64 citations · 146 across the 41 of their papers we have counts for
9 papers · 1 filter
Altruistic Autonomy: Beating Congestion on Shared Roads
Erdem Bıyık, Daniel Lazar, Ramtin Pedarsani +1
Traffic congestion has large economic and social costs. The introduction of autonomous vehicles can potentially reduce this congestion, both by increasing network throughput and by…
Robust Adversarial Learning via Sparsifying Front Ends
Soorya Gopalakrishnan, Zhinus Marzi, Metehan Cekic +2
It is by now well-known that small adversarial perturbations can induce classification errors in deep neural networks. In this paper, we take a bottom-up signal processing perspect…
Routing for Traffic Networks with Mixed Autonomy
Daniel A. Lazar, Sam Coogan, Ramtin Pedarsani
In this work we propose a macroscopic model for studying routing on networks shared between human-driven and autonomous vehicles that captures the effects of autonomous vehicles fo…
Maximizing Road Capacity Using Cars that Influence People
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani +1
The emerging technology enabling autonomy in vehicles has led to a variety of new problems in transportation networks, such as planning and perception for autonomous vehicles. Othe…
An Exact Quantized Decentralized Gradient Descent Algorithm
Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani +1
We consider the problem of decentralized consensus optimization, where the sum of smooth and strongly convex functions are minimized over distributed agents that form a con…
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing
Chien-Sheng Yang, Ramtin Pedarsani, A. Salman Avestimehr
There is a growing interest in development of in-network dispersed computing paradigms that leverage the computing capabilities of heterogeneous resources dispersed across the netw…