Liam Paull

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 88

Top Venues

Publications

Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
Ghost on the Shell: An Expressive Representation of General 3D Shapes. ICLR (2024)
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Mach. Learn. 113 (5) (2024)
Mostafa ElAraby, Ali Harakeh, Liam Paull
BACS: Background Aware Continual Semantic Segmentation. CoRR (2024)
Manfred Diaz, Liam Paull, Andrea Tacchetti
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience. CoRR (2024)
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Mach. Learn. 113 (8) (2024)
Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA (2024)
Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide, Liam Paull, Christopher Pal
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning. CoRR (2024)
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
MeshDiffusion: Score-based Generative 3D Mesh Modeling. ICLR (2023)
Mostafa ElAraby, Sabyasachi Sahoo, Yann Pequignot, Paul Novello, Liam Paull
GROOD: GRadient-aware Out-Of-Distribution detection in interpolated manifolds. CoRR (2023)
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
One-4-All: Neural Potential Fields for Embodied Navigation. CoRR (2023)
Ali Harakeh, Jordan Sir Kwang Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. AAAI (2023)
Zhen Liu, Yao Feng, Yuliang Xiu, Weiyang Liu, Liam Paull, Michael J. Black, Bernhard Schölkopf
Ghost on the Shell: An Expressive Representation of General 3D Shapes. CoRR (2023)
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR (2023)
Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CoRR (2023)
Anas Mahmoud, Jordan S. K. Hu, Tianshu Kuai, Ali Harakeh, Liam Paull, Steven L. Waslander
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss. CVPR (2023)
Sacha Morin, Miguel A. Saavedra-Ruiz, Liam Paull
One-4-All: Neural Potential Fields for Embodied Navigation. IROS (2023)
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR (2023)
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems (2023)
Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR (2023)
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. CoRR (2023)
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, Antoine Lesage-Landry
Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads. AAMAS (2023)
Zhen Liu, Yao Feng, Michael J. Black, Derek Nowrouzezahrai, Liam Paull, Weiyang Liu
MeshDiffusion: Score-based Generative 3D Mesh Modeling. CoRR (2023)
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. CoRR (2022)
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
Structural Causal 3D Reconstruction. CoRR (2022)
Rey Reza Wiyatno, Anqi Xu, Liam Paull
Lifelong Topological Visual Navigation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Miguel A. Saavedra-Ruiz, Sacha Morin, Liam Paull
Monocular Robot Navigation with Self-Supervised Pretrained Vision Transformers. CRV (2022)
Amir Rasouli, Randy Goebel, Matthew E. Taylor, Iuliia Kotseruba, Soheil Alizadeh, Tianpei Yang, Montgomery Alban, Florian Shkurti, Yuzheng Zhuang, Adam Scibior, Kasra Rezaee, Animesh Garg, David Meger, Jun Luo, Liam Paull, Weinan Zhang, Xinyu Wang, Xi Chen
NeurIPS 2022 Competition: Driving SMARTS. CoRR (2022)
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR (2022)
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs. CoRR (2022)
Vincent Mai, Kaustubh Mani, Liam Paull
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. ICLR (2022)
Vincent Mai, Kaustubh Mani, Liam Paull
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation. CoRR (2022)
Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf
Structural Causal 3D Reconstruction. ECCV (1) (2022)
Ali Harakeh, Jordan S. K. Hu, Naiqing Guan, Steven L. Waslander, Liam Paull
Estimating Regression Predictive Distributions with Sample Networks. CoRR (2022)
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull
f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. ICRA (2022)
Dhaivat Bhatt, Kaustubh Mani, Dishank Bansal, Krishna Murthy Jatavallabhula, Hanju Lee, Liam Paull
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. CoRR (2021)
Rey Reza Wiyatno, Anqi Xu, Liam Paull
Lifelong Topological Visual Navigation. CoRR (2021)
Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller
Orthogonal Over-Parameterized Training. CVPR (2021)
Krishna Murthy Jatavallabhula, 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, Sanja Fidler
gradSim: Differentiable simulation for system identification and visuomotor control. CoRR (2021)
Manfred Diaz, Thomas Fevens, Liam Paull
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. CRV (2021)
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Iterative Teaching by Label Synthesis. NeurIPS (2021)
Anthony Courchesne, Andrea Censi, Liam Paull
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. CoRR (2021)
