Devansh Bisla — accepted AI-conference papers

2023

ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals

Shihong Fang, Haoran Zhu, Devansh Bisla, Anna Choromanska, Satish Ravindran, Dongyin Ren +1

ICRA 2023poster

Among various sensors for assisted and autonomous driving systems, automotive radar has been considered as a robust and low-cost solution even in adverse weather or lighting conditions. With the recent development of radar technologies and open-sourced annotated data sets, semantic segmentation with…

Cited by 5 Source ↗Scholar ↗

2022

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

Devansh Bisla, Jing Wang, Anna Choromanska

AISTATS 2022poster

In this paper, we study the sharpness of a deep learning (DL) loss landscape around local minima in order to reveal systematic mechanisms underlying the generalization abilities of DL models. Our analysis is performed across varying network and optimizer hyper-parameters, and involves a rich family…

Cited by 40 Source ↗PDF ↗code ↗Scholar ↗