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TDGT: A Tabular Data Generation Toolkit supporting adaptive GPU-accelerated Bayesian mixture models, diffusion-based models, and latent-space generative modeling

arXiv:2606.31268v1 Announce Type: cross Abstract: The growing demand for privacy-preserving data sharing has positioned synthetic data generation as a critical component of responsible AI workflows. D

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1 Jul 2026

Search: “latent-space”

Latent-space Attacks for Refusal Evasion in Language Models

From Performance to Viability: A Bootstrap Framework for Latent-Space Representation Learning in Adaptive Biological Systems

RLMM-Flow: A Flow-based Mobile Manipulation Framework with Latent-Space Reinforcement Learning

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning

Conformal Disentanglement and Latent-Space Curation: A Neural Framework for Perspective Synthesis, Differentiation and Targeted Generation

Prospective Dynamic 3D MRI Reconstruction via Latent-Space Motion Tracking from Single Measurement

ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation

CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving

Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints

From Observed Viability to Internal Predictive Approximation: A Single-Subject Latent-Space Analysis of Gait Dynamics Under Occlusal Constraint

Do All LLMs Know When They're Being Harmful? A Reproducibility Study of Latent-Space Safety Probes Across Model Families

The balance between compactness and forecast accuracy of data-driven latent-space reduced-order models in controlled wake flows

TDGT: A Tabular Data Generation Toolkit supporting adaptive GPU-accelerated Bayesian mixture models, diffusion-based models, and latent-space generative modeling

Intercepting the Future: Latent-Space Predictive World Model for Dynamic VLA Manipulation

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems

ESLD (External Surrogate Latent Defense): A Latent-Space Architecture for Faster, Stronger Prompt-Injection Defense

Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs

Latent-Space Causal Discovery from Indirect Neuroimaging Observations

LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design

Post-Hoc Sparse Coding of Latent Communication Between Vision-Language Model Agents

CellWorld: From Gene-Level Reconstruction to Latent Cell Prediction in Spatial Transcriptomics Foundation Models

DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture

FREPix: Frequency-Heterogeneous Flow Matching for Pixel-Space Image Generation

CNS-Edit++: Category-Agnostic 3D Editing with Coupled Neural Shape Representation

Mobility-Aware Cache Framework for Scalable LLM-Based Human Mobility Simulation

Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

In-Context Learning for Latent Space Bayesian Optimization

Self-Supervised Learning with a Multi-Task Latent Space Objective

Semantic-Enriched Latent Visual Reasoning

WavFlow: Audio Generation in Waveform Space

Visual Latents Know More Than They Say: Unsilencing Latent Reasoning in MLLMs

Calibrate-Then-Delegate: Safety Monitoring with Risk and Budget Guarantees via Model Cascades

PixelDiT: Pixel Diffusion Transformers for Image Generation

MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries

AI-based single-shot structured-light depth reconstruction for real-time laparoscopic surgical guidance

Latent Policy Steering through One-Step Flow Policies

Interpretable Human-Label-Free Deep Learning for Real-Bogus Classification with Uncertainty Quantification

Latent Spatial Memory for Video World Models

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations

UniCSG: Unified High-Fidelity Content-Constrained Style-Driven Generation via Staged Semantic and Frequency Disentanglement

FoR-SALE: Frame of Reference-guided Spatial Adjustment in LLM-based Diffusion Editing

MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent Manipulation

RLMOpt: Adaptive Prompt Optimization via Recursive Language Models

Sheaf-Based Federated Representation Learning

SynBoost: A Synergistic Framework for Fast Sampling of Diffusion Models

Biologically Informed Representation Learning for Robust Cross-Center Generalization of MALDI-TOF Mass Spectrometry