RP
Rachmad Vidya Wicaksana Putra
cs.LGcs.NEcs.AIcs.ARcs.ROcs.DCspiking neural networksenergy efficiencyresilienceaccelerators
On Valency
published · living versionsW_gg627hxz·v1 · currentpublished
ENCL: Enabling Efficient Neuromorphic Continual Learning with Local Learning Rule and Sub-Network Freezing Strategy
with Shuochen Zhou, Hassan Raza, Muhammad Shafique
1 version
Preprints & journals
42 papers in the corpus · 2018–2026MorphAtt: A Neuromorphic Accelerator for Efficient Multi-Head Attention Processing in Spiking Vision Transformers2609.33207v1 · Rachmad Vidya Wicaksana Putra, Amirhesam Jafari Rad, Muhammad Shafique2026 · 0 citationsarXiv
MTLiquid: Enabling Efficient Multi-Task Learning using Liquid Neural Networks for Lightweight Healthcare Monitoring Systems2609.33232v1 · Rachmad Vidya Wicaksana Putra, Fahad Abdul Rauf, Muhammad Shafique2026 · 0 citationsarXiv
MDTransformer: A Hardware-Software Co-Design of Mode-Division Photonic Transformer Accelerator with Inverse-Designed Coherent Crossbar2607.26016v1 · Solomon Micheal Serunjogi, Rachmad Vidya Wicaksana Putra, Ayat Taha et al.2026 · 0 citationsarXiv
AQ4SViT: An Automated Quantization Framework with Search Gating Policy for Compressing Spiking Vision Transformers2606.15523v1 · Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique2026 · 0 citationsarXiv
QuBLAST: A Framework for Quantizing Large Language Models with Block-Level Compression Approach and Activation Scaling Strategy2606.04620v1 · Pasindu Wickramasinghe, Achyuta Muthuvelan, Rachmad Vidya Wicaksana Putra et al.2026 · 0 citationsarXiv
PSViT: A Methodology for Structurally Pruning Spiking Vision Transformers2606.03257v1 · Rachmad Vidya Wicaksana Putra, Achyuta Muthuvelan, Alberto Marchisio et al.2026 · 0 citationsarXiv
PrimeSVT: An Automated Memory-aware Pruning Framework with Prioritized Compression Policy for Spiking Vision Transformers2606.03428v1 · Rachmad Vidya Wicaksana Putra, Achyuta Muthuvelan, Alberto Marchisio et al.2026 · 0 citationsarXiv
DxPTA: An Architecture Design Space Exploration with Optical Dataflow-guided Strategy for HW/SW Co-Design of Photonic Transformer Accelerators2606.06515v1 · Rachmad Vidya Wicaksana Putra, Solomon Micheal Serunjogi, Mahmoud Rasras et al.2026 · 0 citationsarXiv
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models2604.21952v1 · Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif et al.2026 · 0 citationsarXiv
SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning2604.11022v1 · Nouhaila Innan, Rachmad Vidya Wicaksana Putra, Muhammad Shafique2026 · 0 citations2026 International Joint Conference on Neural Networks (IJCNN), Maastricht, Netherlands, 2026, pp. 1-8
QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models2601.00679v2 · Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique2026 · 1 citationarXiv
SpikeVox: Towards Energy-Efficient Speech Therapy Framework with Spike-driven Generative Language Models2510.15566v1 · Rachmad Vidya Wicaksana Putra, Aadithyan Rajesh Nair, Muhammad Shafique2025 · 0 citationsarXiv
Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents2504.13541v5 · Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad Shafique2025 · 0 citationsarXiv
QSViT: A Methodology for Quantizing Spiking Vision Transformers2504.00948v1 · Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique2025 · 4 citationsarXiv
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems2504.00957v2 · Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique2025 · 7 citationsarXiv
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems2503.17061v1 · Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad et al.2025 · 2 citationsarXiv
Enabling Energy-Efficient Simultaneous Multi-Task Reinforcement Learning through Spiking Neural Networks with Active Dendrites for Bio-inspired Generalist Agents2412.04847v2 · Rachmad Vidya Wicaksana Putra, Avaneesh Devkota, Muhammad Shafique2024 · 0 citationsarXiv
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications2410.09218v3 · Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad et al.2024 · 12 citationsarXiv
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy2408.02412v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2024 · 0 citationsarXiv
SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents.39131197 · Putra, Rachmad Vidya Wicaksana, Marchisio, Alberto, Shafique, Muhammad2024 · 16 citationsFrontiers in robotics and AI. 2024;11:1401677
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems2407.05262v2 · Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio et al.2024 · 5 citationsarXiv
NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search2407.00641v3 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2024 · 1 citationarXiv
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack2404.03325v2 · Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer et al.2024 · 22 citationsarXiv
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data2404.03493v3 · Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio et al.2024 · 5 citationsarXiv
SpiKernel: A Kernel Size Exploration Methodology for Improving Accuracy of the Embedded Spiking Neural Network Systems2404.01685v3 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2024 · 4 citationsarXiv
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems2402.11322v4 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2024 · 9 citationsarXiv
RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults.37123371 · Putra, Rachmad Vidya Wicaksana, Hanif, Muhammad Abdullah, Shafique, Muhammad2023 · 11 citationsFrontiers in neuroscience. 2023;17:1159440
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents2303.01826v2 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2023 · 14 citationsarXiv
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks2212.12620v1 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2022 · 6 citationsarXiv
EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systems.36033624 · Putra, Rachmad Vidya Wicaksana, Hanif, Muhammad Abdullah, Shafique, Muhammad2022 · 24 citationsFrontiers in neuroscience. 2022;16:937782
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks2206.08656v1 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2022 · 5 citationsarXiv
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents2205.12295v1 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2022 · 15 citationsarXiv
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors2203.05523v2 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2022 · 5 citationsarXiv
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework2109.09829v1 · Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra et al.2021 · 58 citationsarXiv
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories2108.10271v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2021 · 41 citationsarXiv
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks2107.01807v1 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2021 · 59 citationsarXiv
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM2103.00421v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2021 · 32 citationsarXiv
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments2103.00424v1 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2021 · 36 citationsarXiv
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks2007.08860v1 · Rachmad Vidya Wicaksana Putra, Muhammad Shafique2020 · 72 citationsarXiv
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks2004.10341v1 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2020 · 34 citationsarXiv
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators1902.10222v2 · Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique2019 · 32 citationsarXiv
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks1810.12910v1 · Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir et al.2018 · 18 citationsarXiv
Career total: 95 works. 42 are in this corpus.
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