Amanda Rios

According to our database, Amanda Rios authored at least 16 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Structural Verification for Reliable EDA Code Generation without Tool-in-the-Loop Debugging.

Dinithi Jayasuriya, Aravind Saravanan, Nilesh A. Ahuja, Amanda Rios, Amit Ranjan Trivedi

CoRR, April, 2026

TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same.

Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi

CoRR, March, 2026

2025

TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress.

Onat Güngör, Amanda Sofie Rios, Nilesh A. Ahuja, Tajana Rosing

CoRR, February, 2025

2024

Uncertainty Quantification in Continual Open-World Learning.

Amanda Sofie Rios, Ibrahima J. Ndiour, Parual Datta, Jaroslaw Sydir, Omesh Tickoo, Nilesh A. Ahuja

CoRR, 2024

CONCLAD: COntinuous Novel CLAss Detector.

Amanda Rios, Ibrahima J. Ndiour, Parual Datta, Omesh Tickoo, Nilesh A. Ahuja

CoRR, 2024

CUAL: Continual Uncertainty-aware Active Learner.

Amanda Rios, Ibrahima J. Ndiour, Parual Datta, Jerry Sydir, Omesh Tickoo, Nilesh A. Ahuja

CoRR, 2024

A Robust Framework for Evaluation of Unsupervised Time-Series Anomaly Detection.

Onat Güngör, Amanda Rios, Priyanka Mudgal, Nilesh A. Ahuja, Tajana Rosing

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Lightweight Learner for Shared Knowledge Lifelong Learning.

Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti

Trans. Mach. Learn. Res., 2023

2022

Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems.

Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti

IEEE Trans. Neural Networks Learn. Syst., 2022

Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines.

Yixin Xu, Zijian Zhao, Yi Xiao, Tongguang Yu, Halid Mulaosmanovic, Dominik Kleimaier, Stefan Dünkel, Sven Beyer, Xiao Gong, Rajiv V. Joshi, X. Sharon Hu, Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti, Eric Homan, Sumitha George, Vijaykrishnan Narayanan, Kai Ni

CoRR, 2022

What can we learn from misclassified ImageNet images?

Shixian Wen, Amanda Sofie Rios, Kiran Lekkala, Laurent Itti

CoRR, 2022

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection.

Amanda Rios, Nilesh A. Ahuja, Ibrahima J. Ndiour, Ergin Utku Genc, Laurent Itti, Omesh Tickoo

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

ShapeY: Measuring Shape Recognition Capacity Using Nearest Neighbor Matching.

Jong Woo Nam, Amanda Sofie Rios, Bartlett W. Mel

CoRR, 2021

2020

Lifelong Learning Without a Task Oracle.

Amanda Rios, Laurent Itti

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019

Closed-Loop Memory GAN for Continual Learning.

Amanda Rios, Laurent Itti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Closed-Loop GAN for continual Learning.

Amanda Rios, Laurent Itti

CoRR, 2018