Amir Rasouli, Soheil Alizadeh, Iuliia Kotseruba, Yi Ma, Hebin Liang, Yuan Tian, Zhiyu Huang, Haochen Liu, Jingda Wu, Randy Goebel, Tianpei Yang, Matthew E. Taylor, Liam Paull, Xi Chen
Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome. NeurIPS (Competition and Demos) (2021)
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, Sanja Fidler
gradSim: Differentiable simulation for system identification and visuomotor control. ICLR (2021)
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
Iterative Teaching by Label Synthesis. CoRR (2021)
Vincent Mai, Waleed Khamies, Liam Paull
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression. CoRR (2021)
Anthony Courchesne, Andrea Censi, Liam Paull
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents. IROS (2021)
Philippe Laferrière, Samuel Laferrière, Steven Dahdah, James Richard Forbes, Liam Paull
Deep Koopman Representation for Control over Images (DKRCI). CRV (2021)
Christopher Agia, Krishna Murthy Jatavallabhula, Mohamed Khodeir, Ondrej Miksik, Vibhav Vineet, Mustafa Mukadam, Liam Paull, Florian Shkurti
Taskography: Evaluating robot task planning over large 3D scene graphs. CoRL (2021)
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. CoRR (2020)
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, Andrea Censi
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. IROS (2020)
Bhairav Mehta, Tristan Deleu, Sharath Chandra Raparthy, Christopher J. Pal, Liam Paull
Curriculum in Gradient-Based Meta-Reinforcement Learning. CoRR (2020)
Teddy Ort, Krishna Murthy, Rohan Banerjee, Sai Krishna Gottipati, Dhaivat Bhatt, Igor Gilitschenski, Liam Paull, Daniela Rus
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. IEEE Robotics Autom. Lett. 5 (2) (2020)
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull
∇SLAM: Dense SLAM meets Automatic Differentiation. ICRA (2020)
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. NeurIPS (2020)
Sharath Chandra Raparthy, Bhairav Mehta, Florian Golemo, Liam Paull
Generating Automatic Curricula via Self-Supervised Active Domain Randomization. CoRR (2020)
Gunshi Gupta, Karmesh Yadav, Liam Paull
La-MAML: Look-ahead Meta Learning for Continual Learning. CoRR (2020)
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
Perceptual Generative Autoencoders. ICML (2020)
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, Andrea Censi
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. CoRR (2020)
Gunshi Gupta, Karmesh Yadav, Liam Paull
Look-ahead Meta Learning for Continual Learning. NeurIPS (2020)
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
Perceptual Generative Autoencoders. DGS@ICLR (2019)
Sai Krishna, Keehong Seo, Dhaivat Bhatt, Vincent Mai, J. Krishna Murthy, Liam Paull
Deep Active Localization. CoRR (2019)
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull
gradSLAM: Dense SLAM meets Automatic Differentiation. CoRR (2019)
Julian G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull
The AI Driving Olympics at NeurIPS 2018. CoRR (2019)
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. ICRA (2019)
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
Active Domain Randomization. CoRR (2019)
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
Perceptual Generative Autoencoders. CoRR (2019)
Sai Krishna Gottipati, Keehong Seo, Dhaivat Bhatt, Vincent Mai, Krishna Murthy, Liam Paull
Deep Active Localization. IEEE Robotics Autom. Lett. 4 (4) (2019)
Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull
Active Domain Randomization. CoRL (2019)
Teddy Ort, Liam Paull, Daniela Rus
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps. ICRA (2018)
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. IEEE Trans. Intell. Transp. Syst. 19 (9) (2018)
Alexander Amini, Liam Paull, Thomas Balch, Sertac Karaman, Daniela Rus
Learning Steering Bounds for Parallel Autonomous Systems. ICRA (2018)
Vincent Mai, Mina Kamel, Matthias Krebs, Andreas Schaffner, Daniel Meier, Liam Paull, Roland Siegwart
Local Positioning System Using UWB Range Measurements for an Unmanned Blimp. IEEE Robotics Autom. Lett. 3 (4) (2018)
Liam Paull, Mae L. Seto, John J. Leonard, Howard Li
Probabilistic cooperative mobile robot area coverage and its application to autonomous seabed mapping. Int. J. Robotics Res. 37 (1) (2018)
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CVPR Workshops (2018)
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. CoRR (2018)
Ganesh Iyer, J. Krishna Murthy, Gunshi Gupta, K. Madhava Krishna, Liam Paull
Geometric Consistency for Self-Supervised End-to-End Visual Odometry. CoRR (2018)
Felix Naser, David L. Dorhout, Stephen Proulx, Scott Drew Pendleton, Hans Andersen, Wilko Schwarting, Liam Paull, Javier Alonso-Mora, Marcelo H. Ang, Sertac Karaman, Russ Tedrake, John J. Leonard, Daniela Rus
A parallel autonomy research platform. Intelligent Vehicles Symposium (2017)
Beipeng Mu, Liam Paull, