AI Wiki — Knowledge Base

Physics-informed distribution of relaxation times estimation and latent-space condition monitoring of solid oxide fuel and electrolysis cells from electrochemical impedance spectroscopy

arXiv:2608.13305v1 Announce Type: cross Abstract: Estimating the distribution of relaxation times (DRT) fromelectrochemical impedance spectroscopy (EIS) is an ill-posed inverse problem that is highly

researcharxiv-cs-ai

14 Aug 2026

Search: “latent-space”

On the Information-Theoretic Limits of Latent-Space Watermarking Through Pretrained Generators

Latent-Space Intervention for Cross-Lingual Factual Consistency: Consistency Improvements without Accuracy Drops

Latent-space Attacks for Refusal Evasion in Language Models

VIGOR: Zero-Shot Visual Generalization via Latent-Space Consistency in Model-Based Reinforcement Learning

RoboStriker: Latent-Space Strategic Games for Autonomous Humanoid Boxing

FarSky: Task-Aware Latent-Space Coupling for Generative Intra-Hour Solar Forecasting

Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates

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

Time-Anchored Diffusion Language Models: Latent-Space Caching for Fast Generation

Circuit-MLLM: Topological Logic-Guided Latent-Space Visual Reasoning for Circuit Schematic Understanding

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

LatentReRig: An SDF-Based VAE with Dual Decoders for Latent-Space Deformation Conditioning

Auditing Latent-Space Monitors for Autonomous Driving

Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models

Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning

Pitch-class Steering for Diffusion-based Music Generation via Latent-space Probes

Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces

Perturb the Thought, Not the Pixels: Latent-Space Rollout Diversification for Reinforcement Learning of Vision-Language Models

Physics-informed distribution of relaxation times estimation and latent-space condition monitoring of solid oxide fuel and electrolysis cells from electrochemical impedance spectroscopy

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

Understanding Latent Diffusability via Fisher Geometry

Neural Residual Modeling for Scientific Data Compression under Guaranteed Error Bounds

NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction

LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL

Modeling Latent Disturbances for Robust Decision-Making in World Models

Gradient-Free Sampling from Generative Models via Stochastic Bounded Extremum Seeking

LRC-JEPA: Disentangling Dynamics and Residual Context for Efficient World Models

PixelDiT2: Representation-Grounded Pixel Diffusion Transformers

Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On

Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations

Measuring Activation Control in Large Language Models

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