3 papers
cs.CV2026
DANCE: Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge
Mohamed Mejri, Ashiqur Rasul, Abhijit Chatterjee
Modern convolutional neural networks (CNNs) are workhorses for video and image processing, but fail to adapt to the computational complexity of input samples in a dynamic manner to…
cs.AI2024
RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic Processing
Mohamed Mejri, Chandramouli Amarnath, Abhijit Chatterjee
Modern transformer-based encoder-decoder architectures struggle with reasoning tasks due to their inability to effectively extract relational information between input objects (dat…
cs.AI2024
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rules
Mohamed Mejri, Chandramouli Amarnath, Abhijit Chatterjee
Human cognition excels at symbolic reasoning, deducing abstract rules from limited samples. This has been explained using symbolic and connectionist approaches, inspiring the devel…