Efficient lattice field theory simulation using adaptive normalizing flow on a resistive memory-based neural differential equation solver
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Meng, Yang, Jichang, Lin, Ning, Xu, Qundao, Tang, Siqi, Wang, Han, Qi, Xiaojuan, Wang, Zhongrui, Xu, Ming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices
by: Loong, Kam Chi, et al.
Published: (2024)
by: Loong, Kam Chi, et al.
Published: (2024)
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
by: Qiu, Xuerui, et al.
Published: (2024)
by: Qiu, Xuerui, et al.
Published: (2024)
Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
by: Wang, Bo, et al.
Published: (2024)
by: Wang, Bo, et al.
Published: (2024)
STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
by: Xu, Changqing, et al.
Published: (2023)
by: Xu, Changqing, et al.
Published: (2023)
Towards free-response paradigm: a theory on decision-making in spiking neural networks
by: Zhu, Zhichao, et al.
Published: (2024)
by: Zhu, Zhichao, et al.
Published: (2024)
Dynamic neural network with memristive CIM and CAM for 2D and 3D vision
by: Zhang, Yue, et al.
Published: (2024)
by: Zhang, Yue, et al.
Published: (2024)
Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model
by: Yang, Jichang, et al.
Published: (2024)
by: Yang, Jichang, et al.
Published: (2024)
An ontology alignment method with user intervention using compact differential evolution with adaptive parameter control
by: Lv, Zhaoming
Published: (2024)
by: Lv, Zhaoming
Published: (2024)
TDE-3: An improved prior for optical flow computation in spiking neural networks
by: Yedutenko, Matthew, et al.
Published: (2024)
by: Yedutenko, Matthew, et al.
Published: (2024)
Experiment on creating a neural network with weights determined by the potential of a simulated electrostatic field
by: Polad, Geidarov
Published: (2025)
by: Polad, Geidarov
Published: (2025)
Quality Diversity Genetic Programming for Learning Scheduling Heuristics
by: Xu, Meng, et al.
Published: (2025)
by: Xu, Meng, et al.
Published: (2025)
TransGP: Task-Conditioned Transformer-Guided Genetic Programming for Multitask Dynamic Flexible Job Shop Scheduling
by: Xu, Meng, et al.
Published: (2026)
by: Xu, Meng, et al.
Published: (2026)
Probing the Representational Geometry of Color Qualia: Dissociating Pure Perception from Task Demands in Brains and AI Models
by: Xu, Jing
Published: (2025)
by: Xu, Jing
Published: (2025)
Octopus Inspired Optimization (OIO): A Hierarchical Framework for Navigating Protein Fitness Landscapes
by: Wang, Xu, et al.
Published: (2024)
by: Wang, Xu, et al.
Published: (2024)
SO-PIFRNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations
by: Linghu, Jiale, et al.
Published: (2025)
by: Linghu, Jiale, et al.
Published: (2025)
Deep Reinforcement Learning-Assisted Component Auto-Configuration of Differential Evolution Algorithm for Constrained Optimization: A Foundation Model
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
Ternary Spiking Neural Networks Enhanced by Complemented Neurons and Membrane Potential Aggregation
by: Zhang, Boxuan, et al.
Published: (2026)
by: Zhang, Boxuan, et al.
Published: (2026)
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
by: Lv, Changze, et al.
Published: (2025)
by: Lv, Changze, et al.
Published: (2025)
Implementation of high-efficiency, lightweight residual spiking neural network processor based on field-programmable gate arrays
by: Yue, Hou, et al.
Published: (2025)
by: Yue, Hou, et al.
Published: (2025)
A rationale from frequency perspective for grokking in training neural network
by: Zhou, Zhangchen, et al.
Published: (2024)
by: Zhou, Zhangchen, et al.
Published: (2024)
Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks
by: Zhang, Yanlin, et al.
Published: (2026)
by: Zhang, Yanlin, et al.
Published: (2026)
Large Language Model Assisted Automated Algorithm Generation and Evolution via Meta-black-box optimization
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
by: Xu, Zekai, et al.
Published: (2024)
by: Xu, Zekai, et al.
Published: (2024)
Benchmarking Hebbian learning rules for associative memory
by: Lansner, Anders, et al.
Published: (2023)
by: Lansner, Anders, et al.
Published: (2023)
Banach neural operator for Navier-Stokes equations
by: Zhang, Bo
Published: (2025)
by: Zhang, Bo
Published: (2025)
SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems
by: Nembhani, Prithvish V, et al.
Published: (2025)
by: Nembhani, Prithvish V, et al.
Published: (2025)
Spiking Wavelet Transformer
by: Fang, Yuetong, et al.
Published: (2024)
by: Fang, Yuetong, et al.
Published: (2024)
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)
by: Xu, Shang, et al.
Published: (2025)
A differentiable brain simulator bridging brain simulation and brain-inspired computing
by: Wang, Chaoming, et al.
Published: (2023)
by: Wang, Chaoming, et al.
Published: (2023)
An Adaptive Balance Search Based Complementary Heterogeneous Particle Swarm Optimization Architecture
by: Zhang, Zhenxing, et al.
Published: (2024)
by: Zhang, Zhenxing, et al.
Published: (2024)
Fairness-Aware Performance Evaluation for Multi-Party Multi-Objective Optimization
by: Zhao, Zifan, et al.
Published: (2026)
by: Zhao, Zifan, et al.
Published: (2026)
Neuro-Vesicles: Neuromodulation Should Be a Dynamical System, Not a Tensor Decoration
by: Li, Zilin, et al.
Published: (2025)
by: Li, Zilin, et al.
Published: (2025)
Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
by: Sun, Pengfei, et al.
Published: (2025)
by: Sun, Pengfei, et al.
Published: (2025)
Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)
by: Huang, Yanbin, et al.
Published: (2026)
Towards Biologically Plausible Computing: A Comprehensive Comparison
by: Lv, Changze, et al.
Published: (2024)
by: Lv, Changze, et al.
Published: (2024)
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
by: Song, Yu, et al.
Published: (2024)
by: Song, Yu, et al.
Published: (2024)
PyVRP: a high-performance VRP solver package
by: Wouda, Niels A., et al.
Published: (2023)
by: Wouda, Niels A., et al.
Published: (2023)
Biologically Plausible Learning via Bidirectional Spike-Based Distillation
by: Lv, Changze, et al.
Published: (2025)
by: Lv, Changze, et al.
Published: (2025)
Large Language Models as Particle Swarm Optimizers
by: Shinohara, Yamato, et al.
Published: (2025)
by: Shinohara, Yamato, et al.
Published: (2025)
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks
by: Jiang, Jiaqiang, et al.
Published: (2025)
by: Jiang, Jiaqiang, et al.
Published: (2025)
Similar Items
-
RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices
by: Loong, Kam Chi, et al.
Published: (2024) -
When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
by: Qiu, Xuerui, et al.
Published: (2024) -
Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
by: Wang, Bo, et al.
Published: (2024) -
STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
by: Xu, Changqing, et al.
Published: (2023) -
Towards free-response paradigm: a theory on decision-making in spiking neural networks
by: Zhu, Zhichao, et al.
Published: (2024)