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ORCIDArinbjörn Kolbeinsson
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2020 – today
- 2023
[c6]Mike A. Merrill, Esteban Safranchik, Arinbjörn Kolbeinsson, Piyusha Gade, Ernesto Ramirez, Ludwig Schmidt, Luca Foshchini, Tim Althoff:
Homekit2020: A Benchmark for Time Series Classification on a Large Mobile Sensing Dataset with Laboratory Tested Ground Truth of Influenza Infections. CHIL 2023: 207-228- [c5]Georgios Efstathiadis
, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu:
STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments. TML4H 2023: 85-92 - [i8]Arinbjörn Kolbeinsson, Luca Foschini:
Generative models for wearables data. CoRR abs/2307.16664 (2023) - 2022
- [j3]Arinbjörn Kolbeinsson, Naman Shukla, Akhil Gupta, Lavanya Marla, Kartik Yellepeddi:
Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing. INFORMS J. Appl. Anal. 52(3): 233-249 (2022) - [c4]Pu Yang, Arinbjörn Kolbeinsson, Naman Shukla, Javier A. Barria:
Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction. ICMLA 2022: 1167-1174 - 2021
- [j2]Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Adrian Bulat, Animashree Anandkumar, Ioanna Tzoulaki, Paul M. Matthews:
Tensor Dropout for Robust Learning. IEEE J. Sel. Top. Signal Process. 15(3): 630-640 (2021) - [c3]Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson:
PenDer: Incorporating Shape Constraints via Penalized Derivatives. AAAI 2021: 11536-11544 - [i7]Arinbjörn Kolbeinsson, Piyusha Gade, Raghu Kainkaryam, Filip Jankovic, Luca Foschini:
Self-supervision of wearable sensors time-series data for influenza detection. CoRR abs/2112.13755 (2021) - 2020
- [j1]Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar:
Tensor Regression Networks. J. Mach. Learn. Res. 21: 123:1-123:21 (2020) - [c2]Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert:
Patch-Based Brain Age Estimation from MR Images. MLCN/RNO-AI@MICCAI 2020: 98-107 - [i6]Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert:
Patch-based Brain Age Estimation from MR Images. CoRR abs/2008.12965 (2020) - [i5]Daniel Lengyel, Janith C. Petangoda, Isak Falk, Kate Highnam, Michalis Lazarou, Arinbjörn Kolbeinsson, Marc Peter Deisenroth, Nicholas R. Jennings:
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability. CoRR abs/2011.07407 (2020)
2010 – 2019
- 2019
- [c1]Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi:
Dynamic Pricing for Airline Ancillaries with Customer Context. KDD 2019: 2174-2182 - [i4]Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi:
Dynamic Pricing for Airline Ancillaries with Customer Context. CoRR abs/1902.02236 (2019) - [i3]Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews:
Stochastically Rank-Regularized Tensor Regression Networks. CoRR abs/1902.10758 (2019) - [i2]Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla, Kartik Yellepeddi:
Adaptive Model Selection Framework: An Application to Airline Pricing. CoRR abs/1905.08874 (2019) - [i1]Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo:
Biologically inspired architectures for sample-efficient deep reinforcement learning. CoRR abs/1911.11285 (2019)
Coauthor Index
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