activity
20142026
most citedDeep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection

18 citations · 74 across the 36 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Nutri-ATLAS: Embodied Agent for Tabulated Lookup and Assistance for Smarter nutrition

Uttej Kallakuri, Boxun Hu, Ankur A. Butala +2

Generative and Agentic IoT systems offer a promising foundation for digital healthcare applications that combine sensing, personalized reasoning, and autonomous interaction in real…

cs.AI2026

LEAP-NBV: Lightweight Edge Active-Perception for Foundation-Model Next-Best-View Planning

Boxun Hu, Jiawei Ge, Axel Krieger +2

Foundation models are endowing autonomous systems with greater intelligence, enabling a more comprehensive understanding of the environment through visual perception. A representat…

cs.AI2025

Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding

Mingyang Mao, Mariela M. Perez-Cabarcas, Utteja Kallakuri +3

To effectively engage in human society, the ability to adapt, filter information, and make informed decisions in ever-changing situations is critical. As robots and intelligent age…

cs.AI2021

Automatic Goal Generation using Dynamical Distance Learning

Bharat Prakash, Nicholas Waytowich, Tinoosh Mohsenin +1

Reinforcement Learning (RL) agents can learn to solve complex sequential decision making tasks by interacting with the environment. However, sample efficiency remains a major chall…

cs.AI2021★ 2 cited

Interactive Hierarchical Guidance using Language

Bharat Prakash, Nicholas Waytowich, Tim Oates +1

Reinforcement learning has been successful in many tasks ranging from robotic control, games, energy management etc. In complex real world environments with sparse rewards and long…

cs.AI2019★ 9 cited

Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention

Bharat Prakash, Mohit Khatwani, Nicholas Waytowich +1

Recent progress in AI and Reinforcement learning has shown great success in solving complex problems with high dimensional state spaces. However, most of these successes have been…