Follow
Lars Lien Ankile
Lars Lien Ankile
Research at MIT CSAIL
Verified email at mit.edu - Homepage
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
252020
Diffusion policy policy optimization
AZ Ren, J Lidard, LL Ankile, A Simeonov, P Agrawal, A Majumdar, ...
arXiv preprint arXiv:2409.00588, 2024
132024
Denoising diffusion probabilistic models as a defense against adversarial attacks
LL Ankile, A Midgley, S Weisshaar
arXiv preprint arXiv:2301.06871, 2023
72023
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
L Ankile, A Simeonov, I Shenfeld, P Agrawal
arXiv preprint arXiv:2404.03729, 2024
52024
From Imitation to Refinement--Residual RL for Precise Assembly
L Ankile, A Simeonov, I Shenfeld, M Torne, P Agrawal
arXiv preprint arXiv:2407.16677, 2024
4*2024
I See You! Robust Measurement of Adversarial Behavior
L Ankile, MXV Ferreira, D Parkes
Multi-Agent Security Workshop@ NeurIPS'23, 2023
32023
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
32023
Deep Learning and Linear Programming for Automated Ensemble Forecasting and Interpretation
LL Ankile, K Krange
arXiv preprint arXiv:2201.00426, 2022
2*2022
DexHub and DART: Towards Internet Scale Robot Data Collection
Y Park, JS Bhatia, L Ankile, P Agrawal
arXiv preprint arXiv:2411.02214, 2024
12024
Scaling Robot-Learning by Crowdsourcing Simulation Environments
MT Villasevil, A Jain, V Macha, J Yuan, LL Ankile, A Simeonov, P Agrawal, ...
RSS 2024 Workshop: Data Generation for Robotics, 2024
12024
Approximate Strategyproofness in Large, Two-Sided Matching Markets
LL Ankile, K Krange, Y Yagi
arXiv preprint arXiv:1912.04800, 2019
12019
Robot Learning with Super-Linear Scaling
M Torne, A Jain, J Yuan, V Macha, L Ankile, A Simeonov, P Agrawal, ...
arXiv preprint arXiv:2412.01770, 2024
2024
AMBER: An Entropy Maximizing Environment Design Algorithm for Inverse Reinforcement Learning
P Nitschke, LL Ankile, E Nofshin, S Swaroop, F Doshi-Velez, W Pan
ICML 2024 Workshop on Models of Human Feedback for AI Alignment, 2024
2024
Exploration of Forecasting Paradigms and a Generalized Forecasting Framework
LL Ankile, K Krange
NTNU, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–14