Knowledge-integrated AutoEncoder Model
Fuente:
arXiv
Saved in:
| Main Authors: | Lazebnik, Teddy, Simon-Keren, Liron |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
by: Lazebnik, Teddy, et al.
Published: (2023)
by: Lazebnik, Teddy, et al.
Published: (2023)
SplashNet: Split-and-Share Encoders for Accurate and Efficient Typing with Surface Electromyography
by: Hadidi, Nima, et al.
Published: (2025)
by: Hadidi, Nima, et al.
Published: (2025)
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
by: Fan, Mengchen, et al.
Published: (2024)
by: Fan, Mengchen, et al.
Published: (2024)
Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
by: Khalid, Adia, et al.
Published: (2025)
by: Khalid, Adia, et al.
Published: (2025)
Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery
by: Williams, Alice, et al.
Published: (2025)
by: Williams, Alice, et al.
Published: (2025)
Speedrunning and path integrals
by: Lami, Gabriele
Published: (2024)
by: Lami, Gabriele
Published: (2024)
Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
by: Storey, V. C., et al.
Published: (2025)
by: Storey, V. C., et al.
Published: (2025)
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI
by: Barua, Saikat, et al.
Published: (2023)
by: Barua, Saikat, et al.
Published: (2023)
Inducing State Anxiety in LLM Agents Reproduces Human-Like Biases in Consumer Decision-Making
by: Ben-Zion, Ziv, et al.
Published: (2025)
by: Ben-Zion, Ziv, et al.
Published: (2025)
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language Models
by: Guo, Jiayi, et al.
Published: (2024)
by: Guo, Jiayi, et al.
Published: (2024)
The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
by: Li, Harry, et al.
Published: (2025)
by: Li, Harry, et al.
Published: (2025)
Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces
by: Jang, Hyo-Jeong, et al.
Published: (2025)
by: Jang, Hyo-Jeong, et al.
Published: (2025)
HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery
by: Jiang, Haoran, et al.
Published: (2025)
by: Jiang, Haoran, et al.
Published: (2025)
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
by: Ou, Yixin, et al.
Published: (2025)
by: Ou, Yixin, et al.
Published: (2025)
Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading
by: Yang, Yoonseok, et al.
Published: (2025)
by: Yang, Yoonseok, et al.
Published: (2025)
Auto Detecting Cognitive Events Using Machine Learning on Pupillary Data
by: Dang, Quang, et al.
Published: (2024)
by: Dang, Quang, et al.
Published: (2024)
Exploring the impact of virtual reality user engagement on tourist behavioral response integrated an environment concern of touristic travel perspective: A new hybrid machine learning approach
by: Shang, D. W.
Published: (2024)
by: Shang, D. W.
Published: (2024)
Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysis
by: Yada, Yuki, et al.
Published: (2023)
by: Yada, Yuki, et al.
Published: (2023)
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
by: Li, Harry, et al.
Published: (2023)
by: Li, Harry, et al.
Published: (2023)
AutoGLM: Autonomous Foundation Agents for GUIs
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
Lens functions for exploring UMAP Projections with Domain Knowledge
by: Bot, Daniel M., et al.
Published: (2024)
by: Bot, Daniel M., et al.
Published: (2024)
Bayesian Distributional Models of Executive Functioning
by: Kasumba, Robert, et al.
Published: (2025)
by: Kasumba, Robert, et al.
Published: (2025)
The Grammar of Interactive Explanatory Model Analysis
by: Baniecki, Hubert, et al.
Published: (2020)
by: Baniecki, Hubert, et al.
Published: (2020)
Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting
by: Pillai, Arvind, et al.
Published: (2025)
by: Pillai, Arvind, et al.
Published: (2025)
An Analysis of Human Alignment of Latent Diffusion Models
by: Linhardt, Lorenz, et al.
Published: (2024)
by: Linhardt, Lorenz, et al.
Published: (2024)
Visual Exploration of Stopword Probabilities in Topic Models
by: Xue, Shuangjiang, et al.
Published: (2025)
by: Xue, Shuangjiang, et al.
Published: (2025)
Fairness Perceptions in Regression-based Predictive Models
by: Telukunta, Mukund, et al.
Published: (2025)
by: Telukunta, Mukund, et al.
Published: (2025)
Supporting Sensemaking of Large Language Model Outputs at Scale
by: Gero, Katy Ilonka, et al.
Published: (2024)
by: Gero, Katy Ilonka, et al.
Published: (2024)
iNNspector: Visual, Interactive Deep Model Debugging
by: Spinner, Thilo, et al.
Published: (2024)
by: Spinner, Thilo, et al.
Published: (2024)
Hierarchical Neural Additive Models for Interpretable Demand Forecasts
by: Feddersen, Leif, et al.
Published: (2024)
by: Feddersen, Leif, et al.
Published: (2024)
ECVL-ROUTER: Scenario-Aware Routing for Vision-Language Models
by: Tang, Xin, et al.
Published: (2025)
by: Tang, Xin, et al.
Published: (2025)
Improving User Interface Generation Models from Designer Feedback
by: Wu, Jason, et al.
Published: (2025)
by: Wu, Jason, et al.
Published: (2025)
Leveraging Foundation Models for Calibration-Free c-VEP BCIs
by: Behboodi, Mohammadreza, et al.
Published: (2025)
by: Behboodi, Mohammadreza, et al.
Published: (2025)
Increasing Interaction Fidelity: Training Routines for Biomechanical Models in HCI
by: Miazga, Michał Patryk, et al.
Published: (2025)
by: Miazga, Michał Patryk, et al.
Published: (2025)
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
by: Chatzimparmpas, A., et al.
Published: (2022)
by: Chatzimparmpas, A., et al.
Published: (2022)
EEG-X: Device-Agnostic and Noise-Robust Foundation Model for EEG
by: Foumani, Navid Mohammadi, et al.
Published: (2025)
by: Foumani, Navid Mohammadi, et al.
Published: (2025)
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
by: Chatzimparmpas, Angelos, et al.
Published: (2023)
by: Chatzimparmpas, Angelos, et al.
Published: (2023)
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
by: Park, Unnseo, et al.
Published: (2024)
by: Park, Unnseo, et al.
Published: (2024)
An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
by: Sisneros, Robert, et al.
Published: (2024)
by: Sisneros, Robert, et al.
Published: (2024)
Cognitive State Inference from VR Motion via Motion Foundation Model
by: Wen, Kaiang, et al.
Published: (2025)
by: Wen, Kaiang, et al.
Published: (2025)
Similar Items
-
Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
by: Lazebnik, Teddy, et al.
Published: (2023) -
SplashNet: Split-and-Share Encoders for Accurate and Efficient Typing with Surface Electromyography
by: Hadidi, Nima, et al.
Published: (2025) -
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
by: Fan, Mengchen, et al.
Published: (2024) -
Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
by: Khalid, Adia, et al.
Published: (2025) -
Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery
by: Williams, Alice, et al.
Published: (2025)