Cover Image

Evolving Deep Learning Optimizers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Marfinetz, Mitchell
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Machine Learning I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GAAPO: Genetic Algorithmic Applied to Prompt Optimization
by: Sécheresse, Xavier, et al.
Published: (2025)

Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025)

Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays
by: Dominijanni, Marissa, et al.
Published: (2025)

Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
by: Nouranizadeh, Amirhossein, et al.
Published: (2024)

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)

Multi-objective Binary Coordinate Search for Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)

Batchless Normalization: How to Normalize Activations Across Instances with Minimal Memory Requirements
by: Berger, Benjamin, et al.
Published: (2022)

Evaluating Brain-Inspired Modular Training in Automated Circuit Discovery for Mechanistic Interpretability
by: Nainani, Jatin
Published: (2024)

Compact NSGA-II for Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)

Increasing biases can be more efficient than increasing weights
by: Metta, Carlo, et al.
Published: (2023)

Introducing Echo Networks for Computational Neuroevolution
by: Kroos, Christian, et al.
Published: (2026)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)

Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
by: Chakraborty, Debjyoti
Published: (2026)

Shrinkage Initialization for Smooth Learning of Neural Networks
by: Cheng, Miao, et al.
Published: (2025)

Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)

Hybrid Genetic Algorithm for Optimal User Order Routing: Multi-Objective Solver Optimization in CoW Protocol Batch Auctions
by: Marfinetz, Mitchell
Published: (2025)

Combining Trained Models in Reinforcement Learning
by: Patil, Ujjwal, et al.
Published: (2026)

$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
by: Innocenti, Francesco, et al.
Published: (2025)

Rapid training of Hamiltonian graph networks using random features
by: Rahma, Atamert, et al.
Published: (2025)

Game-Theoretic Gradient Control for Robust Neural Network Training
by: Zaitseva, Maria, et al.
Published: (2025)

Efficient NAS with FaDE on Hierarchical Spaces
by: Neumeyer, Simon, et al.
Published: (2024)

Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
by: Innocenti, Francesco, et al.
Published: (2024)

On the Infinite Width and Depth Limits of Predictive Coding Networks
by: Innocenti, Francesco, et al.
Published: (2026)

Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
by: Weber, Leander, et al.
Published: (2023)

Solar Irradiation Forecasting using Genetic Algorithms
by: Gunasekaran, V., et al.
Published: (2021)

A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)

Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)

A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning
by: Sinha, Ankur, et al.
Published: (2024)

Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
by: Ma, Jingxiao, et al.
Published: (2025)

Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
by: Qian, Tianhao, et al.
Published: (2026)

K-Way Energy Probes for Metacognition Reduce to Softmax in Discriminative Predictive Coding Networks
by: Cacioli, Jon-Paul
Published: (2026)

Pulling Back the Curtain on Deep Networks
by: Satkiewicz, Maciej, et al.
Published: (2025)

Pre-train to Gain: Robust Learning Without Clean Labels
by: Szczecina, David, et al.
Published: (2025)

Evolving Programmatic Skill Networks
by: Shi, Haochen, et al.
Published: (2026)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
by: Geglio, Anthony, et al.
Published: (2022)

Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)

Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
by: Arnold, Solvi, et al.
Published: (2024)

Expanding continual few-shot learning benchmarks to include recognition of specific instances
by: Kowadlo, Gideon, et al.
Published: (2022)

Full Domain Analysis in Fluid Dynamics
by: Hagg, Alexander, et al.
Published: (2025)