:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chang, Allen, Fontaine, Matthew C., Booth, Serena, Matarić, Maja J., Nikolaidis, Stefanos
Format:	Preprint
Published:	2023
Subjects:	Computers and Society Machine Learning
Online Access:	https://arxiv.org/abs/2312.14369
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
by: Dennler, Nathaniel, et al.
Published: (2025)

Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
by: Dennler, Nathaniel, et al.
Published: (2024)

Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces
by: Tjanaka, Bryon, et al.
Published: (2026)

Improving User Experience in Preference-Based Optimization of Reward Functions for Assistive Robots
by: Dennler, Nathaniel, et al.
Published: (2024)

Soft Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
by: Batra, Sumeet, et al.
Published: (2023)

Density Descent for Diversity Optimization
by: Lee, David H., et al.
Published: (2023)

Modeling Personalized Difficulty of Rehabilitation Exercises Using Causal Trees
by: Dennler, Nathaniel, et al.
Published: (2025)

Singing the Body Electric: The Impact of Robot Embodiment on User Expectations
by: Dennler, Nathaniel, et al.
Published: (2024)

Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
by: Shi, Zhonghao, et al.
Published: (2024)

Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
by: Costales, Robby, et al.
Published: (2024)

The opportunities and risks of large language models in mental health
by: Lawrence, Hannah R., et al.
Published: (2024)

The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration
by: Dennler, Nathaniel, et al.
Published: (2024)

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
by: Momha, Marcelle
Published: (2025)

Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation
by: Kulynych, Bogdan, et al.
Published: (2026)

Agents Thinking Fast and Slow: A Talker-Reasoner Architecture
by: Christakopoulou, Konstantina, et al.
Published: (2024)

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
by: Wu, Yixin, et al.
Published: (2025)

Algorithmic Scenario Generation as Quality Diversity Optimization
by: Nikolaidis, Stefanos
Published: (2024)

Behind the Smile: Mental Health Implications of Mother-Infant Interactions Revealed Through Smile Analysis
by: Dust, Adi, et al.
Published: (2024)

Designing Robot Identity: The Role of Voice, Clothing, and Task on Robot Gender Perception
by: Dennler, Nathaniel S., et al.
Published: (2024)

DualAlign: Generating Clinically Grounded Synthetic Data
by: Li, Rumeng, et al.
Published: (2025)

Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study
by: Smolyak, Daniel, et al.
Published: (2024)

Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
by: Catarino, Andre, et al.
Published: (2025)

Bitcoin's Edge: Embedded Sentiment in Blockchain Transactional Data
by: Kleitsikas, Charalampos, et al.
Published: (2025)

Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning
by: Huang, Tianyi
Published: (2025)

Opportunities and Challenges of Frontier Data Governance With Synthetic Data
by: Thakur, Madhavendra, et al.
Published: (2025)

Synthetic Data and the Shifting Ground of Truth
by: Offenhuber, Dietmar
Published: (2025)

Using Design Metaphors to Understand User Expectations of Socially Interactive Robot Embodiments
by: Dennler, Nathaniel, et al.
Published: (2022)

Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using Machine Learning: Investigating the Influence of Punjab's Stubble Burning on AQI Variability
by: Sidhu, Kamaljeet Kaur, et al.
Published: (2024)

Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective
by: Ganev, Georgi, et al.
Published: (2026)

Synthpop++: A Hybrid Framework for Generating A Country-scale Synthetic Population
by: Neekhra, Bhavesh, et al.
Published: (2023)

Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IG
by: Dennler, Nathaniel, et al.
Published: (2026)

Synthetic Data in AI: Challenges, Applications, and Ethical Implications
by: Hao, Shuang, et al.
Published: (2024)

On-Demand Sampling: Learning Optimally from Multiple Distributions
by: Haghtalab, Nika, et al.
Published: (2022)

Distribution-Free Fair Federated Learning with Small Samples
by: Yin, Qichuan, et al.
Published: (2024)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)

Feature Importance Disparities for Data Bias Investigations
by: Chang, Peter W., et al.
Published: (2023)

Using Machine Learning in Analyzing Air Quality Discrepancies of Environmental Impact
by: Wang, Shuangbao Paul, et al.
Published: (2025)

EnviroLLM: Resource Tracking and Optimization for Local AI
by: Allen, Troy
Published: (2025)