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ORCIDKanishka Tyagi
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2020 – today
- 2024
[j5]Chinmay Rane, Kanishka Tyagi, Adrienne Kline, Tushar Chugh, Michael T. Manry:
Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions. Evol. Intell. 17(5): 4083-4093 (2024)- [c19]Tushar Chugh, Kanishka Tyagi, Rolly Seth:
Machine Learning Techniques for Non-Intrusive Load Monitoring for Enhanced Energy Predictions. CCWC 2024: 322-328 - [c18]Tushar Chugh, Kanishka Tyagi, Pranesh Srinivasan, Jeshwanth Challagundla:
State-Based Dynamic Graph with Breadth First Progression For Autonomous Robots. CCWC 2024: 365-369 - [c17]Jeshwanth Challagundla, Kanishka Tyagi, Tushar Chugh, Michael T. Manry:
Multiple Gain Adaptations for Improved Neural Networks Training. CCWC 2024: 414-420 - [c16]Tushar Chugh
, Kanishka Tyagi, Adi Mopidevi, Rolly Seth:
From Aisles to Smiles: Carrey's Impact on Customer Journey. HRI (Companion) 2024: 337-341 - [c15]Chinmay Rane, Kanishka Tyagi, Tushar Chugh, Nirmala Murali:
Dynamic Activations for Neural Net Training. Tiny Papers @ ICLR 2024 - 2023
- [c14]Steven Shaw, Kanishka Tyagi, Shan Zhang:
Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators. ACSSC 2023: 1035-1038 - [c13]Kanishka Tyagi, Shan Zhang, Yihang Zhang, John L. Kirkwood, Sanling Song, Narbik Manukian:
Machine Learning Based Early Debris Detection Using Automotive Low Level Radar Data. ICASSP 2023: 1-5 - [c12]Asish Kumar Mishra, Kanishka Tyagi, Deepak Mishra:
Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection. ICIP 2023: 3563-3567 - [i3]Steven Shaw, Kanishka Tyagi, Shan Zhang:
Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators. CoRR abs/2303.07586 (2023) - [i2]Chinmay Rane, Kanishka Tyagi, Sanjeev S. Malalur, Yash Shinge, Michael T. Manry:
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network. CoRR abs/2303.17732 (2023) - [i1]Chinmay Rane, Kanishka Tyagi, Michael T. Manry:
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions. CoRR abs/2308.05724 (2023) - 2021
- [j4]Kanishka Tyagi, Chinmay Rane, Bito Irie, Michael T. Manry:
Multistage Newton's Approach for Training Radial Basis Function Neural Networks. SN Comput. Sci. 2(5): 366 (2021) - 2020
- [j3]Kanishka Tyagi, Son Nguyen, Rohit Rawat, Michael T. Manry:
Second Order Training and Sizing for the Multilayer Perceptron. Neural Process. Lett. 51(1): 963-991 (2020)
2010 – 2019
- 2019
- [j2]Kanishka Tyagi, Michael T. Manry:
Multi-step Training of a Generalized Linear Classifier. Neural Process. Lett. 50(2): 1341-1360 (2019) - 2017
- [c11]Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Structural adaptation for sparsely connected MLP using Newton's method. IJCNN 2017: 4467-4473 - 2016
- [c10]Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry:
Partially affine invariant back propagation. IJCNN 2016: 811-818 - [c9]Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry:
Discriminant vector tranformations in neural network classifiers. IJCNN 2016: 1780-1786 - [c8]Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry:
Second order design of multiclass kernel machines. IJCNN 2016: 3233-3240 - 2014
- [c7]Kanishka Tyagi, Nojun Kwak, Michael T. Manry:
Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm. ICPRAM 2014: 207-212 - [c6]Xun Cai, Kanishka Tyagi, Michael T. Manry, Zhi Chen:
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network. IJCNN 2014: 1093-1099 - 2013
- [c5]Aditi S. Godbole, Kanishka Tyagi, Michael T. Manry:
Neural decision directed segmentation of silicon defects. IJCNN 2013: 1-8 - 2011
- [j1]Sandeep Kumar Yadav, Kanishka Tyagi, B. Shah, Prem Kumar Kalra:
Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach. IEEE Trans. Instrum. Meas. 60(4): 1217-1226 (2011) - [c4]Kanishka Tyagi, Xun Cai, Michael T. Manry:
Fuzzy C-means clustering based construction and training for second order RBF network. FUZZ-IEEE 2011: 248-255 - [c3]Xun Cai, Kanishka Tyagi, Michael T. Manry:
Training multilayer perceptron by using optimal input normalization. FUZZ-IEEE 2011: 2771-2778 - [c2]Xun Cai, Kanishka Tyagi, Michael T. Manry:
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. IJCNN 2011: 3120-3126
2000 – 2009
- 2007
- [c1]Prem Kumar Kalra, Deepak Mishra, Kanishka Tyagi:
A Novel Complex-Valued Counterpropagation Network. CIDM 2007: 81-87
Coauthor Index
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