Papers

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


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

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


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



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

Coding Of Billiards In Hyperbolic 3-Space
P. Singh
Journal of Dynamical and Control Systems, Springer Nature, 2024 (to appear)

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

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


Deep Learning Through the Prism of Tensors
P. Singh and R. Balasubramanian
Springer Singapore, 2024, ISBN: 978-981-97-8018-1

Bits and Bots
P. Singh
Kindle Publishing, 2023, ISBN: 979-886-81-3470-8


Resources


Geometric Deep Learning
Grids, Groups, Graphs, Geodesics, and Gauges
Towards Geometric Deep Learning
Brief Introduction to GDL

Machine Intelligence Lab
Department of Computer Science and Engineering
IIT Roorkee