Rice DSP will again be well-represented at NeurIPS 2019 in Vancouver, Canada

• R. Balestriero, R. Cosentino, B. Aazhang, R. G. Baraniuk, "The Geometry of Deep Networks: Power Diagram Subdivision," Neural Information Processing Systems (NeurIPS),  2019.
• Y. Huang, S. Dai, T. M. Nguyen, P. Bao, D.Y. Tsao, R. G. Baraniuk, A. Anandkumar, "Brain-Inspired Robust Vision using Convolutional Neural Networks with Feedback," Neuroscience<->AI Workshop, NeurIPS, 2019.
• G. Portwood, P. Mitra, M. D. Ribeiro, T. M. Nguyen, B. Nadiga, J. Saenz, M. Chertkov, A. Garg, A. Anandkumar, A. Dengel, R. G. Baraniuk, D. Schmidt. "Turbulence Forecasting via NeuralODE," Machine Learning and the Physical Sciences Workshop, NeurIPS, 2019.
• Y. Huang, S. Dai, T. M. Nguyen, P. Bao, D.Y. Tsao, R. G. Baraniuk, A. Anandkumar. "Out-of-Distribution Detection using Neural Rendering Models," Women in Machine Learning Workshop, NeurIPS, 2019
• D. Brenes, C. Barberan, B. Hunt, R. G. Baraniuk, R. Richards-Kortum, "Multi-Task Deep Learning Model for Improved Histopathology Prediction from In-Vivo Microscopy Images," LatinX Workshop, NeurIPS 2019

• Co-organizing:  NeurIPS Workshop on Solving Inverse Problems with Deep Networks, 2019