works on

From the 1 of 12 linked papers with an AI index.

activity
20242026
collaborators

12 papers

cs.NE2026

Enabling Energy-Efficient Simultaneous Multi-Task Reinforcement Learning through Spiking Neural Networks with Active Dendrites for Bio-inspired Generalist Agents

Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad Shafique

The paper introduces MTSpark, a method that combines spiking neural networks with active dendrites to enable energy‑efficient simultaneous multi‑task reinforcement learning, achiev…

cs.NE2026

AQ4SViT: An Automated Quantization Framework with Search Gating Policy for Compressing Spiking Vision Transformers

Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique

Spiking Vision Transformers (SViTs) have emerged as alternative low-power ViT models, but their large sizes hinder their deployments on resource-constrained embedded AI systems. To…

cs.NE2026

PrimeSVT: An Automated Memory-aware Pruning Framework with Prioritized Compression Policy for Spiking Vision Transformers

Rachmad Vidya Wicaksana Putra, Achyuta Muthuvelan, Alberto Marchisio +1

The large sizes of Spiking Vision Transformers (SViTs) still hinder their embedded implementation, highlighting the need for model compression. State-of-the-art works compress SViT…

cs.NE2026

QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models

Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique

Large Language Models (LLMs) have been emerging as prominent AI models for solving many natural language tasks due to their high performance (e.g., accuracy) and capabilities in ge…

cs.NE2026

Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents

Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad Shafique

Training resource-constrained autonomous agents on multiple tasks simultaneously is crucial for adapting to diverse real-world environments. Recent works employ reinforcement learn…

cs.SD2025

SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models

Rachmad Vidya Wicaksana Putra, Aadithyan Rajesh Nair, Muhammad Shafique

Speech disorders can significantly affect the patients capability to communicate, learn, and socialize. However, existing speech therapy solutions (e.g., therapist or tools) are st…