:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Saha, Shreya, Chadha, Ishaan, Khosla, Meenakshi
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Machine Learning
Online Access:	https://arxiv.org/abs/2410.14031
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measuring the Measures: Discriminative Capacity of Representational Similarity Metrics Across Model Families
by: Wu, Jialin, et al.
Published: (2025)

Partial Soft-Matching Distance for Neural Representational Comparison with Partial Unit Correspondence
by: Kapoor, Chaitanya, et al.
Published: (2026)

Brain-Model Evaluations Need the NeuroAI Turing Test
by: Feather, Jenelle, et al.
Published: (2025)

Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
by: Hao, Hao, et al.
Published: (2024)

Data-Informed Model Complexity Metric for Optimizing Symbolic Regression Models
by: Haut, Nathan, et al.
Published: (2025)

Small Molecule Optimization with Large Language Models
by: Guevorguian, Philipp, et al.
Published: (2024)

Deep Intrinsic Surprise-Regularized Control (DISRC): A Biologically Inspired Mechanism for Efficient Deep Q-Learning in Sparse Environments
by: Kini, Yash, et al.
Published: (2026)

Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
by: Zhang, Xian-Rong, et al.
Published: (2025)

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
by: Li, Wenhu, et al.
Published: (2025)

EOE: Evolutionary Optimization of Experts for Training Language Models
by: Chen, Yingshi
Published: (2025)

Collapse-Free Prototype Readout Layer for Transformer Encoders
by: Cirrincione, Giansalvo, et al.
Published: (2026)

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
by: Tjanaka, Bryon, et al.
Published: (2026)

($\boldsymbolθ_l, \boldsymbolθ_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces
by: Wei, Tingyang, et al.
Published: (2025)

Heuristic Search as Language-Guided Program Optimization
by: Yu, Mingxin, et al.
Published: (2026)

Multi-Task Optimization over Networks of Tasks
by: Hatzky, Julian, et al.
Published: (2026)

DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
by: Guo, Hongshu, et al.
Published: (2025)

Surrogate Benchmarks for Model Merging Optimization
by: Akizuki, Rio, et al.
Published: (2025)

Meta-Black-Box Optimization with Ensemble Surrogate Modeling for Robustness-Accuracy Trade-off within SAEA
by: Jin, Xiao, et al.
Published: (2026)

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
by: Wang, Xudong, et al.
Published: (2026)

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
by: Tan, Rong-Xi, et al.
Published: (2025)

Offline Model-Based Optimization by Learning to Rank
by: Tan, Rong-Xi, et al.
Published: (2024)

Position: Leverage Foundational Models for Black-Box Optimization
by: Song, Xingyou, et al.
Published: (2024)

A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions
by: Naser, M. Z., et al.
Published: (2024)

Microscaling Floating Point Formats for Large Language Models
by: Cococcioni, Marco, et al.
Published: (2025)

Evolutionary Policy Optimization
by: Mustafaoglu, Zelal Su "Lain", et al.
Published: (2025)

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
by: Gao, Zijian, et al.
Published: (2026)

Snail Homing and Mating Search Algorithm for Weight Optimization of Stepped-Transmission Shaft
by: Saha, Kaustav, et al.
Published: (2025)

Task-free Adaptive Meta Black-box Optimization
by: Wang, Chao, et al.
Published: (2026)

Exploring the Improvement of Evolutionary Computation via Large Language Models
by: Cai, Jinyu, et al.
Published: (2024)

Evolutionary Multitasking AUC Optimization
by: Wang, Chao, et al.
Published: (2022)

Density Descent for Diversity Optimization
by: Lee, David H., et al.
Published: (2023)

Soft Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

Topic Modelling Black Box Optimization
by: Akramov, Roman, et al.
Published: (2025)

Can We Optimize Deep RL Policy Weights as Trajectory Modeling?
by: Tang, Hongyao
Published: (2025)

Beyond Single-Model Optimization: Preserving Plasticity in Continual Reinforcement Learning
by: Lillo, Lute, et al.
Published: (2026)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

Generative Design through Quality-Diversity Data Synthesis and Language Models
by: Gaier, Adam, et al.
Published: (2024)

TopoNets: High Performing Vision and Language Models with Brain-Like Topography
by: Deb, Mayukh, et al.
Published: (2025)

Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
by: Blessing, Effiong, et al.
Published: (2026)

Indian Wedding System Optimization (IWSO): A Novel Socially Inspired Metaheuristic with Operational Design and Analysis
by: Saxena, Deepika, et al.
Published: (2026)