Quantum Computing Part 1
This post introduces the fundamental concepts that differentiate quantum computing from classical computing, primarily focusing on the shift from classical bits to quantum bits (qubits) and the implications of this…
KANs: The Future of Neural Networks? Exploring the Power of Learnable Activations
The Kolmogorov-Arnold Representation Theorem The foundation of KANs lies in the Kolmogorov-Arnold Representation Theorem (KART). This theorem states that any continuous multivariate function can be represented as a superposition of…
Improved Interpretability and Explainability of Deep Learning Models
This post aims to give a thorough overview of the current state and future prospects of interpretability and explainability in deep learning, making it a valuable resource for students, researchers,…
Pytorch Skeleton Code for Binary and Multi-class Classification
In this post, I will share my GitHub repository which you may refer to develop your own model. It comprises implementation for training, testing and interpretation. This post will cover…
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins
Publication details The paper is published in the Special Issue of the ECML PKDD 2022 Journal Track - Springer Machine Learning as in 2022: click here Abstract In biomedical image…
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
Publication details The paper is published in the journal of Springer Machine Vision and Applications in 2022: click here Abstract To automate the process of delineation to highlight or identify…
Glimpse of 8th Heidelberg Laureate Forum 2021
For any young researcher, this is a dream come true opportunity to be part of HLF. Following my selection in the recent 8th HLF 2021 event, I will share my…
Distributed Deep Learning with Elephas
This posts follow from the setup of the master slave cluster using Apache Spark (here) Considering your Spark environment is ready, we can make use of Elephas library to develop…
Biomedical image analysis: Segmentation, datasets, metrics and loss functions
Biomedical image analysis The success of deep learning in image analysis has encouraged the biomedical imaging researchers to investigate its potential in analyzing various medical modalities to aid clinicians in…
Attended International Joint Conference on Neural Networks (IJCNN) 2021
About In this post, I will talk about my experience in attending the International Joint Conference on Neural Networks (IJCNN) 2021 organized by the International Neural Network Society. It is…