlow: Learning Optical Flow for Panoramic Images
Optical flow estimation is a basic task in self-driving and robotics sys...
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02/02/2022
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous Driving
Optical flow estimation is an essential task in self-driving systems, wh...
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11/11/2021
Explainable Sentence-Level Sentiment Analysis for Amazon Product Reviews
In this paper, we conduct a sentence level sentiment analysis on the pro...
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04/10/2021
Quantum Machine Learning for Power System Stability Assessment
Transient stability assessment (TSA), a cornerstone for resilient operat...
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03/28/2021
Friends and Foes in Learning from Noisy Labels
Learning from examples with noisy labels has attracted increasing attent...
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01/13/2021
Neuro-Reachability of Networked Microgrids
A neural ordinary differential equations network (ODE-Net)-enabled reach...
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11/09/2020
Inexact Methods for Sequential Fully Implicit (SFI) Reservoir Simulation
The sequential fully implicit (SFI) scheme was introduced (Jenny et al. ...
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10/16/2020
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics
This paper presents a formal verification guided approach for a principl...
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08/19/2020
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
A/B testing is an important decision-making tool in product development ...
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02/06/2020
Reliability Validation of Learning Enabled Vehicle Tracking
This paper studies the reliability of a real-world learning-enabled syst...
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11/05/2019
Detecting and Tracking Small Moving Objects in Wide Area Motion Imagery (WAMI) Using Convolutional Neural Networks (CNNs)
This paper proposes an approach to detect moving objects in Wide Area Mo...
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10/05/2017