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2020 – today
- 2024
[j1]Kaumudi Joshi
, Vukka Snigdha, Arya Kumar Bhattacharya:
Physics Informed Extreme Learning Machines With Residual Variation Diminishing Scheme for Nonlinear Problems With Discontinuous Surfaces. IEEE Access 12: 130617-130629 (2024)- [c4]Prafulla Kalapatapu, Ishaan Chigilli Palli, Ravi Teja Gangavarapu, Arya Kumar Bhattacharya, Nartkannai K:
Emotion Aligned Music Composition from Sound Fundamentals Using Differential Evolution. CEC 2024: 1-8 - 2023
- [i2]Mayank Deshpande, Siddharth Agarwal, Vukka Snigdha, Arya Kumar Bhattacharya:
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. CoRR abs/2301.02790 (2023) - [i1]Kaumudi Joshi, Vukka Snigdha, Arya Kumar Bhattacharya:
Constructing Extreme Learning Machines with zero Spectral Bias. CoRR abs/2307.09759 (2023) - 2022
- [c3]Mayank Deshpande, Siddharth Agarwal, Arya Kumar Bhattacharya:
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders. SSCI 2022: 1172-1179 - 2021
- [c2]Zakaria Oussalem, Rochan Avlur Venkat, Jahnavi Malagavalli, Arya Kumar Bhattacharya:
Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution. CEC 2021: 1209-1216 - [c1]Rochan Avlur Venkat, Zakaria Oussalem, Arya Kumar Bhattacharya:
Training Convolutional Neural Networks with Differential Evolution using Concurrent Task Apportioning on Hybrid CPU-GPU Architectures. CEC 2021: 2567-2576
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