Kanishka Tyagi

28 papers B 10C 2Misc 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
Dynamic Activations for Neural Net Training.
Tiny Papers @ ICLR
Chinmay Rane, Kanishka Tyagi, Tushar Chugh, Nirmala Murali
2024 — conf
From Aisles to Smiles: Carrey's Impact on Customer Journey.
HRI (Companion)
Tushar Chugh, Kanishka Tyagi, Adi Mopidevi, Rolly Seth
2024 — conf
Machine Learning Techniques for Non-Intrusive Load Monitoring for Enhanced Energy Predictions.
CCWC
Tushar Chugh, Kanishka Tyagi, Rolly Seth
2024 J jnl
Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification.
CoRR
Kanishka Tyagi, Chinmay Rane, Ketaki Vaidya, Jeshwanth Challagundla, Soumitro Swapan Auddy, Michael T. Manry
2024 — conf
Multiple Gain Adaptations for Improved Neural Networks Training.
CCWC
Jeshwanth Challagundla, Kanishka Tyagi, Tushar Chugh, Michael T. Manry
2024 J jnl
Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions.
Evol. Intell.
Chinmay Rane, Kanishka Tyagi, Adrienne Kline, Tushar Chugh, Michael T. Manry
2024 — conf
State-Based Dynamic Graph with Breadth First Progression For Autonomous Robots.
CCWC
Tushar Chugh, Kanishka Tyagi, Pranesh Srinivasan, Jeshwanth Challagundla
2023 Misc conf
Machine Learning Based Early Debris Detection Using Automotive Low Level Radar Data.
ICASSP
Kanishka Tyagi, Shan Zhang, Yihang Zhang, John L. Kirkwood, Sanling Song, Narbik Manukian
2023 J jnl
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network.
CoRR
Chinmay Rane, Kanishka Tyagi, Sanjeev S. Malalur, Yash Shinge, Michael T. Manry
2023 J jnl
Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions.
CoRR
Chinmay Rane, Kanishka Tyagi, Michael T. Manry
2023 Misc conf
Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators.
ACSSC
Steven Shaw, Kanishka Tyagi, Shan Zhang
2023 J jnl
Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators.
CoRR
Steven Shaw, Kanishka Tyagi, Shan Zhang
2023 B conf
Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection.
ICIP
Asish Kumar Mishra, Kanishka Tyagi, Deepak Mishra
2021 J jnl
Multistage Newton's Approach for Training Radial Basis Function Neural Networks.
SN Comput. Sci.
Kanishka Tyagi, Chinmay Rane, Bito Irie, Michael T. Manry
2020 J jnl
Second Order Training and Sizing for the Multilayer Perceptron.
Neural Process. Lett.
Kanishka Tyagi, Son Nguyen, Rohit Rawat, Michael T. Manry
2019 J jnl
Multi-step Training of a Generalized Linear Classifier.
Neural Process. Lett.
Kanishka Tyagi, Michael T. Manry
2017 B conf
Structural adaptation for sparsely connected MLP using Newton's method.
IJCNN
Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry
2016 B conf
Discriminant vector tranformations in neural network classifiers.
IJCNN
Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry
2016 B conf
Partially affine invariant back propagation.
IJCNN
Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry
2016 B conf
Second order design of multiclass kernel machines.
IJCNN
Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry
2014 B conf
An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network.
IJCNN
Xun Cai, Kanishka Tyagi, Michael T. Manry, Zhi Chen
2014 C conf
Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L
ICPRAM
Kanishka Tyagi, Nojun Kwak, Michael T. Manry
2013 B conf
Neural decision directed segmentation of silicon defects.
IJCNN
Aditi S. Godbole, Kanishka Tyagi, Michael T. Manry
2011 B conf
An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation.
IJCNN
Xun Cai, Kanishka Tyagi, Michael T. Manry
2011 J jnl
Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach.
IEEE Trans. Instrum. Meas.
Sandeep Kumar Yadav, Kanishka Tyagi, B. Shah, Prem Kumar Kalra
2011 B conf
Fuzzy C-means clustering based construction and training for second order RBF network.
FUZZ-IEEE
Kanishka Tyagi, Xun Cai, Michael T. Manry
2011 B conf
Training multilayer perceptron by using optimal input normalization.
FUZZ-IEEE
Xun Cai, Kanishka Tyagi, Michael T. Manry
2007 C conf
A Novel Complex-Valued Counterpropagation Network.
CIDM
Prem Kumar Kalra, Deepak Mishra, Kanishka Tyagi