Sathya Ravi | DeepAI

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∙ 09/20/2023

STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy

Complex sensors such as LiDAR, RADAR, and event cameras have proliferate...

0 Nastaran Darabi, et al. ∙

∙ 09/18/2023

Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge

In the expanding landscape of AI-enabled robotics, robust quantification...

0 Alex C. Stutts, et al. ∙

∙ 10/27/2022

Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies

We present a novel monocular localization framework by jointly training ...

0 Priyesh Shukla, et al. ∙

∙ 09/12/2019

Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently

Rectified Linear Units (ReLUs) are among the most widely used activation...

0 Vishnu Suresh Lokhande, et al. ∙

∙ 06/10/2015

Convergence rates for pretraining and dropout: Guiding learning parameters using network structure

Unsupervised pretraining and dropout have been well studied, especially ...

0 Vamsi K. Ithapu, et al. ∙

∙ 02/12/2015

Convergence of gradient based pre-training in Denoising autoencoders

The success of deep architectures is at least in part attributed to the ...

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