Ashish Kumar Pandey

23 papers A* 3Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Forecasting Formation of a Tropical Cyclone Using Reanalysis Data.
Adv. Artif. Intell. Mach. Learn.
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2024 J jnl
Modulational Instability in the Ostrovsky Equation and Related Models.
SIAM J. Math. Anal.
Bhavna, Mathew A. Johnson, Ashish Kumar Pandey
2023 J jnl
Will a tropical cyclone make landfall?
Neural Comput. Appl.
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2022 A* conf
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions.
AAAI
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2022 J jnl
Forecasting formation of a Tropical Cyclone Using Reanalysis Data.
CoRR
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2022 — conf
SAU: Smooth Activation Function Using Convolution with Approximate Identities.
ECCV (21)
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2022 A* conf
Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique.
CVPR
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2021 — conf
EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance.
ICANN (2)
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2021 J jnl
ErfAct and PSerf: Non-monotonic smooth trainable Activation Functions.
CoRR
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2021 J jnl
Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network.
CoRR
Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey
2021 J jnl
Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks.
CoRR
Koushik Biswas, Shilpak Banerjee, Ashish Kumar Pandey
2021 — conf
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data.
ICANN (4)
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2021 J jnl
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data.
CoRR
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2021 A* conf
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone.
AAAI
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2021 J jnl
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone.
CoRR
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2021 J jnl
SAU: Smooth activation function using convolution with approximate identities.
CoRR
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2021 J jnl
SMU: smooth activation function for deep networks using smoothing maximum technique.
CoRR
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2021 J jnl
TanhSoft - Dynamic Trainable Activation Functions for Faster Learning and Better Performance.
IEEE Access
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2021 — conf
Track Prediction of Tropical Cyclones Using Long Short-Term Memory Network.
CCWC
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
2021 J jnl
Tropical cyclone intensity estimations over the Indian ocean using Machine Learning.
CoRR
Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey
2020 J jnl
EIS - a family of activation functions combining Exponential, ISRU, and Softplus.
CoRR
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2020 J jnl
TanhSoft - a family of activation functions combining Tanh and Softplus.
CoRR
Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey
2019 J jnl
Neo-Bedside Monitoring Device for Integrated Neonatal Intensive Care Unit (iNICU).
IEEE Access
Harpreet Singh, Ravneet Kaur, Abhilash Gangadharan, Ashish Kumar Pandey, Ashray Manur, Yao Sun, Satish Saluja, Shubham Gupta, Jonathan P. Palma, Praveen Kumar