Arinbjörn Kolbeinsson

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Shape Constraints

Tissue Segmentation

Mid Sagittal Plane

Top Venues

IEEE J. Sel. Top. Signal Process.

INFORMS J. Appl. Anal.

MLCN/RNO-AI@MICCAI

Publications

Arinbjörn Kolbeinsson, Luca Foschini
Generative models for wearables data. CoRR (2023)
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)
Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu
STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments. TML4H (2023)
Pu Yang, Arinbjörn Kolbeinsson, Naman Shukla, J. A. Barria
Deep Contrastive Anomaly Detection for Airline Ancillaries Prediction. ICMLA (2022)
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) (2022)
Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson
PenDer: Incorporating Shape Constraints via Penalized Derivatives. AAAI (2021)
Arinbjörn Kolbeinsson, Piyusha Gade, Raghu Kainkaryam, Filip Jankovic, Luca Foschini
Self-supervision of wearable sensors time-series data for influenza detection. CoRR (2021)
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) (2021)
Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar
Tensor Regression Networks. J. Mach. Learn. Res. 21 (2020)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
Patch-based Brain Age Estimation from MR Images. CoRR (2020)
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 (2020)
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert
Patch-Based Brain Age Estimation from MR Images. MLCN/RNO-AI@MICCAI (2020)
Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi
Dynamic Pricing for Airline Ancillaries with Customer Context. CoRR (2019)
Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo
Biologically inspired architectures for sample-efficient deep reinforcement learning. CoRR (2019)
Naman Shukla, Arinbjörn Kolbeinsson, Ken Otwell, Lavanya Marla, Kartik Yellepeddi
Dynamic Pricing for Airline Ancillaries with Customer Context. KDD (2019)
Arinbjörn Kolbeinsson, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Ioanna Tzoulaki, Paul M. Matthews
Stochastically Rank-Regularized Tensor Regression Networks. CoRR (2019)
Naman Shukla, Arinbjörn Kolbeinsson, Lavanya Marla, Kartik Yellepeddi
Adaptive Model Selection Framework: An Application to Airline Pricing. CoRR (2019)