37 citations · 129 across the 31 of their papers we have counts for
4 papers · 1 filter
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
Neslihan Kose, Ranganath Krishnan, Akash Dhamasia +2
Reliable uncertainty quantification in deep neural networks is very crucial in safety-critical applications such as automated driving for trustworthy and informed decision-making.…
FRE: A Fast Method For Anomaly Detection And Segmentation
Ibrahima Ndiour, Nilesh Ahuja, Utku Genc +1
This paper presents a fast and principled approach for solving the visual anomaly detection and segmentation problem. In this setup, we have access to only anomaly-free training da…
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing
Parual Datta, Nilesh Ahuja, V. Srinivasa Somayazulu +1
Split computing has emerged as a recent paradigm for implementation of DNN-based AI workloads, wherein a DNN model is split into two parts, one of which is executed on a mobile/cli…
Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection
Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo
This paper presents a fast, principled approach for detecting anomalous and out-of-distribution (OOD) samples in deep neural networks (DNN). We propose the application of linear st…