Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Klein, Bernhard |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
par: Stradmann, Yannik, et autres
Publié: (2021)
par: Stradmann, Yannik, et autres
Publié: (2021)
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception
par: Sharma, Deepika, et autres
Publié: (2024)
par: Sharma, Deepika, et autres
Publié: (2024)
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
par: Quintana, Fernando M., et autres
Publié: (2024)
par: Quintana, Fernando M., et autres
Publié: (2024)
Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
par: Ali, Asmer Hamid, et autres
Publié: (2024)
par: Ali, Asmer Hamid, et autres
Publié: (2024)
Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
par: Filippeschi, Giulio, et autres
Publié: (2025)
par: Filippeschi, Giulio, et autres
Publié: (2025)
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
par: Katti, Prabodh, et autres
Publié: (2023)
par: Katti, Prabodh, et autres
Publié: (2023)
Embedding Hardware Approximations in Discrete Genetic-based Training for Printed MLPs
par: Afentaki, Florentia, et autres
Publié: (2024)
par: Afentaki, Florentia, et autres
Publié: (2024)
First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
par: Zhang, Saitao, et autres
Publié: (2025)
par: Zhang, Saitao, et autres
Publié: (2025)
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
Advancing Neuromorphic Computing: Mixed-Signal Design Techniques Leveraging Brain Code Units and Fundamental Code Units
par: Isik, Murat, et autres
Publié: (2024)
par: Isik, Murat, et autres
Publié: (2024)
ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
par: Kumar, Sonu, et autres
Publié: (2025)
par: Kumar, Sonu, et autres
Publié: (2025)
A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks
par: Hafiz, Muhammad Ihsan Al, et autres
Publié: (2025)
par: Hafiz, Muhammad Ihsan Al, et autres
Publié: (2025)
Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
par: Kimura, Nanako, et autres
Publié: (2024)
par: Kimura, Nanako, et autres
Publié: (2024)
A Deep Neural Network Deployment Based on Resistive Memory Accelerator Simulation
par: Maram, Tejaswanth Reddy, et autres
Publié: (2023)
par: Maram, Tejaswanth Reddy, et autres
Publié: (2023)
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
par: Moitra, Abhishek, et autres
Publié: (2024)
par: Moitra, Abhishek, et autres
Publié: (2024)
ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
par: Wu, Haoran, et autres
Publié: (2025)
par: Wu, Haoran, et autres
Publié: (2025)
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2025)
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2025)
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
par: Chowdhury, Shuvro, et autres
Publié: (2024)
par: Chowdhury, Shuvro, et autres
Publié: (2024)
Catwalk: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks
par: Lister, Devon, et autres
Publié: (2025)
par: Lister, Devon, et autres
Publié: (2025)
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
par: Ramachandran, Akshat, et autres
Publié: (2024)
par: Ramachandran, Akshat, et autres
Publié: (2024)
You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy
par: P, Srivatsa, et autres
Publié: (2020)
par: P, Srivatsa, et autres
Publié: (2020)
Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing
par: Knunyants, Ivan, et autres
Publié: (2025)
par: Knunyants, Ivan, et autres
Publié: (2025)
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
par: Yoo, Jason, et autres
Publié: (2026)
par: Yoo, Jason, et autres
Publié: (2026)
Optimal Gradient Checkpointing for Sparse and Recurrent Architectures using Off-Chip Memory
par: Bencheikh, Wadjih, et autres
Publié: (2024)
par: Bencheikh, Wadjih, et autres
Publié: (2024)
Stuck-at Faults in ReRAM Neuromorphic Circuit Array and their Correction through Machine Learning
par: Sawal, Vedant, et autres
Publié: (2024)
par: Sawal, Vedant, et autres
Publié: (2024)
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers
par: Dong, Pingcheng, et autres
Publié: (2024)
par: Dong, Pingcheng, et autres
Publié: (2024)
Automated Placement of Analog Integrated Circuits using Priority-based Constructive Heuristic
par: Grus, Josef, et autres
Publié: (2024)
par: Grus, Josef, et autres
Publié: (2024)
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching
par: Zhang, Pengmiao, et autres
Publié: (2023)
par: Zhang, Pengmiao, et autres
Publié: (2023)
EasyACIM: An End-to-End Automated Analog CIM with Synthesizable Architecture and Agile Design Space Exploration
par: Zhang, Haoyi, et autres
Publié: (2024)
par: Zhang, Haoyi, et autres
Publié: (2024)
NeuroNAS: Enhancing Efficiency of Neuromorphic In-Memory Computing for Intelligent Mobile Agents through Hardware-Aware Spiking Neural Architecture Search
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
par: Putra, Rachmad Vidya Wicaksana, et autres
Publié: (2024)
HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators
par: Vaziri, Mobin, et autres
Publié: (2024)
par: Vaziri, Mobin, et autres
Publié: (2024)
Functional Stability of Software-Hardware Neural Network Implementation The NeuroComp Project
par: Oleksii, Bychkov, et autres
Publié: (2025)
par: Oleksii, Bychkov, et autres
Publié: (2025)
FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
par: Raha, Arnab, et autres
Publié: (2024)
par: Raha, Arnab, et autres
Publié: (2024)
Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
par: Somathilaka, Samitha, et autres
Publié: (2024)
par: Somathilaka, Samitha, et autres
Publié: (2024)
UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
par: Xing, Qinghui, et autres
Publié: (2026)
par: Xing, Qinghui, et autres
Publié: (2026)
Approximate ADCs for In-Memory Computing
par: Ghosh, Arkapravo, et autres
Publié: (2024)
par: Ghosh, Arkapravo, et autres
Publié: (2024)
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
par: Zhu, Xueke, et autres
Publié: (2024)
par: Zhu, Xueke, et autres
Publié: (2024)
SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
par: Gunawardana, Kanishka, et autres
Publié: (2026)
par: Gunawardana, Kanishka, et autres
Publié: (2026)
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
par: Ottati, Fabrizio, et autres
Publié: (2023)
par: Ottati, Fabrizio, et autres
Publié: (2023)
RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN
par: Khan, Mohd Faisal, et autres
Publié: (2025)
par: Khan, Mohd Faisal, et autres
Publié: (2025)
Documents similaires
-
Demonstrating Analog Inference on the BrainScaleS-2 Mobile System
par: Stradmann, Yannik, et autres
Publié: (2021) -
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception
par: Sharma, Deepika, et autres
Publié: (2024) -
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
par: Quintana, Fernando M., et autres
Publié: (2024) -
Energy-Aware FPGA Implementation of Spiking Neural Network with LIF Neurons
par: Ali, Asmer Hamid, et autres
Publié: (2024) -
Hardware-Aware Model Design and Training of Silicon-based Analog Neural Networks
par: Filippeschi, Giulio, et autres
Publié: (2025)