Lars Lien Ankile

20212022202320247 9 8 4

Kjartan KrangeNorwegian University of Science and TechnologyVerified email at stud.ntnu.no
Siddharth SwaroopPostdoctoral Fellow, Harvard UniversityVerified email at seas.harvard.edu
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Weiwei PanMachine Learning Researcher, Harvard UniversityVerified email at g.harvard.edu
Sebastian WeisshaarMS Data Science Harvard UniversityVerified email at g.harvard.edu
Yuto YagiStudent at Bowdoin CollegeVerified email at college.harvard.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
Matheus V. X. FerreiraPostdoctoral Fellow in Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Eura NofshinHarvard UniversityVerified email at g.harvard.edu

Lars Lien Ankile

Student at Harvard University School of Engineering and works on robot learning at MIT CSAIL

Verified email at g.harvard.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications LL Ankile, MF Heggland, K Krange arXiv preprint arXiv:2011.12960, 2020	19	2020
Denoising diffusion probabilistic models as a defense against adversarial attacks LL Ankile, A Midgley, S Weisshaar arXiv preprint arXiv:2301.06871, 2023	3	2023
Discovering User Types: Mapping User Traits by Task-Specific Behaviors in Reinforcement Learning LL Ankile, BS Ham, K Mao, E Shin, S Swaroop, F Doshi-Velez, W Pan arXiv preprint arXiv:2307.08169, 2023	2	2023
Deep Learning and Linear Programming for Automated Ensemble Forecasting and Interpretation LL Ankile, K Krange arXiv preprint arXiv:2201.00426, 2022	2*	2022
I See You! Robust Measurement of Adversarial Behavior L Ankile, MXV Ferreira, D Parkes Multi-Agent Security Workshop@ NeurIPS'23, 2023	1	2023
Approximate Strategyproofness in Large, Two-Sided Matching Markets LL Ankile, K Krange, Y Yagi arXiv preprint arXiv:1912.04800, 2019	1	2019
JUICER: Data-Efficient Imitation Learning for Robotic Assembly L Ankile, A Simeonov, I Shenfeld, P Agrawal arXiv preprint arXiv:2404.03729, 2024		2024
Exploration of Forecasting Paradigms and a Generalized Forecasting Framework LL Ankile, K Krange NTNU, 2022		2022

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