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09/03/2023
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Magnetic resonance imaging (MRI) tasks often involve multiple contrasts....
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08/09/2023
Local Reasoning about Probabilistic Behaviour for Classical-Quantum Programs
Verifying the functional correctness of programs with both classical and...
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06/24/2023
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks
We explore conditions for when the gradient of a deep declarative node c...
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06/07/2023
Adaptive Frequency Green Light Optimal Speed Advisory based on Hybrid Actor-Critic Reinforcement Learning
Green Light Optimal Speed Advisory (GLOSA) system suggests speeds to veh...
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03/28/2023
TraffNet: Learning Causality of Traffic Generation for Road Network Digital Twins
Road network digital twins (RNDTs) play a critical role in the developme...
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03/19/2023
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
This paper addresses learning end-to-end models for time series data tha...
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03/15/2023
Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation
Semantic communication is envisioned as a promising technique to break t...
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11/04/2022
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
Skill-based reinforcement learning (RL) has emerged as a promising strat...
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07/22/2022
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Although deep-learning based methods for monocular pedestrian detection ...
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06/28/2022
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems
6-DoF visual localization systems utilize principled approaches rooted i...
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05/27/2022
Improving Road Segmentation in Challenging Domains Using Similar Place Priors
Road segmentation in challenging domains, such as night, snow or rain, i...
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03/22/2022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Federated learning (FL) allows multiple clients to collectively train a ...
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02/11/2022
Checking Continuous Stochastic Logic against Quantum Continuous-Time Markov Chains
Verifying quantum systems has attracted a lot of interest in the last de...
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01/30/2022
Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach
Ride-hailing is rapidly changing urban and personal transportation. Ride...
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12/06/2021
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise
Noisy labels damage the performance of deep networks. For robust learnin...
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12/01/2021
Interactive Model with Structural Loss for Language-based Abductive Reasoning
The abductive natural language inference task (αNLI) is proposed to infe...
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06/18/2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
Joint extraction of entities and relations from unstructured texts is a ...
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05/07/2021
Probabilistic Visual Place Recognition for Hierarchical Localization
Visual localization techniques often comprise a hierarchical localizatio...
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05/02/2021
Model Checking Quantum Continuous-Time Markov Chains
Verifying quantum systems has attracted a lot of interests in the last d...
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01/13/2021
An Algebraic Method to Fidelity-based Model Checking over Quantum Markov Chains
Fidelity is one of the most widely used quantities in quantum informatio...
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05/13/2020
Triaging moderate COVID-19 and other viral pneumonias from routine blood tests
The COVID-19 is sweeping the world with deadly consequences. Its contagi...
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03/04/2020
EPINE: Enhanced Proximity Information Network Embedding
Unsupervised homogeneous network embedding (NE) represents every vertex ...
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07/03/2019
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) images ...
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02/13/2019
Proving Expected Sensitivity of Probabilistic Programs with Randomized Execution Time
The notion of program sensitivity (aka Lipschitz continuity) specifies t...
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01/31/2019
Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound
Connected and automated vehicles (CAVs) are expected to yield significan...
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01/23/2019
A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles
Connected and automated vehicles (CAVs) are poised to reshape transporta...
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09/27/2018
Variance reduction properties of the reparameterization trick
The reparameterization trick is widely used in variational inference as ...
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09/27/2018
On some variance reduction properties of the reparameterization trick
The so-called reparameterization trick is widely used in variational inf...
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09/13/2018
PPtaxi: Non-stop Package Delivery via Multi-hop Ridesharing
City-wide package delivery becomes popular due to the dramatic rise of o...
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07/09/2014
Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories
A major problem in road network analysis is discovery of important cross...
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06/27/2014