Publications (10)
Queer In AI: A Case Study in Community-Led Participatory AI
Organizers Of QueerInAI, :, Anaelia Ovalle +48
We present Queer in AI as a case study for community-led participatory design in AI. We examine how participatory design and intersectional tenets started and shaped this community…
A Comparison of Speech Data Augmentation Methods Using S3PRL Toolkit
Mina Huh, Ruchira Ray, Corey Karnei
Data augmentations are known to improve robustness in speech-processing tasks. In this study, we summarize and compare different data augmentation strategies using S3PRL toolkit. W…
CAVER: Curious Audiovisual Exploring Robot
Luca Macesanu, Boueny Folefack, Samik Singh +3
Multimodal audiovisual perception can enable new avenues for robotic manipulation, from better material classification to the imitation of demonstrations for which only audio signa…
Mitigating Exaggerated Safety in Large Language Models
Ruchira Ray, Ruchi Bhalani
As the popularity of Large Language Models (LLMs) grow, combining model safety with utility becomes increasingly important. The challenge is making sure that LLMs can recognize and…
Mixed-Initiative Dialog for Human-Robot Collaborative Manipulation
Albert Yu, Chengshu Li, Luca Macesanu +4
Effective robotic systems for long-horizon human-robot collaboration must adapt to a wide range of human partners, whose physical behavior, willingness to assist, and understanding…
The Role of Biomarkers on Haemodynamics in Atherosclerotic Artery
Ruchira Ray, Bibaswan Dey
Atherosclerosis, a chronic inflammatory cardiovascular disease, leads to arterial constriction caused by the accumulation of lipids, cholesterol, and various substances within arte…
Asymptotics for power posterior mean estimation
Ruchira Ray, Marco Avella Medina, Cynthia Rush
Power posteriors "robustify" standard Bayesian inference by raising the likelihood to a constant fractional power, effectively downweighting its influence in the calculation of the…
Why Automate This? Exploring Correlations Between Desire for Robotic Automation, Invested Time and Well-Being
Ruchira Ray, Leona Pang, Sanjana Srivastava +3
Understanding the motivations underlying the human inclination to automate tasks is vital for developing robots that fit seamlessly into daily life. Accordingly, we ask: are indivi…
Statistical Guarantees for Data-driven Posterior Tempering
Ruchira Ray, Marco Avella Medina, Cynthia Rush
Posterior tempering reduces the influence of the likelihood in the calculation of the posterior by raising the likelihood to a fractional power . The resulting power posterior…
Controlled Training Data Generation with Diffusion Models
Teresa Yeo, Andrei Atanov, Harold Benoit +4
We present a method to control a text-to-image generative model to produce training data useful for supervised learning. Unlike previous works that employ an open-loop approach and…