| Papers | |
|---|---|
 
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A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude
A. Joshi, P. Singh, and R. Balasubramanian IEEE Transactions on Geoscience and Remote Sensing, 2024 doi:10.1109/TGRS.2024.3459425 |
 
|
Towards Engagement Prediction: A Cross-Modality Dual-Pipeline
Approach using Visual and Audio Features
D. Kumar, S. Madan, P. Singh, A. Dhall, and R. Balasubramanian ACM MULTIMEDIA 2024, 28 October - 1 November 2024, Melbourne, Australia |
 
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All Signals Point to Personality: A Dual-Pipeline LSTM-Attention and Symbolic Dynamics Framework for Predicting Personality Traits from Bio-Electrical Signals
D. Kumar, P. Singh, and R. Balasubramanian Biomedical Signal Processing and Control, Elsevier, vol. 96 (A), 2024 doi:10.1016/j.bspc.2024.106609 |
 
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Neuro-Emotional Mapping of Human Emotions via EEG Signals
D. Kumar, P. Singh, A. Kumar, S. Ghosh, and R. Balasubramanian 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG), 27-31 May 2024, Istanbul, Turkey |
 
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Integrating Physiological Signals with Dynamical
Attention Networks for Personality Trait Analysis
D. Kumar, P. Singh, Richa, K.B. Nampalle, and R. Balasubramanian International Joint Conference on Neural Networks (IJCNN 2024), 30 June - 5 July 2024, Yokohama, Japan |
 
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Echoes of Images: Multi-Loss Network for Image Retrieval in Vision Transformers
A. Pundhir, S. Sagar, P. Singh, and R. Balasubramanian Medical & Biological Engineering & Computing, Springer Nature, 2024 doi:10.1007/s11517-024-03055-6 |
 
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Coding Of Billiards In Hyperbolic 3-Space
P. Singh Journal of Dynamical and Control Systems, Springer Nature, 2024 (to appear) |
 
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Bratteli-Vershikizability of Polygonal Billiards on the Hyperbolic Plane
A. Nagar and P. Singh Journal of the Australian Mathematical Society, Cambridge University Press, 2023 doi:10.1017/S1446788723000174 |
 
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Finiteness in Polygonal Billiards on Hyperbolic Plane
A. Nagar and P. Singh Topological Methods in Nonlinear Analysis, Juliusz Schauder Center for Nonlinear Studies, 2021 doi:10.12775/TMNA.2021.003 |
| Books | |
|---|---|
 
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Deep Learning Through the Prism of Tensors
P. Singh and R. Balasubramanian Springer Singapore, 2024, ISBN: 978-981-97-8018-1 |
 
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Bits and Bots
P. Singh Kindle Publishing, 2023, ISBN: 979-886-81-3470-8 |
| Resources | |
|---|---|
 
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Geometric Deep Learning
Grids, Groups, Graphs, Geodesics, and Gauges Towards Geometric Deep Learning Brief Introduction to GDL |