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2. Deep Networks Through the Lens of Low-Dimensional Structure: Towards Mathematical and Computational Principles for Nonlinear Data
3. Deconvolution Problems for Structured Sparse Signal
4. Energy Footprinting and Human-Centric Building Co-Optimization with Multi-Task Deep Reinforcement Learning
5. Learning for Network Applications and Control
6. Resource Allocation In Large-Scale Distributed Systems
7. Dynamic and adaptive processing of speech in the human auditory cortex
8. Deep Learning for Action Understanding in Video
9. Dynamic Machine Learning with Least Square Objectives
10. Mechanistic Models of Neural Computation in the Fruit Fly Brain
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