Computing & Information Technology

Clock Skewing Strategy to Minimize Dynamic Power and Eliminate Hold Violations in ASIC Circuits

Improving Shape Awareness and Interpretability in Deep Networks

Polynomial Implicit Neural Representations for Large Diverse Datasets

Model for TCR Analysis and its Application to TCR-Epitope Binding Prediction and TCR Clustering

Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization

Self-Supervised Technique for Training Vision Transformers

Regularization Technique for Training Vision Transformers

Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing

Machine Learning Algorithm for Inferring User Activities from IoT Device Events

SRAM Design with Embedded XNOR Functionality for Binary and Ternary Neural Networks