Saved in:
| Main Authors: | Wu, Sidi, Henggeler, Katharina, Chen, Yizi, Hurni, Lorenz |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.15770 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Efficient System for Automatic Map Storytelling -- A Case Study on Historical Maps
by: Liu, Ziyi, et al.
Published: (2024)
by: Liu, Ziyi, et al.
Published: (2024)
Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
by: Affolter, Claudio, et al.
Published: (2025)
by: Affolter, Claudio, et al.
Published: (2025)
Deep learning enables urban change profiling through alignment of historical maps
by: Wu, Sidi, et al.
Published: (2026)
by: Wu, Sidi, et al.
Published: (2026)
Cognitive maps are generative programs
by: Kryven, Marta, et al.
Published: (2025)
by: Kryven, Marta, et al.
Published: (2025)
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
by: Wu, Sidi, et al.
Published: (2024)
by: Wu, Sidi, et al.
Published: (2024)
A roadmap for AI in robotics
by: Billard, Aude, et al.
Published: (2025)
by: Billard, Aude, et al.
Published: (2025)
Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models
by: Liu, Ziyi, et al.
Published: (2025)
by: Liu, Ziyi, et al.
Published: (2025)
Panoptic Diffusion Models: co-generation of images and segmentation maps
by: Long, Yinghan, et al.
Published: (2024)
by: Long, Yinghan, et al.
Published: (2024)
On the usability of generative AI: Human generative AI
by: Ravera, Anna, et al.
Published: (2025)
by: Ravera, Anna, et al.
Published: (2025)
An AI-powered Bayesian generative modeling approach for causal inference in observational studies
by: Liu, Qiao, et al.
Published: (2025)
by: Liu, Qiao, et al.
Published: (2025)
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation
by: Li, Fengyu, et al.
Published: (2025)
by: Li, Fengyu, et al.
Published: (2025)
ANFIS-based prediction of power generation for combined cycle power plant
by: Paparimoghadamborazjani, Maryam, et al.
Published: (2022)
by: Paparimoghadamborazjani, Maryam, et al.
Published: (2022)
Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation
by: Chang, Kaiyan, et al.
Published: (2024)
by: Chang, Kaiyan, et al.
Published: (2024)
On logic and generative AI
by: Gurevich, Yuri, et al.
Published: (2024)
by: Gurevich, Yuri, et al.
Published: (2024)
BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
by: Luo, Guyue, et al.
Published: (2026)
by: Luo, Guyue, et al.
Published: (2026)
AI-generated Text Detection with a GLTR-based Approach
by: Wu, Lucía Yan, et al.
Published: (2025)
by: Wu, Lucía Yan, et al.
Published: (2025)
A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
by: Zhang, Zicheng, et al.
Published: (2024)
by: Zhang, Zicheng, et al.
Published: (2024)
Diversity in deep generative models and generative AI
by: Turinici, Gabriel
Published: (2022)
by: Turinici, Gabriel
Published: (2022)
Learning to Evaluate the Artness of AI-generated Images
by: Chen, Junyu, et al.
Published: (2023)
by: Chen, Junyu, et al.
Published: (2023)
Challenge design roadmap
by: Balderas, Hugo Jair Escalante, et al.
Published: (2024)
by: Balderas, Hugo Jair Escalante, et al.
Published: (2024)
MoleCode unlocks structural intelligence in large language models
by: Yan, Zhiyuan, et al.
Published: (2026)
by: Yan, Zhiyuan, et al.
Published: (2026)
Automating IETF Insights generation with AI
by: Jiménez, Jaime
Published: (2024)
by: Jiménez, Jaime
Published: (2024)
LLMs unlock new paths to monetizing exploits
by: Carlini, Nicholas, et al.
Published: (2025)
by: Carlini, Nicholas, et al.
Published: (2025)
A new wave of vehicle insurance fraud fueled by generative AI
by: Hever, Amir, et al.
Published: (2025)
by: Hever, Amir, et al.
Published: (2025)
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
by: Noori, Ayush, et al.
Published: (2025)
by: Noori, Ayush, et al.
Published: (2025)
From generative AI to the brain: five takeaways
by: Gros, Claudius
Published: (2025)
by: Gros, Claudius
Published: (2025)
Are generative AI text annotations systematically biased?
by: Stolwijk, Sjoerd B., et al.
Published: (2025)
by: Stolwijk, Sjoerd B., et al.
Published: (2025)
We are not able to identify AI-generated images
by: Pavão, Adrien
Published: (2025)
by: Pavão, Adrien
Published: (2025)
Hallucination, reliability, and the role of generative AI in science
by: Rathkopf, Charles
Published: (2025)
by: Rathkopf, Charles
Published: (2025)
Streamlining the review process: AI-generated annotations in research manuscripts
by: Díaz, Oscar, et al.
Published: (2024)
by: Díaz, Oscar, et al.
Published: (2024)
AI-generated Image Quality Assessment in Visual Communication
by: Tian, Yu, et al.
Published: (2024)
by: Tian, Yu, et al.
Published: (2024)
A funny companion: Distinct neural responses to perceived AI- versus human-generated humor
by: Rao, Xiaohui, et al.
Published: (2025)
by: Rao, Xiaohui, et al.
Published: (2025)
A systematic review of generative AI usage for IT project management
by: Anghel, Ionut, et al.
Published: (2026)
by: Anghel, Ionut, et al.
Published: (2026)
AI-generated Essays: Characteristics and Implications on Automated Scoring and Academic Integrity
by: Zhong, Yang, et al.
Published: (2024)
by: Zhong, Yang, et al.
Published: (2024)
Structure-Guided Adaptive Propagation for Protein-Protein Interaction Site Prediction
by: Zhu, Enqiang, et al.
Published: (2026)
by: Zhu, Enqiang, et al.
Published: (2026)
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
by: Buess, Lukas, et al.
Published: (2025)
by: Buess, Lukas, et al.
Published: (2025)
Agentic generative AI for media content discovery at the national football league
by: Wang, Henry, et al.
Published: (2025)
by: Wang, Henry, et al.
Published: (2025)
Computational Hermeneutics: Evaluating generative AI as a cultural technology
by: Kommers, Cody, et al.
Published: (2026)
by: Kommers, Cody, et al.
Published: (2026)
Automated rock joint trace mapping using a supervised learning model trained on synthetic data generated by parametric modelling
by: Chiu, Jessica Ka Yi, et al.
Published: (2026)
by: Chiu, Jessica Ka Yi, et al.
Published: (2026)
Explaining generative diffusion models via visual analysis for interpretable decision-making process
by: Park, Ji-Hoon, et al.
Published: (2024)
by: Park, Ji-Hoon, et al.
Published: (2024)
Similar Items
-
An Efficient System for Automatic Map Storytelling -- A Case Study on Historical Maps
by: Liu, Ziyi, et al.
Published: (2024) -
Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
by: Affolter, Claudio, et al.
Published: (2025) -
Deep learning enables urban change profiling through alignment of historical maps
by: Wu, Sidi, et al.
Published: (2026) -
Cognitive maps are generative programs
by: Kryven, Marta, et al.
Published: (2025) -
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
by: Wu, Sidi, et al.
Published: (2024)