Saved in:
| Main Authors: | Chen, Siqi, Wang, Zhiqiang, Deng, Xianqi, Shen, Yili, Ju, Cheng-Wei, Yi, Jun, Xiong, Lin, Ling, Guo, Alhmoud, Dieaa, Guan, Hui, Lin, Zhou |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.01578 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
by: Chen, Siqi, et al.
Published: (2026)
by: Chen, Siqi, et al.
Published: (2026)
Generative Design of Functional Metal Complexes Utilizing the Internal Knowledge of Large Language Models
by: Lu, Jieyu, et al.
Published: (2024)
by: Lu, Jieyu, et al.
Published: (2024)
Hybrid Quantum-Classical Encoding for Accurate Residue-Level pKa Prediction
by: Le, Van, et al.
Published: (2026)
by: Le, Van, et al.
Published: (2026)
Active Learning in Symbolic Regression with Physical Constraints
by: Medina, Jorge, et al.
Published: (2023)
by: Medina, Jorge, et al.
Published: (2023)
Generating new coordination compounds via multireference simulations, genetic algorithms and machine learning: the case of Co(II) molecular magnets
by: Frangoulis, Lion, et al.
Published: (2025)
by: Frangoulis, Lion, et al.
Published: (2025)
Efficient Evolutionary Search Over Chemical Space with Large Language Models
by: Wang, Haorui, et al.
Published: (2024)
by: Wang, Haorui, et al.
Published: (2024)
Human-level molecular optimization driven by mol-gene evolution
by: Fang, Jiebin, et al.
Published: (2024)
by: Fang, Jiebin, et al.
Published: (2024)
Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization
by: Kinoshita, Takato, et al.
Published: (2022)
by: Kinoshita, Takato, et al.
Published: (2022)
Evolutionary Brain-Body Co-Optimization Consistently Fails to Select for Morphological Potential
by: Mertan, Alican, et al.
Published: (2025)
by: Mertan, Alican, et al.
Published: (2025)
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training
by: Zhu, Xueke, et al.
Published: (2024)
by: Zhu, Xueke, et al.
Published: (2024)
An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)
by: Shang, Ke, et al.
Published: (2026)
LLM-Augmented Chemical Synthesis and Design Decision Programs
by: Wang, Haorui, et al.
Published: (2025)
by: Wang, Haorui, et al.
Published: (2025)
The Potential of Combined Learning Strategies to Enhance Energy Efficiency of Spiking Neuromorphic Systems
by: Sichani, Ali Shiri, et al.
Published: (2024)
by: Sichani, Ali Shiri, et al.
Published: (2024)
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
by: Zheng, Weijie, et al.
Published: (2023)
by: Zheng, Weijie, et al.
Published: (2023)
Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)
by: Wietheger, Simon, et al.
Published: (2024)
Backpropagation through Soft Body: Investigating Information Processing in Brain-Body Coupling Systems
by: Tomioka, Hiroki, et al.
Published: (2025)
by: Tomioka, Hiroki, et al.
Published: (2025)
Decoding Listeners Identity: Person Identification from EEG Signals Using a Lightweight Spiking Transformer
by: Lin, Zheyuan, et al.
Published: (2025)
by: Lin, Zheyuan, et al.
Published: (2025)
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
by: Huang, Yulong, et al.
Published: (2024)
by: Huang, Yulong, et al.
Published: (2024)
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
On the Impact of Crossover in Many-Objective Optimization: A Runtime Analysis of NSGA-III
by: Opris, Andre
Published: (2026)
by: Opris, Andre
Published: (2026)
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
by: Han, Bing, et al.
Published: (2023)
by: Han, Bing, et al.
Published: (2023)
SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing
by: Liao, Wangdan, et al.
Published: (2024)
by: Liao, Wangdan, et al.
Published: (2024)
Solving the Food-Energy-Water Nexus Problem via Intelligent Optimization Algorithms
by: Deng, Qi, et al.
Published: (2024)
by: Deng, Qi, et al.
Published: (2024)
BuildEvo: Designing Building Energy Consumption Forecasting Heuristics via LLM-driven Evolution
by: Lin, Subin, et al.
Published: (2025)
by: Lin, Subin, et al.
Published: (2025)
Automated Optimal Layout Generator for Animal Shelters: A framework based on Genetic Algorithm, TOPSIS and Graph Theory
by: Jalayer, Arghavan, et al.
Published: (2024)
by: Jalayer, Arghavan, et al.
Published: (2024)
Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
by: Calle-Ortiz, Eduardo, et al.
Published: (2025)
by: Calle-Ortiz, Eduardo, et al.
Published: (2025)
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)
by: Lin, Xi, et al.
Published: (2024)
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
by: Lin, Yuanguo, et al.
Published: (2024)
by: Lin, Yuanguo, et al.
Published: (2024)
A Landscape-Aware Differential Evolution for Multimodal Optimization Problems
by: Lin, Guo-Yun, et al.
Published: (2024)
by: Lin, Guo-Yun, et al.
Published: (2024)
Overcoming Binary Adversarial Optimisation with Competitive Coevolution
by: Lehre, Per Kristian, et al.
Published: (2024)
by: Lehre, Per Kristian, et al.
Published: (2024)
Many-Objective Neuroevolution for Testing Games
by: Feldmeier, Patric, et al.
Published: (2025)
by: Feldmeier, Patric, et al.
Published: (2025)
Dynastic Potential Crossover Operator
by: Chicano, Francisco, et al.
Published: (2024)
by: Chicano, Francisco, et al.
Published: (2024)
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
by: Kang, Qiyu, et al.
Published: (2024)
by: Kang, Qiyu, et al.
Published: (2024)
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network
by: Chen, Jian-Hui, et al.
Published: (2022)
by: Chen, Jian-Hui, et al.
Published: (2022)
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
by: Lin, Jiaqi, et al.
Published: (2024)
by: Lin, Jiaqi, et al.
Published: (2024)
Multi-body dynamic evolution sequence-assisted PSO for interval analysis
by: Wu, Xuanlong, et al.
Published: (2024)
by: Wu, Xuanlong, et al.
Published: (2024)
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Energy-Aware Metaheuristics
by: Alba, Enrique, et al.
Published: (2026)
by: Alba, Enrique, et al.
Published: (2026)
Similarity-based context aware continual learning for spiking neural networks
by: Han, Bing, et al.
Published: (2024)
by: Han, Bing, et al.
Published: (2024)
Similar Items
-
Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
by: Chen, Siqi, et al.
Published: (2026) -
Generative Design of Functional Metal Complexes Utilizing the Internal Knowledge of Large Language Models
by: Lu, Jieyu, et al.
Published: (2024) -
Hybrid Quantum-Classical Encoding for Accurate Residue-Level pKa Prediction
by: Le, Van, et al.
Published: (2026) -
Active Learning in Symbolic Regression with Physical Constraints
by: Medina, Jorge, et al.
Published: (2023) -
Generating new coordination compounds via multireference simulations, genetic algorithms and machine learning: the case of Co(II) molecular magnets
by: Frangoulis, Lion, et al.
Published: (2025)