Arinbjörn Kolbeinsson

22 papers A* 3C 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Stability-Aware Prompt Optimization for Clinical Data Abstraction. CoRR Arinbjörn Kolbeinsson, Daniel Timbie, Sajjan Narsinghani, Sanjay Hariharan
2026	J	`jnl`	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR 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
2025	J	`jnl`	Adversarial Negotiation Dynamics in Generative Language Models. CoRR Arinbjörn Kolbeinsson, Benedikt Kolbeinsson
2025	A*	`conf`	Composable Interventions for Language Models. ICLR 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
2024	J	`jnl`	Composable Interventions for Language Models. CoRR Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2023	J	`jnl`	Generative models for wearables data. CoRR Arinbjörn Kolbeinsson, Luca Foschini
2023	—	`conf`	Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. CHIL Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff
2023	—	`conf`	STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments. TML4H Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu
2022	C	`conf`	Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction. ICMLA Pu Yang, Arinbjörn Kolbeinsson, Naman Shukla, Javier A. Barria
2022	J	`jnl`	Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing. INFORMS J. Appl. Anal. Arinbjörn Kolbeinsson, Naman Shukla, Akhil Gupta, Lavanya Marla, Kartik Yellepeddi
2021	A*	`conf`	PenDer: Incorporating Shape Constraints via Penalized Derivatives. AAAI Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson
2021	J	`jnl`	Self-supervision of wearable sensors time-series data for influenza detection. CoRR Arinbjörn Kolbeinsson, Piyusha Gade, Raghu Kainkaryam, Filip Jankovic, Luca Foschini
2021	J	`jnl`	Tensor Dropout for Robust Learning. IEEE J. Sel. Top. Signal Process. Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Animashree Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
2020	J	`jnl`	GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. CoRR Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings
2020	—	`conf`	Patch-Based Brain Age Estimation from MR Images. MLCN/RNO-AI@MICCAI Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
2020	J	`jnl`	Patch-based Brain Age Estimation from MR Images. CoRR Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
2020	J	`jnl`	Tensor Regression Networks. J. Mach. Learn. Res. Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar
2019	J	`jnl`	Adaptive Model Selection Framework: An Application to Airline Pricing. CoRR Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla, Kartik Yellepeddi
2019	J	`jnl`	Biologically inspired architectures for sample-efficient deep reinforcement learning. CoRR Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo
2019	A*	`conf`	Dynamic Pricing for Airline Ancillaries with Customer Context. KDD Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi
2019	J	`jnl`	Dynamic Pricing for Airline Ancillaries with Customer Context. CoRR Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi
2019	J	`jnl`	Stochastically Rank-Regularized Tensor Regression Networks. CoRR Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews