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10/27/2022
Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach
Multi-target tracking (MTT) is a traditional signal processing task, whe...
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06/07/2021
Stability of Manifold Neural Networks to Deformations
Stability is an important property of graph neural networks (GNNs) which...
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02/23/2021
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards
Constrained reinforcement learning involves multiple rewards that must i...
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10/12/2020
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)
Spherical signals are useful mathematical models for data arising in man...
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02/06/2020
VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms
Despite the popularity of decentralized controller learning, very few su...
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12/12/2019
