cs.NE
50 papers tagged cs.NE β re-sort below
Papers
- Scalable and Sustainable Deep Learning via Randomized Hashing (2016)Ryan Spring et al.β
- Cosolver2B: An Efficient Local Search Heuristic for the Travelling Thief
Problem (2016)Mohamed El Yafrani and Bela\"id Ahiodβ
- CMA-ES for Hyperparameter Optimization of Deep Neural Networks (2016)Ilya Loshchilov and Frank Hutterβ
- Distributed Evolutionary k-way Node Separators (2017)Peter Sanders et al.β
- Deep Learning for Explicitly Modeling Optimization Landscapes (2017)Shumeet Balujaβ
- Probabilistic Tools for the Analysis of Randomized Optimization
Heuristics (2021)Benjamin Doerrβ
- AEkNN: An AutoEncoder kNN-based classifier with built-in dimensionality
reduction (2018)Francisco J. Pulgar et al.β
- Review: Metaheuristic Search-Based Fuzzy Clustering Algorithms (2018)Waleed Alomoush et al.β
- Parallel Architecture and Hyperparameter Search via Successive Halving
and Classification (2018)Manoj Kumar et al.β
- LDW-SCSA: Logistic Dynamic Weight based Sine Cosine Search Algorithm for
Numerical Functions Optimization (2018)Turker Tuncerβ
- You Only Search Once: Single Shot Neural Architecture Search via Direct
Sparse Optimization (2018)Xinbang Zhang et al.β
- Creative AI Through Evolutionary Computation (2020)Risto Miikkulainenβ
- Stochastic Optimization of Sorting Networks via Continuous Relaxations (2019)Aditya Grover et al.β
- Parabolic Approximation Line Search for DNNs (2021)Maximus Mutschler and Andreas Zellβ
- Efficient Feature Selection of Power Quality Events using Two
Dimensional (2D) Particle Swarms (2019)Faizal Hafiz and Akshya Swain and Chirag Naik and Nitish Patelβ
- Steepest ascent can be exponential in bounded treewidth problems (2020)David A. Cohen et al.β
- Grid Search, Random Search, Genetic Algorithm: A Big Comparison for NAS (2019)Petro Liashchynskyi and Pavlo Liashchynskyiβ
- Variance Reduction for Better Sampling in Continuous Domains (2020)Laurent Meunier et al.β
- Angle-based Search Space Shrinking for Neural Architecture Search (2020)Yiming Hu et al.β
- Atom Search Optimization with Simulated Annealing -- a Hybrid
Metaheuristic Approach for Feature Selection (2020)Kushal Kanti Ghosh et al.β
- V3H: View Variation and View Heredity for Incomplete Multi-view Clustering (2026)Xiang Fang et al.β
- ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search
Spaces (2023)Xingyou Song et al.β
- BR-NS: an Archive-less Approach to Novelty Search (2021)Achkan Salehi et al.β
- DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient
Hyperparameter Optimization (2021)Noor Awad et al.β
- GSGP-CUDA -- a CUDA framework for Geometric Semantic Genetic Programming (2021)Leonardo Trujillo et al.β
- Hash-Based Tree Similarity and Simplification in Genetic Programming for
Symbolic Regression (2021)Bogdan Burlacu et al.β
- RepNAS: Searching for Efficient Re-parameterizing Blocks (2022)Mingyang Zhang et al.β
- Orthogonal Matrices for MBAT Vector Symbolic Architectures, and a "Soft"
VSA Representation for JSON (2022)Stephen I. Gallantβ
- SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via
Train-Free Metrics (2022)Rob Geada et al.β
- Tensor Shape Search for Optimum Data Compression (2022)Ryan Solgi et al.β
- Braid-based architecture search (2022)Olga Lukyanova and Oleg Nikitin and Alex Kuninβ
- Unified Functional Hashing in Automatic Machine Learning (2023)Ryan Gillard et al.β
- Refining a $k$-nearest neighbor graph for a computationally efficient
spectral clustering (2023)Mashaan Alshammari et al.β
- Density Descent for Diversity Optimization (2024)David H. Lee et al.β
- Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms (2026)Pengyi Li et al.β
- The Runtime of Random Local Search on the Generalized Needle Problem (2025)Benjamin Doerr et al.β
- Random Search as a Baseline for Sparse Neural Network Architecture
Search (2024)Rezsa Farahaniβ
- Local search for valued constraint satisfaction parameterized by
treedepth (2024)Artem Kaznatcheevβ
- Dynamic Dimension Wrapping (DDW) Algorithm: A Novel Approach for
Efficient Cross-Dimensional Search in Dynamic Multidimensional Spaces (2024)Dongnan Jin et al.β
- Document clustering with evolved multiword search queries (2025)Laurence Hirsch et al.β
- Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models (2026)Omer Luxembourg et al.β
- CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization (2026)Henrique Assump\c{c}\~ao et al.β
- Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction (2026)Sithumi Wickramasinghe et al.β
- On the Infinite Width and Depth Limits of Predictive Coding Networks (2026)Francesco Innocenti et al.β
- Muscle Synergy Priors Enhance Biomechanical Fidelity in Predictive Musculoskeletal Locomotion Simulation (2026)Ilseung Park (Carnegie Mellon University) et al.β
- Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression (2026)Chakshu Gupta et al.β
- Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders (2026)William Lehn-Schi{\o}ler et al.β
- Preisach Attention: A Hysteretic Model of Sequential Memory (2026)Piotr Frydrychβ
- In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models (2026)Sam Earle et al.β
- Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning (2026)Hichem Cheriet et al.β