Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques
cs.CV
Submitted: 2026-10-09
Updated: 2026-10-09
Sources
- Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
- Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
- Comparative Study of CNN and RNN for Natural Language Processing
- A Survey of Algorithms for Geodesic Paths and Distances
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