Kanishka Tyagi

According to our database, Kanishka Tyagi authored at least 26 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions.

Chinmay Rane, Kanishka Tyagi, Adrienne Kline, Tushar Chugh, Michael T. Manry

Evol. Intell., 2024

Dynamic Activations for Neural Net Training.

Chinmay Rane, Kanishka Tyagi, Tushar Chugh, Nirmala Murali

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

From Aisles to Smiles: Carrey's Impact on Customer Journey.

Tushar Chugh, Kanishka Tyagi, Adi Mopidevi, Rolly Seth

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

State-Based Dynamic Graph with Breadth First Progression For Autonomous Robots.

Tushar Chugh, Kanishka Tyagi, Pranesh Srinivasan, Jeshwanth Challagundla

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Machine Learning Techniques for Non-Intrusive Load Monitoring for Enhanced Energy Predictions.

Tushar Chugh, Kanishka Tyagi, Rolly Seth

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Multiple Gain Adaptations for Improved Neural Networks Training.

Jeshwanth Challagundla, Kanishka Tyagi, Tushar Chugh, Michael T. Manry

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions.

Chinmay Rane, Kanishka Tyagi, Michael T. Manry

CoRR, 2023

Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network.

Chinmay Rane, Kanishka Tyagi, Sanjeev S. Malalur, Yash Shinge, Michael T. Manry

CoRR, 2023

Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection.

Asish Kumar Mishra, Kanishka Tyagi, Deepak Mishra

Proceedings of the IEEE International Conference on Image Processing, 2023

Machine Learning Based Early Debris Detection Using Automotive Low Level Radar Data.

Kanishka Tyagi, Shan Zhang, Yihang Zhang, John L. Kirkwood, Sanling Song, Narbik Manukian

Proceedings of the IEEE International Conference on Acoustics, 2023

Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators.

Steven Shaw, Kanishka Tyagi, Shan Zhang

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021

Multistage Newton's Approach for Training Radial Basis Function Neural Networks.

Kanishka Tyagi, Chinmay Rane, Bito Irie, Michael T. Manry

SN Comput. Sci., 2021

2020

Second Order Training and Sizing for the Multilayer Perceptron.

Kanishka Tyagi, Son Nguyen, Rohit Rawat, Michael T. Manry

Neural Process. Lett., 2020

2019

Multi-step Training of a Generalized Linear Classifier.

Kanishka Tyagi, Michael T. Manry

Neural Process. Lett., 2019

2017

Structural adaptation for sparsely connected MLP using Newton's method.

Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Partially affine invariant back propagation.

Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Second order design of multiclass kernel machines.

Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Discriminant vector tranformations in neural network classifiers.

Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network.

Xun Cai, Kanishka Tyagi, Michael T. Manry, Zhi Chen

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L₁ Norm.

Kanishka Tyagi, Nojun Kwak, Michael T. Manry

Proceedings of the ICPRAM 2014, 2014

2013

Neural decision directed segmentation of silicon defects.

Aditi S. Godbole, Kanishka Tyagi, Michael T. Manry

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2011

Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach.

Sandeep Kumar Yadav, Kanishka Tyagi, B. Shah, Prem Kumar Kalra

IEEE Trans. Instrum. Meas., 2011

An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation.

Xun Cai, Kanishka Tyagi, Michael T. Manry

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Fuzzy C-means clustering based construction and training for second order RBF network.

Kanishka Tyagi, Xun Cai, Michael T. Manry

Proceedings of the FUZZ-IEEE 2011, 2011

Training multilayer perceptron by using optimal input normalization.

Xun Cai, Kanishka Tyagi, Michael T. Manry

Proceedings of the FUZZ-IEEE 2011, 2011

2007

A Novel Complex-Valued Counterpropagation Network.

Prem Kumar Kalra, Deepak Mishra, Kanishka Tyagi

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007