Srinivasan Sivanandan
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View article: Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing
Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing Open
State Space Models (SSMs) with selective scan (Mamba) have been adapted into efficient vision models. Mamba, unlike Vision Transformers, achieves linear complexity for token interactions through a recurrent hidden state process. This seque…
View article: Deep Learning Analysis on Images of iPSC-derived Motor Neurons Carrying fALS-genetics Reveals Disease-Relevant Phenotypes
Deep Learning Analysis on Images of iPSC-derived Motor Neurons Carrying fALS-genetics Reveals Disease-Relevant Phenotypes Open
Summary Amyotrophic lateral sclerosis (ALS) is a devastating condition with very limited treatment options. It is a heterogeneous disease with complex genetics and unclear etiology, making the discovery of disease-modifying interventions v…
View article: Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words Open
Vision Transformer (ViT) has emerged as a powerful architecture in the realm of modern computer vision. However, its application in certain imaging fields, such as microscopy and satellite imaging, presents unique challenges. In these doma…
View article: A Pooled Cell Painting CRISPR Screening Platform Enables de novo Inference of Gene Function by Self-supervised Deep Learning
A Pooled Cell Painting CRISPR Screening Platform Enables de novo Inference of Gene Function by Self-supervised Deep Learning Open
Pooled CRISPR screening has emerged as a powerful method of mapping gene functions thanks to its scalability, affordability, and robustness against well or plate-specific confounders present in array-based screening 1–6 . Most pooled CRISP…
View article: A community effort to create standards for evaluating tumor subclonal reconstruction
A community effort to create standards for evaluating tumor subclonal reconstruction Open
View article: Dyna-AIL : Adversarial Imitation Learning by Planning
Dyna-AIL : Adversarial Imitation Learning by Planning Open
Adversarial methods for imitation learning have been shown to perform well on various control tasks. However, they require a large number of environment interactions for convergence. In this paper, we propose an end-to-end differentiable a…
View article: Hybrid Fuzzy Jordan Network for Robust and Efficient Intrusion Detection System
Hybrid Fuzzy Jordan Network for Robust and Efficient Intrusion Detection System Open
Objective:The main objective ofthis paper is to improve the intrusion detection accuracy of neural networks by hybridizedwith Jordan network, applying novel Lyapunov function and changing input values as fuzzy values using fuzzy logic. Met…