Rajat Mani Thomas

15 papers A 1B 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Pushing the Limits of Gradient Descent for Efficient Learning on Large Images. Trans. Mach. Learn. Res. Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad, Rajat Mani Thomas
2022	J	`jnl`	Benchmarking Graph Neural Networks for FMRI analysis. CoRR Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
2022	J	`jnl`	Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models. CoRR Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen
2022	—	`conf`	fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models. MLCN@MICCAI Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
2022	J	`jnl`	fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models. CoRR Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen
2021	—	`conf`	Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling. MLCN@MICCAI Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
2021	J	`jnl`	Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling. CoRR Ahmed El Gazzar, Rajat Mani Thomas, Guido van Wingen
2021	J	`jnl`	Improving Solar Cell Metallization Designs using Convolutional Neural Networks. CoRR Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta
2021	A	`conf`	Livestock Monitoring with Transformer. BMVC Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya
2021	J	`jnl`	Livestock Monitoring with Transformer. CoRR Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya
2020	J	`jnl`	A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study. CoRR Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
2020	—	`conf`	Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas
2019	—	`conf`	A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study. OR/MLCN@MICCAI Ahmed El Gazzar, Mirjam Quaak, Leonardo Cerliani, Peter Bloem, Guido van Wingen, Rajat Mani Thomas
2019	B	`conf`	Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. IJCNN Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas
2019	J	`jnl`	Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism. CoRR Ahmed El Gazzar, Leonardo Cerliani, Guido van Wingen, Rajat Mani Thomas