Optuna: A Next-generation Hyperparameter Optimization Framework

25 July 2019

Papers citing "Optuna: A Next-generation Hyperparameter Optimization Framework"

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Title
GSplatVNM: Point-of-View Synthesis for Visual Navigation Models Using Gaussian Splatting Kohei Honda Takeshi Ishita Yasuhiro Yoshimura Ryo Yonetani 3DGS 54 0 0 07 Mar 2025
A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models Seyed Mohamad Ali Tousi Ramy M. A. Farag Jacket Demby's Gbenga Omotara John A. Lory Guilherme N. DeSouza 223 0 0 03 Mar 2025
Reinforcement Learning with Curriculum-inspired Adaptive Direct Policy Guidance for Truck Dispatching Shi Meng Bin Tian Xiaotong Zhang OffRL 43 0 0 28 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 50 2 0 25 Feb 2025
DomainDynamics: Lifecycle-Aware Risk Timeline Construction for Domain Names Daiki Chiba Hiroki Nakano Takashi Koide 49 0 0 24 Feb 2025
Understanding the Design Principles of Link Prediction in Directed Settings Jun Zhai Muberra Ozmen Thomas Markovich AI4CE 40 0 0 24 Feb 2025
Imputation for prediction: beware of diminishing returns Marine Le Morvan Gaël Varoquaux AI4TS 80 1 0 21 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 92 1 0 17 Feb 2025
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting? Ibram Abdelmalak Kiran Madhusudhanan Jungmin Choi Maximilian Stubbemann Lars Schmidt-Thieme AI4TS 69 1 0 17 Feb 2025
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems Armando Bellante Tommaso Fioravanti Michele Carminati S. Zanero Alessandro Luongo 54 0 0 16 Feb 2025
SyMANTIC: An Efficient Symbolic Regression Method for Interpretable and Parsimonious Model Discovery in Science and Beyond Madhav Muthyala Farshud Sorourifar You Peng J. Paulson 57 1 0 05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 73 7 0 04 Feb 2025
No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs Krzysztof Kacprzyk M. Schaar 120 0 0 30 Jan 2025
Evolutionary Optimization of Model Merging Recipes Takuya Akiba Makoto Shing Yujin Tang Qi Sun David Ha MoMe 116 104 0 28 Jan 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 103 19 0 28 Jan 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 69 4 0 28 Jan 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 82 0 0 28 Jan 2025
Enhancing and Exploring Mild Cognitive Impairment Detection with W2V-BERT-2.0 Yueguan Wang Tatsunari Matsushima Soichiro Matsushima Toshimitsu Sakai 40 0 0 28 Jan 2025
Time Series Embedding Methods for Classification Tasks: A Review Yasamin Ghahremani Vangelis Metsis AI4TS 41 0 0 23 Jan 2025
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions Qianying Cao Shanqing Liu Alan John Varghese Jérome Darbon M. Triantafyllou George Karniadakis AI4TS 238 0 0 21 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 39 1 0 21 Jan 2025
Analyzing Spatio-Temporal Dynamics of Dissolved Oxygen for the River Thames using Superstatistical Methods and Machine Learning Hankun He Takuya Boehringer Benjamin Schäfer Kate Heppell Christian Beck 59 3 0 10 Jan 2025
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data Mohammad Noorchenarboo Katarina Grolinger 49 1 0 10 Jan 2025
Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction Guofeng Yang Nanfei Jin Wenjie Ai Zhonghua Zheng Yuhong He Yong He 43 0 0 08 Jan 2025
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy Jamie Todd Junqi Jiang Aaron Russo Steffen Winkler Stuart Sale Joseph McMillan Antonio Rago AI4TS 38 0 0 07 Jan 2025
WhACC: Whisker Automatic Contact Classifier with Expert Human-Level Performance Phillip Maire Samson G. King Jonathan Andrew Cheung Stefanie Walker Samuel Andrew Hires 46 0 0 06 Jan 2025
autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks Simon Rampp Andreas Triantafyllopoulos M. Milling Björn Schuller 90 0 0 16 Dec 2024
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers Ashish Parmanand Pandey Alan John Varghese Sarang Patil Mengjia Xu Mamba 123 0 0 15 Dec 2024
Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions Guang Wu Yun Wang Qian Zhou Ziyang Zhang AI4TS 75 2 0 03 Dec 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 264 1 0 19 Nov 2024
Differentiable GPU-Parallelized Task and Motion Planning William Shen Caelan Reed Garrett Ankit Goyal Ankit Goyal Tucker Hermans Leslie Pack Kaelbling Tomás Lozano-Pérez F. Ramos 105 0 0 18 Nov 2024
Slowing Down Forgetting in Continual Learning Pascal Janetzky Tobias Schlagenhauf Stefan Feuerriegel CLL 39 0 0 11 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba Masakazu Yoshimura Teruaki Hayashi Yota Maeda Mamba 100 2 0 06 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 128 2 0 01 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 99 7 0 31 Oct 2024
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 45 2 0 28 Oct 2024
Sequential Large Language Model-Based Hyper-parameter Optimization Kanan Mahammadli Seyda Ertekin 48 5 0 27 Oct 2024
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows Stefan Wahl Armand Rousselot Felix Dräxler Ullrich Kothe Ullrich Köthe 39 0 0 25 Oct 2024
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design Francisco Erivaldo Fernandes Junior Antti Oulasvirta 197 0 0 25 Oct 2024
Learning Transparent Reward Models via Unsupervised Feature Selection Daulet Baimukashev G. Alcan K. Luck Ville Kyrki SSL OffRL 41 0 0 24 Oct 2024
Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors Finn Schmidt Suhas Shrinivasan Polina Turishcheva Fabian H. Sinz 53 0 0 21 Oct 2024
FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability G. Panapitiya Peiyuan Gao C Mark Maupin Emily Saldanha AI4CE 49 1 0 16 Oct 2024
Generalized Distribution Prediction for Asset Returns Ísak Pétursson María Óskarsdóttir AIFin 29 0 0 15 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 31 2 0 15 Oct 2024
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 44 0 0 15 Oct 2024
Groningen: Spatial Prediction of Rock Gas Saturation by Leveraging Selected and Augmented Well and Seismic Data with Classifier Ensembles Dmitry Ivlev 36 0 0 14 Oct 2024
Extended Friction Models for the Physics Simulation of Servo Actuators Marc Duclusaud G. Passault Vincent Padois Olivier Ly 24 0 0 11 Oct 2024
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning Anastasiya Danilenka Alireza Furutanpey Víctor Casamayor Pujol Boris Sedlak Anna Lackinger M. Ganzha M. Paprzycki Schahram Dustdar 38 0 0 09 Oct 2024
Skin Cancer Machine Learning Model Tone Bias James Pope Md Hassanuzzaman Mingmar Sherpa Omar Emara Ayush Joshi Nirmala Adhikari Nirmala Adhikari Ayush Joshi 26 0 0 08 Oct 2024
EBES: Easy Benchmarking for Event Sequences Dmitry Osin Igor Udovichenko Viktor Moskvoretskii Egor Shvetsov Evgeny Burnaev 54 1 0 04 Oct 2024