Arinbjörn Kolbeinsson

According to our database, Arinbjörn Kolbeinsson authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

Stability-Aware Prompt Optimization for Clinical Data Abstraction.

Arinbjörn Kolbeinsson, Daniel Timbie, Sajjan Narsinghani, Sanjay Hariharan

CoRR, January, 2026

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt

CoRR, January, 2026

2025

Adversarial Negotiation Dynamics in Generative Language Models.

Arinbjörn Kolbeinsson, Benedikt Kolbeinsson

CoRR, January, 2025

Composable Interventions for Language Models.

Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Generative models for wearables data.

Arinbjörn Kolbeinsson, Luca Foschini

CoRR, 2023

STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments.

Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections.

Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing.

Arinbjörn Kolbeinsson, Naman Shukla, Akhil Gupta, Lavanya Marla, Kartik Yellepeddi

INFORMS J. Appl. Anal., 2022

Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction.

Pu Yang, Arinbjörn Kolbeinsson, Naman Shukla, Javier A. Barria

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Tensor Dropout for Robust Learning.

Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Animashree Anandkumar, Ioanna Tzoulaki, Paul M. Matthews

IEEE J. Sel. Top. Signal Process., 2021

Self-supervision of wearable sensors time-series data for influenza detection.

Arinbjörn Kolbeinsson, Piyusha Gade, Raghu Kainkaryam, Filip Jankovic, Luca Foschini

CoRR, 2021

PenDer: Incorporating Shape Constraints via Penalized Derivatives.

Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Tensor Regression Networks.

Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar

J. Mach. Learn. Res., 2020

GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability.

Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings

CoRR, 2020

Patch-Based Brain Age Estimation from MR Images.

Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Biologically inspired architectures for sample-efficient deep reinforcement learning.

Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo

CoRR, 2019

Adaptive Model Selection Framework: An Application to Airline Pricing.

Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla, Kartik Yellepeddi

CoRR, 2019

Stochastically Rank-Regularized Tensor Regression Networks.

Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews

CoRR, 2019

Dynamic Pricing for Airline Ancillaries with Customer Context.

Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019