DSP group members will be traveling en masse to New Orleans in May 2019 to present four regular papers at the **International Conference on Learning Representations**

- R. Balestriero and R. G. Baraniuk, “
**Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference**” - J. Wang, R. Balestriero, and R. G. Baraniuk, “
**A Max-Affine Perspective of Recurrent Neural Networks**” - A. Mousavi, G. Dasarathy, and R. G. Baraniuk, “
**A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery**” - J. J. Michalenko, A. Shah, A. Verma, R. G. Baraniuk, S. Chaudhuri, and A. B. Patel, “
**Representing Formal Languages: A Comparison between Finite Automata and Recurrent Neural Networks**”