Publications

Google Scholar Profile

2018

Weili Nie, Yang Zhang, Ankit Patel (2018). A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations. Proceedings of the International Conference of Machine Learning (ICML), PMLR 80:3809-3818, 2018. ICML ArXiV pdf
Huaijin Chen, Wanjia Liu, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit Patel (2018). EDR: Retinomorphic Event-Driven Representations for Motion Vision. IEEE International Conference on Computational Photography, 2018.
Wanjia Liu, Huaijin Chen, Rishab Goel, Yuzhong Huang, Ashok Veeraraghavan, Ankit Patel (2018). Fast Retinomorphic Event-Driven Representations for Video Recognition and Reinforcement Learning. Submitted. ArXiV pdf

2016

Tan Nguyen, Richard Baraniuk, Ankit Patel (2016). Semi-Supervised Learning with the Deep Rendering Mixture Model. ArXiV pdf
Ankit Patel, Tan Nguyen, Richard Baraniuk (2016). A Probabilistic Framework for Deep Learning. NIPS 2016, Barcelona, Spain. pdf NIPS
Gavin Taylor, Ryan Burmeister, Zheng Xu, Bharat Singh, Ankit Patel, Tom Goldstein (2016). Training Neural Networks without Gradients: A Scalable ADMM Approach. ICML 2016, New York City USA. ArXiV
A. Patel, T. Nguyen, and R. G. Baraniuk(2016). A Probabilistic Theory of Deep Learning. Cosyne Abstracts 2016, Salt Lake City USA.

2015

A.Mousavi, A. Patel, and R. G. Baraniuk(2015). A Deep Learning Approach to Structured Signal Recovery. 53rd Annual Allerton Conference on Communication, Control, and Computing, Sept 29-Oct 2, 2015, Allerton Park and Retreat Center, Monticello, IL, USA.
A. PatelT. Nguyen, and R. G. BaraniukA Probabilistic Theory of Deep Learning. No. 2015-1: Rice University, Department of Electrical and Computer Engineering, Mar. 15, 2015. arXiv

2008-2012

All research during this period was proprietary.

2003 – 2007

The Emergence of Geometric Order in Proliferating Metazoan Epithelia.  Matthew Gibson*, Ankit Patel*, Radhika Nagpal, Norbert Perrimon. Nature 42, pp. 1038-1041. Aug 31, 2006. *co-first authors
Desynchronization: A self-organizing algorithm for desynchronization and periodic resource scheduling. Ankit Patel, Julius Degesys, Radhika Nagpal. IEEE International Conference on Self-Adaptive and Self-Organizing Systems, July 2007.
DESYNC: Self-organizing Desynchronization and TDMA on Wireless Sensor NetworksJulius Degesys, Ian Rose, Ankit Patel, Radhika Nagpal. International Conference on Information Processing in Sensor Networks, April 2007.
Firefly-Inspired Sensor Network Synchronicity with Realistic Radio Effects. Geoff Werner-Allen, Geetika Tewari, Ankit Patel, Matt Welsh, Radhika Nagpal. In the ACM Conference on Embedded Networked Sensor Systems (SenSys’05), November 2005.
Determining the Optimal Time for Feature Aided Track Correlation Between Two Radars, [U]. Ankit Patel, Matthew Smith, Keh-Ping Dunn. In Conference on Missile Defense: Sensors, Environments, Architectures, November 2003.

 

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