Cover Image

Generative Inverse Design: From Single Point Optimization to a Diverse Design Portfolio via Conditional Variational Autoencoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zamrai, Muhammad Arif Hakimi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Random Forest Stratified K-Fold Cross Validation on SYN DoS Attack SD-IoV
by: Zamrai, Muhammad Arif Hakimi, et al.
Published: (2025)

Variational Rank Reduction Autoencoders for Generative Thermal Design
by: Tierz, Alicia, et al.
Published: (2025)

Improving Inverse Folding for Peptide Design with Diversity-regularized Direct Preference Optimization
by: Park, Ryan, et al.
Published: (2024)

Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder
by: Zare, Amirhossein, et al.
Published: (2025)

Property-Isometric Variational Autoencoders for Sequence Modeling and Design
by: Sadeghi, Elham, et al.
Published: (2025)

Generalized Graph Transformer Variational Autoencoder
by: Karki, Siddhant
Published: (2025)

Bidirectional Variational Autoencoders
by: Kosko, Bart, et al.
Published: (2025)

Discrete Variational Autoencoding via Policy Search
by: Drolet, Michael, et al.
Published: (2025)

Environment Design for Inverse Reinforcement Learning
by: Buening, Thomas Kleine, et al.
Published: (2022)

Exploring Transformer Placement in Variational Autoencoders for Tabular Data Generation
by: Silva, Aníbal, et al.
Published: (2026)

Hellinger Multimodal Variational Autoencoders
by: Vo, Huyen, et al.
Published: (2026)

Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality
by: Lee, Sewoong, et al.
Published: (2025)

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
by: Yao, Michael S., et al.
Published: (2025)

Compositional Generative Inverse Design
by: Wu, Tailin, et al.
Published: (2024)

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
by: Li, Jiayu, et al.
Published: (2025)

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders
by: Stevens, Alexander, et al.
Published: (2024)

Inverse Design in Nanophotonics via Representation Learning
by: Marzban, Reza, et al.
Published: (2025)

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders
by: Liu, Hui, et al.
Published: (2025)

ACTIVA: Amortized Causal Effect Estimation via Transformer-based Variational Autoencoder
by: Sauter, Andreas, et al.
Published: (2025)

Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
by: Ahang, Maryam, et al.
Published: (2024)

Variational Autoencoders for Efficient Simulation-Based Inference
by: Nautiyal, Mayank, et al.
Published: (2024)

Adaptive Compression of the Latent Space in Variational Autoencoders
by: Sejnova, Gabriela, et al.
Published: (2023)

Poisson Variational Autoencoder
by: Vafaii, Hadi, et al.
Published: (2024)

Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization
by: LaBash, Beck, et al.
Published: (2025)

Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design
by: Boyar, Onur, et al.
Published: (2024)

Heteroscedastic Temporal Variational Autoencoder For Irregular Time Series
by: Shukla, Satya Narayan, et al.
Published: (2021)

ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
by: Lygerakis, Fotios, et al.
Published: (2024)

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2025)

Autoencoding Conditional Neural Processes for Representation Learning
by: Prokhorov, Victor, et al.
Published: (2023)

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
by: Bertolissi, Ryo, et al.
Published: (2025)

BAnG: Bidirectional Anchored Generation for Conditional RNA Design
by: Klypa, Roman, et al.
Published: (2025)

The Saturation Point of Backtranslation in High Quality Low Resource English Gujarati Machine Translation
by: Arif, Arwa
Published: (2025)

Form Follows Function: Recursive Stem Model
by: Hakimi, Navid
Published: (2026)

Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits
by: Mahlau, Yannik, et al.
Published: (2025)

Partial Inverse Design of High-Performance Concrete Using Cooperative Neural Networks for Constraint-Aware Mix Generation
by: Nugraha, Agung, et al.
Published: (2025)

A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders
by: Zhang, Zegu, et al.
Published: (2026)

TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
by: Kann, Bonpagna, et al.
Published: (2025)

Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
by: Xing, Ziqing, et al.
Published: (2025)

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference
by: Feng, Qian, et al.
Published: (2024)

Inverse design of Non-parameterized Ventilated Acoustic Resonator via Variational Autoencoder with Acoustic Response-encoded Latent Space
by: Cho, Min Woo, et al.
Published: (2024)