Liam Paull

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Associate Academic Member
Liam Paull
Assistant Professor, Université de Montréal
Liam Paull
http://people.csail.mit.edu/lpaull
(438) 502-5667

I am an assistant Prof at U de Montréal.

Previously, I was a Research Scientist in the Distributed Robotics Lab at MIT led by Prof. Daniela Rus. I led the Toyota funded autonomous car project.

Previously, I was a postdoc associate at MIT CSAIL in the marine robotics group led by Prof John Leonard.

The topic of PhD is marine robotics. Specifically, developing adaptive and robust planning and localization strategies for single and multiple autonomous underwater vehicles performing mine countermeasure surveys.

My specific research interests include: autonomous driving, resource constrained inference and planning, cooperative localization, probabilistic path planning, coverage path planning, multi-robot systems, marine robotics, simultaneous localization and mapping.

Publications

2021-05

Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
Vincent Mai, Waleed Khamies and Liam Paull
(venue unknown)
(2021-05-04)
openreview.netPDF
gradSim: Differentiable simulation for system identification and visuomotor control
J. Krishna Murthy, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jérôme Parent-Lévesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai and Sanja Fidler
ICLR 2021
(2021-05-03)
dblp.uni-trier.dePDF

2021-04

gradSim: Differentiable simulation for system identification and visuomotor control.
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jerome Parent-Levesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai and Sanja Fidler
arXiv: Computer Vision and Pattern Recognition
(2021-04-06)
arxiv.orgPDF

2020-12

Look-ahead Meta Learning for Continual Learning
Gunshi Gupta, Karmesh Yadav and Liam Paull
NEURIPS 2020
(2020-12-16)
papers.nips.ccPDF

2020-10

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull and Andrea Censi
IROS 2020
(2020-10-24)
ttic.edu[Also on arXiv preprint arXiv:2009.04362 (2020-09-09)]

2020-07

Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio and Liam Paull
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1906.10335 (2019-06-25)][Also on DGS@ICLR (2019-01-01)]

2020-06

La-MAML: Look-ahead Meta Learning for Continual Learning
Gunshi Gupta, Karmesh Yadav and Liam Paull
arXiv preprint arXiv:2007.13904
(2020-06-12)
dblp.uni-trier.dePDF

2020-05

∇SLAM: Dense SLAM meets Automatic Differentiation
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
ICRA 2020
(2020-05-01)
doi.org

2020-04

MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Moses Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull and Daniela L Rus
Other repository
(2020-04-01)
dspace.mit.edu
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull and Daniela Rus
ICRA 2020
(2020-04-01)
ieeexplore.ieee.org

2020-03

Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao and Yoshua Bengio
NEURIPS 2020
(2020-03-12)
papers.nips.ccPDF[LATEST on arXiv: Learning (2020-03-12)]

2020-02

Curriculum in Gradient-Based Meta-Reinforcement Learning.
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal and Liam Paull
arXiv preprint arXiv:2002.07956
(2020-02-19)
ui.adsabs.harvard.eduPDF
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo and Liam Paull
arXiv: Learning
(2020-02-18)
ui.adsabs.harvard.eduPDF

2020-01

The AI Driving Olympics at NeurIPS 2018
Julian Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Philipp Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi and Liam Paull
NEURIPS 2020
(2020-01-01)
link.springer.com[Also on arXiv preprint arXiv:1903.02503 (2019-03-06)]

2019-10

Deep Active Localization
Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy and Liam Paull
ICRA 2019
(2019-10-30)
ieeexplore.ieee.org
gradSLAM: Automagically differentiable SLAM
Krishna Murthy Jatavallabhula, Soroush Saryazdi, Ganesh Iyer and Liam Paull
arXiv preprint arXiv:1910.10672
(2019-10-23)
ui.adsabs.harvard.eduPDF
gradSLAM: Dense SLAM meets Automatic Differentiation
Krishna Murthy Jatavallabhula, Ganesh Iyer and Liam Paull
(venue unknown)
(2019-10-23)
arxiv.org

2019-09

Kotlin∇: A shape-safe DSL for differentiable programming
Breandan Considine, Michalis Famelis and Liam Paull
(venue unknown)
(2019-09-17)
openreview.netPDF

2019-05

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio and Liam Paull
ICRA 2019
(2019-05-01)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1810.04871 (2018-10-11)]

2019-04

Active Domain Randomization
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal and Liam Paull
Conference on Robot Learning
(2019-04-09)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1904.04762 (2019-04-09)]

2019-03

Deep Active Localization
Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy and Liam Paull
arXiv preprint arXiv:1903.01669
(2019-03-05)
export.arxiv.orgPDF

2019-01

The AI Driving Olympics: An Accessible Robot Learning Benchmark
Andrea Censi, Liam Paull, Jacopo Tani and Matthew R. Walter
NEURIPS 2019
(2019-01-01)
ttic.edu

2018-09

Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman and Daniela Rus
IEEE Transactions on Intelligent Transportation Systems
(2018-09-01)
ieeexplore.ieee.orgPDF

2018-06

Local Positioning System Using UWB Range Measurements for an Unmanned Blimp
Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull and Roland Siegwart
ICRA 2018
(2018-06-21)
hdl.handle.net

2018-05

Learning Steering Bounds for Parallel Autonomous Systems
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman and Daniela Rus
ICRA 2018
(2018-05-21)
dspace.mit.edu
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps
Teddy Ort, Liam Paull and Daniela Rus
ICRA 2018
(2018-05-21)
doi.org

2018-04

Geometric Consistency for Self-Supervised End-to-End Visual Odometry
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna and Liam Paull
CVPR 2018
(2018-04-11)
ui.adsabs.harvard.eduPDF[Also on arXiv preprint arXiv:1804.03789 (2018-04-11)]

2018-01

Navigation for Underwater Vehicles
Liam Paull, Mae Seto, Sajad Saeedi and John J. Leonard
(venue unknown)
(2018-01-01)
link-springer-com-443.webvpn.jmu.edu.cn
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping
Liam Paull, Mae Seto, John J. Leonard and Howard Li
The International Journal of Robotics Research
(2018-01-01)
dl.acm.orgPDF

Publications collected and formatted using Paperoni

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