Saved in:
| Main Author: | Ho, Elbert |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.25198 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
by: Mosbach, Malte, et al.
Published: (2024)
by: Mosbach, Malte, et al.
Published: (2024)
SOLD: Sinhala Offensive Language Dataset
by: Ranasinghe, Tharindu, et al.
Published: (2022)
by: Ranasinghe, Tharindu, et al.
Published: (2022)
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM
by: Beaudoin, Collin, et al.
Published: (2025)
by: Beaudoin, Collin, et al.
Published: (2025)
Representing Molecules with Algebraic Data Types: Beyond SMILES and SELFIES
by: Goldstein, Oliver, et al.
Published: (2025)
by: Goldstein, Oliver, et al.
Published: (2025)
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
by: Rozet, François, et al.
Published: (2025)
by: Rozet, François, et al.
Published: (2025)
Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models
by: Nogueira, Brenda, et al.
Published: (2026)
by: Nogueira, Brenda, et al.
Published: (2026)
Improving Fine-Tuning with Latent Cluster Correction
by: Thanh, Cédric Ho
Published: (2025)
by: Thanh, Cédric Ho
Published: (2025)
GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)
by: Li, Xingyu
Published: (2026)
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)
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
by: Kanazawa, Takuya, et al.
Published: (2023)
by: Kanazawa, Takuya, et al.
Published: (2023)
Latent Diffusion for Missing Data
by: Estad, Alberte Heering, et al.
Published: (2026)
by: Estad, Alberte Heering, et al.
Published: (2026)
Latent Diffusion : Multi-Dimension Stable Diffusion Latent Space Explorer
by: Zhong, Zhihua, et al.
Published: (2025)
by: Zhong, Zhihua, et al.
Published: (2025)
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
by: Zhang, Hengrui, et al.
Published: (2023)
by: Zhang, Hengrui, et al.
Published: (2023)
Hyper-Transforming Latent Diffusion Models
by: Peis, Ignacio, et al.
Published: (2025)
by: Peis, Ignacio, et al.
Published: (2025)
Optimal Stopping in Latent Diffusion Models
by: Wu, Yu-Han, et al.
Published: (2025)
by: Wu, Yu-Han, et al.
Published: (2025)
Latent Abstractions in Generative Diffusion Models
by: Franzese, Giulio, et al.
Published: (2024)
by: Franzese, Giulio, et al.
Published: (2024)
Differentially Private Verification of Distribution Properties
by: Du, Elbert, et al.
Published: (2026)
by: Du, Elbert, et al.
Published: (2026)
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
by: Shi, Jiaxin, et al.
Published: (2025)
by: Shi, Jiaxin, et al.
Published: (2025)
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces
by: Geissler, Daniel, et al.
Published: (2024)
by: Geissler, Daniel, et al.
Published: (2024)
Extract and Diffuse: Latent Integration for Improved Diffusion-based Speech and Vocal Enhancement
by: Yang, Yudong, et al.
Published: (2024)
by: Yang, Yudong, et al.
Published: (2024)
SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing
by: Hong, Seokhyeon, et al.
Published: (2025)
by: Hong, Seokhyeon, et al.
Published: (2025)
Property-driven Protein Inverse Folding With Multi-Objective Preference Alignment
by: Hou, Xiaoyang, et al.
Published: (2026)
by: Hou, Xiaoyang, et al.
Published: (2026)
On the Limits of Latent Reuse in Diffusion Models
by: Yu, Yifeng, et al.
Published: (2026)
by: Yu, Yifeng, et al.
Published: (2026)
Latent Diffusion Pretraining for Crystal Property Prediction
by: Mukherjee, Shrimon, et al.
Published: (2026)
by: Mukherjee, Shrimon, et al.
Published: (2026)
Understanding Latent Diffusability via Fisher Geometry
by: Gu, Jing, et al.
Published: (2026)
by: Gu, Jing, et al.
Published: (2026)
Reasoning with Latent Tokens in Diffusion Language Models
by: He, Andre, et al.
Published: (2026)
by: He, Andre, et al.
Published: (2026)
Enhancing OOD Detection Using Latent Diffusion
by: Gao, Heng, et al.
Published: (2024)
by: Gao, Heng, et al.
Published: (2024)
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
by: Luo, Yanchen, et al.
Published: (2025)
by: Luo, Yanchen, et al.
Published: (2025)
Factorized Latent Dynamics for Video JEPA: An Empirical Study of Auxiliary Objectives
by: Premi, Santosh
Published: (2026)
by: Premi, Santosh
Published: (2026)
Smoothing the Landscape: Causal Structure Learning via Diffusion Denoising Objectives
by: Zhu, Hao, et al.
Published: (2026)
by: Zhu, Hao, et al.
Published: (2026)
Preference-Guided Diffusion for Multi-Objective Offline Optimization
by: Annadani, Yashas, et al.
Published: (2025)
by: Annadani, Yashas, et al.
Published: (2025)
Drifting Objectives for Refining Discrete Diffusion Language Models
by: Oba, Daisuke, et al.
Published: (2026)
by: Oba, Daisuke, et al.
Published: (2026)
Preference-based Multi-Objective Reinforcement Learning
by: Mu, Ni, et al.
Published: (2025)
by: Mu, Ni, et al.
Published: (2025)
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
by: Si, Qi, et al.
Published: (2026)
by: Si, Qi, et al.
Published: (2026)
STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
by: Foo, Shi Quan, et al.
Published: (2025)
by: Foo, Shi Quan, et al.
Published: (2025)
A Unified Framework for Gradient Aggregation in Multi-Objective Optimization
by: Hu, Zeou, et al.
Published: (2026)
by: Hu, Zeou, et al.
Published: (2026)
Latent Diffusion Inversion Requires Understanding the Latent Space
by: Rao, Mingxing, et al.
Published: (2025)
by: Rao, Mingxing, et al.
Published: (2025)
JLT: Clean-Latent Prediction in Latent Diffusion Transformers
by: Fu, Funing, et al.
Published: (2026)
by: Fu, Funing, et al.
Published: (2026)
Latent-Augmented Discrete Diffusion Models
by: Shariatian, Dario, et al.
Published: (2025)
by: Shariatian, Dario, et al.
Published: (2025)
Latent Diffusion for Neural Spiking Data
by: Kapoor, Jaivardhan, et al.
Published: (2024)
by: Kapoor, Jaivardhan, et al.
Published: (2024)
Similar Items
-
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels
by: Mosbach, Malte, et al.
Published: (2024) -
SOLD: Sinhala Offensive Language Dataset
by: Ranasinghe, Tharindu, et al.
Published: (2022) -
Evaluating Effects of Augmented SELFIES for Molecular Understanding Using QK-LSTM
by: Beaudoin, Collin, et al.
Published: (2025) -
Representing Molecules with Algebraic Data Types: Beyond SMILES and SELFIES
by: Goldstein, Oliver, et al.
Published: (2025) -
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
by: Rozet, François, et al.
Published: (2025)