Opportunistic sensor activation in the face of data deluge. - Kamil Nar; Sourabh Bhattacharya; Tamer Basar (CDC, 2013)

Sampling multidimensional Wiener processes. - Kamil Nar; Tamer Basar (CDC, 2014)

Learning prospect theory value function and reference point of a sequential decision maker. - Kamil Nar; Lillian J. Ratliff; Shankar Sastry 001 (CDC, 2017)

An Analytical Framework to Address the Data Exfiltration of Advanced Persistent Threats. - Kamil Nar; S. Shankar Sastry (CDC, 2018)

Step Size Matters in Deep Learning. - Kamil Nar; Shankar Sastry 001 (NeurIPS, 2018)

Residual Networks: Lyapunov Stability and Convex Decomposition. - Kamil Nar; Shankar Sastry 001 (CoRR, 2018)

Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples. - Kamil Nar; Orhan Ocal; S. Shankar Sastry; Kannan Ramchandran (CoRR, 2019)

Persistency of Excitation for Robustness of Neural Networks. - Kamil Nar; S. Shankar Sastry (CoRR, 2019)

Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss. - Kamil Nar; Yuan Xue; Andrew M. Dai (CoRR, 2020)

Optimization, Robustness and Risk-Sensitivity in Machine Learning: A Dynamical Systems Perspective. - Kamil Nar (2020)