Alert button
Picture for P. K. Srijith

P. K. Srijith

Alert button

Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, India

Monte Carlo DropBlock for Modelling Uncertainty in Object Detection

Aug 08, 2021
Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C Krishna Mohan

Figure 1 for Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Figure 2 for Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Figure 3 for Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Figure 4 for Monte Carlo DropBlock for Modelling Uncertainty in Object Detection
Viaarxiv icon

Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression

Jul 17, 2021
Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan

Figure 1 for Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
Figure 2 for Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
Figure 3 for Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
Figure 4 for Subset-of-Data Variational Inference for Deep Gaussian-Processes Regression
Viaarxiv icon

Adiabatic Quantum Feature Selection for Sparse Linear Regression

Jun 04, 2021
Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao, Naveen Sivadasan

Figure 1 for Adiabatic Quantum Feature Selection for Sparse Linear Regression
Viaarxiv icon

Delay Differential Neural Networks

Dec 12, 2020
Srinivas Anumasa, P. K. Srijith

Figure 1 for Delay Differential Neural Networks
Figure 2 for Delay Differential Neural Networks
Figure 3 for Delay Differential Neural Networks
Figure 4 for Delay Differential Neural Networks
Viaarxiv icon

Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence

Nov 12, 2019
P. Jayashree, Ballijepalli Shreya, P. K. Srijith

Figure 1 for Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
Figure 2 for Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
Figure 3 for Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
Figure 4 for Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence
Viaarxiv icon

Deep Gaussian Processes with Convolutional Kernels

Jun 05, 2018
Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas Damianou

Figure 1 for Deep Gaussian Processes with Convolutional Kernels
Figure 2 for Deep Gaussian Processes with Convolutional Kernels
Figure 3 for Deep Gaussian Processes with Convolutional Kernels
Figure 4 for Deep Gaussian Processes with Convolutional Kernels
Viaarxiv icon

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling

Sep 21, 2016
P. K. Srijith, P. Balamurugan, Shirish Shevade

Figure 1 for Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
Figure 2 for Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
Figure 3 for Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
Figure 4 for Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
Viaarxiv icon