activity
20202025
most citedNoise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks

12 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025★ 1 cited

Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer

Gemini Robotics Team, Abbas Abdolmaleki, Saminda Abeyruwan +169

General-purpose robots need a deep understanding of the physical world, advanced reasoning, and general and dexterous control. This report introduces the latest generation of the G…

cs.RO2025★ 6 cited

Gemini Robotics: Bringing AI into the Physical World

Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie +115

Recent advancements in large multimodal models have led to the emergence of remarkable generalist capabilities in digital domains, yet their translation to physical agents such as…

cs.CL2021★ 3 cited

Topic Modeling in the Voynich Manuscript

Rachel Sterneck, Annie Polish, Claire Bowern

This article presents the results of investigations using topic modeling of the Voynich Manuscript (Beinecke MS408). Topic modeling is a set of computational methods which are used…

cs.CV2021★ 12 cited

Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks

Rachel Sterneck, Abhishek Moitra, Priyadarshini Panda

Neural networks have achieved remarkable performance in computer vision, however they are vulnerable to adversarial examples. Adversarial examples are inputs that have been careful…

cs.CL2020

Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling

Yiding Hao, Simon Mendelsohn, Rachel Sterneck +2

By positing a relationship between naturalistic reading times and information-theoretic surprisal, surprisal theory (Hale, 2001; Levy, 2008) provides a natural interface between la…