Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Yinghua, Pan, Yuangang, Chen, Xixian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
by: Yao, Yinghua, et al.
Published: (2024)
by: Yao, Yinghua, et al.
Published: (2024)
Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via Intrinsic Reweighting
by: Li, Jing, et al.
Published: (2024)
by: Li, Jing, et al.
Published: (2024)
Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)
by: Kim, Nayoung, et al.
Published: (2024)
Fast and Accurate Antibody Sequence Design via Structure Retrieval
by: Zhang, Xingyi, et al.
Published: (2025)
by: Zhang, Xingyi, et al.
Published: (2025)
Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization
by: Raghu, Aniruddh, et al.
Published: (2025)
by: Raghu, Aniruddh, et al.
Published: (2025)
Black-Box Privacy Attacks on Shared Representations in Multitask Learning
by: Abascal, John, et al.
Published: (2025)
by: Abascal, John, et al.
Published: (2025)
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
by: Xiao, Yisong, et al.
Published: (2023)
by: Xiao, Yisong, et al.
Published: (2023)
BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design
by: Vogt, Yannick, et al.
Published: (2024)
by: Vogt, Yannick, et al.
Published: (2024)
Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design
by: Song, Zhenqiao, et al.
Published: (2023)
by: Song, Zhenqiao, et al.
Published: (2023)
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality
by: Kong, Lingjing, et al.
Published: (2025)
by: Kong, Lingjing, et al.
Published: (2025)
Auditing Training Data in Generative Music Models via Black-Box Membership Inference
by: Liu, Yi Chen, et al.
Published: (2026)
by: Liu, Yi Chen, et al.
Published: (2026)
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
by: Amin, Alan Nawzad, et al.
Published: (2024)
by: Amin, Alan Nawzad, et al.
Published: (2024)
ShaLa: Multimodal Shared Latent Space Modelling
by: Cui, Jiali, et al.
Published: (2025)
by: Cui, Jiali, et al.
Published: (2025)
Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention
by: Chang, Shuochen, et al.
Published: (2026)
by: Chang, Shuochen, et al.
Published: (2026)
Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sequence Hierarchies, and Grouped/Latent-Group Designs
by: Solari, Omid Shams
Published: (2026)
by: Solari, Omid Shams
Published: (2026)
Purely Agent-Driven Black-Box Optimization for Biological Design
by: Maus, Natalie, et al.
Published: (2026)
by: Maus, Natalie, et al.
Published: (2026)
Towards More Accurate Full-Atom Antibody Co-Design
by: Wu, Jiayang, et al.
Published: (2025)
by: Wu, Jiayang, et al.
Published: (2025)
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization
by: Guo, Hongshu, et al.
Published: (2025)
by: Guo, Hongshu, et al.
Published: (2025)
Integrating Predictive and Generative Capabilities by Latent Space Design via the DKL-VAE Model
by: Slautin, Boris N., et al.
Published: (2025)
by: Slautin, Boris N., et al.
Published: (2025)
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
by: Pan, Hanlin, et al.
Published: (2025)
by: Pan, Hanlin, et al.
Published: (2025)
Exploring Representation-Aligned Latent Space for Better Generation
by: Xu, Wanghan, et al.
Published: (2025)
by: Xu, Wanghan, et al.
Published: (2025)
Black-Box Forgetting
by: Kuwana, Yusuke, et al.
Published: (2024)
by: Kuwana, Yusuke, et al.
Published: (2024)
Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations
by: Kong, Eun Gyung, et al.
Published: (2025)
by: Kong, Eun Gyung, et al.
Published: (2025)
Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits
by: Mukherjee, Sumantrak, et al.
Published: (2025)
by: Mukherjee, Sumantrak, et al.
Published: (2025)
Smoothing the Black-Box: Signed-Distance Supervision for Black-Box Model Copying
by: Jiménez, Rubén, et al.
Published: (2026)
by: Jiménez, Rubén, et al.
Published: (2026)
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes
by: Han, Minbiao, et al.
Published: (2024)
by: Han, Minbiao, et al.
Published: (2024)
Multi-Objective Latent Space Optimization of Generative Molecular Design Models
by: Abeer, A N M Nafiz, et al.
Published: (2022)
by: Abeer, A N M Nafiz, et al.
Published: (2022)
Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
by: Bai, Haoyue, et al.
Published: (2025)
by: Bai, Haoyue, et al.
Published: (2025)
CTTVAE: Latent Space Structuring for Conditional Tabular Data Generation on Imbalanced Datasets
by: Devic, Milosh, et al.
Published: (2026)
by: Devic, Milosh, et al.
Published: (2026)
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
by: Tian, Yufei, et al.
Published: (2024)
by: Tian, Yufei, et al.
Published: (2024)
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
by: Tsuruta, Hirofumi, et al.
Published: (2024)
by: Tsuruta, Hirofumi, et al.
Published: (2024)
Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space
by: Ishikawa, Kazuki, et al.
Published: (2025)
by: Ishikawa, Kazuki, et al.
Published: (2025)
Black-Box Detection of LLM-Generated Text Using Generalized Jensen-Shannon Divergence
by: Chen, Shuangyi, et al.
Published: (2025)
by: Chen, Shuangyi, et al.
Published: (2025)
Semi-Supervised Generative Learning via Latent Space Distribution Matching
by: Chong, Kwong Yu, et al.
Published: (2026)
by: Chong, Kwong Yu, et al.
Published: (2026)
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
by: Wen, Yibo, et al.
Published: (2024)
by: Wen, Yibo, et al.
Published: (2024)
Black-Box Anomaly Attribution
by: Idé, Tsuyoshi, et al.
Published: (2023)
by: Idé, Tsuyoshi, et al.
Published: (2023)
Sampling as Bandits: Evaluation-Efficient Design for Black-Box Densities
by: Matsubara, Takuo, et al.
Published: (2025)
by: Matsubara, Takuo, et al.
Published: (2025)
Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization
by: Om, Kiyoung, et al.
Published: (2025)
by: Om, Kiyoung, et al.
Published: (2025)
Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning
by: Altabaa, Awni, et al.
Published: (2025)
by: Altabaa, Awni, et al.
Published: (2025)
Similar Items
-
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
by: Yao, Yinghua, et al.
Published: (2024) -
Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via Intrinsic Reweighting
by: Li, Jing, et al.
Published: (2024) -
Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024) -
Fast and Accurate Antibody Sequence Design via Structure Retrieval
by: Zhang, Xingyi, et al.
Published: (2025) -
Instance Generation for Meta-Black-Box Optimization through Latent Space Reverse Engineering
by: Wang, Chen, et al.
Published: (2025)