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Breandan Considine
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gradsim: Differentiable simulation for system identification and visuomotor control
KM Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, ...
arXiv preprint arXiv:2104.02646, 2021
107*2021
Multi-objective training of generative adversarial networks with multiple discriminators
I Albuquerque, J Monteiro, T Doan, B Considine, T Falk, I Mitliagkas
International Conference on Machine Learning, 202-211, 2019
782019
The AI Driving Olympics at NeurIPS 2018
J Zilly, J Tani, B Considine, B Mehta, AF Daniele, M Diaz, G Bernasconi, ...
The NeurIPS'18 Competition, 37-68, 2020
192020
Automatic Generation of Digital Advertisements
NM Cohen, IJC Clarke, B Considine
US Patent App. 13/780,501, 2014
52014
Kotlin∇: A shape-safe DSL for differentiable programming
B Considine, M Famelis, L Paull
32019
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting
V Sai Krishna G, K Goyette, A Chamseddine, B Considine
arXiv preprint arXiv:1806.00683, 2018
2*2018
Idiolect: A Reconfigurable Voice Coding Assistant
B Considine, N Albion, X Si
2023 IEEE/ACM 5th International Workshop on Bots in Software Engineering …, 2023
12023
Programming Tools for Intelligent Systems
B Considine
Université de Montréal, 2020
12020
A Pragmatic Approach to Syntax Repair
B Considine
Companion Proceedings of the 2023 ACM SIGPLAN International Conference on …, 2023
2023
https://gradsim. github. io
KM Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, M Weiss, ...
arXiv preprint arXiv:2104.02646, 2021
2021
gradSim: Differentiable simulation for system identification and visuomotor control
K Murthy Jatavallabhula, M Macklin, F Golemo, V Voleti, L Petrini, ...
arXiv e-prints, arXiv: 2104.02646, 2021
2021
Kotlin∇: Differentiable functional programming with algebraic data types
B Considine
POPL Workshop: Languages for Inference, 2019
2019
Duckietown: Software Infrastructure for Autonomous Robotics
B Considine, R Hristov, L Paull
IROS 2018 Workshop: Automating Robot Experiments, 2018
2018
ICLR 2018 REPRODUCIBILITY CHALLENGE: TRAINING AND INFERENCE WITH INTEGERS IN DEEP NEURAL NETWORKS
MHA Hemmat, I Sultan, B Considine
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