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2020 – today
- 2024
[i11]Sophie Ostmeier, Brian Axelrod, Michael E. Moseley, Akshay Chaudhari, Curtis P. Langlotz:
LieRE: Generalizing Rotary Position Encodings. CoRR abs/2406.10322 (2024)- 2023
- [j3]Sophie Ostmeier
, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit:
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. 90: 102927 (2023) - [i10]Sophie Ostmeier, Brian Axelrod, Benjamin Pulli, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Yongkai Liu, Christian Federau, Greg Zaharchuk, Jeremy J. Heit:
Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT. CoRR abs/2309.03930 (2023) - 2022
- [b1]Brian Axelrod:
Sidestepping hardness in statistical problems. Stanford University, USA, 2022 - [c8]Brian Axelrod, Luke Shimanuki:
Efficient Motion Planning Under Obstacle Uncertainty with Local Dependencies. WAFR 2022: 68-84 - [i9]Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant:
On the Statistical Complexity of Sample Amplification. CoRR abs/2201.04315 (2022) - [i8]Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit:
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. CoRR abs/2209.13008 (2022) - [i7]Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg:
Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. CoRR abs/2211.15341 (2022) - 2021
- [j2]Luke Shimanuki, Brian Axelrod:
Hardness of Motion Planning with Obstacle Uncertainty in Two Dimensions. Int. J. Robotics Res. 40(10-11) (2021) - 2020
- [c7]Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant:
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. ICML 2020: 442-451 - [c6]Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod:
Causal Strategic Linear Regression. ICML 2020: 8676-8686 - [c5]Brian Axelrod, Yang P. Liu, Aaron Sidford:
Near-optimal Approximate Discrete and Continuous Submodular Function Minimization. SODA 2020: 837-853 - [i6]Yonadav Shavit, Benjamin L. Edelman, Brian Axelrod:
Learning From Strategic Agents: Accuracy, Improvement, and Causality. CoRR abs/2002.10066 (2020)
2010 – 2019
- 2019
- [c4]Brian Axelrod, Ilias Diakonikolas, Alistair Stewart, Anastasios Sidiropoulos, Gregory Valiant:
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. NeurIPS 2019: 7721-7733 - [i5]Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant:
Sample Amplification: Increasing Dataset Size even when Learning is Impossible. CoRR abs/1904.12053 (2019) - [i4]Brian Axelrod, Ilias Diakonikolas, Anastasios Sidiropoulos, Alistair Stewart, Gregory Valiant:
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families. CoRR abs/1907.08306 (2019) - [i3]Brian Axelrod, Yang P. Liu, Aaron Sidford:
Near-optimal Approximate Discrete and Continuous Submodular Function Minimization. CoRR abs/1909.00171 (2019) - 2018
- [j1]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably safe robot navigation with obstacle uncertainty. Int. J. Robotics Res. 37(13-14) (2018) - [c3]Luke Shimanuki, Brian Axelrod:
Hardness of 3D Motion Planning Under Obstacle Uncertainty. WAFR 2018: 852-867 - [i2]Brian Axelrod, Gregory Valiant:
An Efficient Algorithm for High-Dimensional Log-Concave Maximum Likelihood. CoRR abs/1811.03204 (2018) - 2017
- [c2]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably Safe Robot Navigation with Obstacle Uncertainty. Robotics: Science and Systems 2017 - [i1]Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Provably Safe Robot Navigation with Obstacle Uncertainty. CoRR abs/1705.10907 (2017) - 2015
- [c1]Brian Axelrod, Michel Laverne:
Reducing FPGA algorithm area by avoiding redundant computation. ICRA 2015: 503-508
Coauthor Index
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last updated on 2024-11-11 22:23 CET by the dblp team
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