Cover Image

Problematizing AI Omnipresence in Landscape Architecture

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fernberg, Phillip, Zhang, Zihao
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Architectures for Building Agentic AI
by: Nowaczyk, Sławomir
Published: (2025)

Landscape of AI safety concerns -- A methodology to support safety assurance for AI-based autonomous systems
by: Schnitzer, Ronald, et al.
Published: (2024)

AI Biases as Asymmetries: A Review to Guide Practice
by: Waters, Gabriella, et al.
Published: (2025)

Generative AI Models for Different Steps in Architectural Design: A Literature Review
by: Li, Chengyuan, et al.
Published: (2024)

A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes
by: Workman, Terri Elizabeth, et al.
Published: (2024)

From Bits to Boardrooms: A Cutting-Edge Multi-Agent LLM Framework for Business Excellence
by: Wang, Zihao, et al.
Published: (2025)

Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis
by: Chen, Jiaqing, et al.
Published: (2026)

There is a Singularity in the Loss Landscape
by: Lowell, Mark
Published: (2022)

Fractal Landscapes in Policy Optimization
by: Wang, Tao, et al.
Published: (2023)

Decoding the Diversity: A Review of the Indic AI Research Landscape
by: KJ, Sankalp, et al.
Published: (2024)

Agentic AI: A Comprehensive Survey of Architectures, Applications, and Future Directions
by: Ali, Mohamad Abou, et al.
Published: (2025)

Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
by: Mueller, Phillip, et al.
Published: (2024)

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
by: Gan, Yulu, et al.
Published: (2026)

ANO : Faster is Better in Noisy Landscape
by: Kegreisz, Adrien
Published: (2025)

Multiscale Dual-path Feature Aggregation Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Lv, Zihao, et al.
Published: (2025)

Grounding Generative Planners in Verifiable Logic: A Hybrid Architecture for Trustworthy Embodied AI
by: Wu, Feiyu, et al.
Published: (2026)

Visualizing Loss Functions as Topological Landscape Profiles
by: Geniesse, Caleb, et al.
Published: (2024)

ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
by: Bering, Alexander
Published: (2026)

Using AI to Measure Parkinson's Disease Severity at Home
by: Islam, Md Saiful, et al.
Published: (2023)

Beyond Winning: Margin of Victory Relative to Expectation Unlocks Accurate Skill Ratings
by: Shorewala, Shivam, et al.
Published: (2025)

Evaluating Loss Landscapes from a Topology Perspective
by: Xie, Tiankai, et al.
Published: (2024)

Model Merging on Loss Landscape: A Geometry Perspective
by: Lu, Juanwu, et al.
Published: (2026)

Robust Model-Based Optimization for Challenging Fitness Landscapes
by: Ghaffari, Saba, et al.
Published: (2023)

Iterative Batch Reinforcement Learning via Safe Diversified Model-based Policy Search
by: Najib, Amna, et al.
Published: (2024)

It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
by: Xu, Xingcheng, et al.
Published: (2023)

Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
by: Zbeeb, Mohammad, et al.
Published: (2024)

Early-Warning Signals of Grokking via Loss-Landscape Geometry
by: Xu, Yongzhong
Published: (2026)

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
by: Shaik, Thanveer, et al.
Published: (2023)

Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
by: Song, Xinyuan, et al.
Published: (2025)

Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning
by: Zhang, Zheng
Published: (2025)

NN-Former: Rethinking Graph Structure in Neural Architecture Representation
by: Xu, Ruihan, et al.
Published: (2025)

An AI Architecture with the Capability to Classify and Explain Hardware Trojans
by: Whitten, Paul, et al.
Published: (2024)

Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
by: Jeon, Dongjae, et al.
Published: (2024)

Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition
by: Chrisman, Brianna, et al.
Published: (2025)

Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
by: Evangelatos, Spyridon, et al.
Published: (2025)

A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models
by: Xie, YuQing, et al.
Published: (2025)

Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing
by: Abdennadher, Yesmine, et al.
Published: (2026)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
by: Zhang, Zeyang, et al.
Published: (2024)

Graph Neural Architecture Search with GPT-4
by: Wang, Haishuai, et al.
Published: (2023)

Caracal: Causal Architecture via Spectral Mixing
by: Gan, Bingzheng, et al.
Published: (2026)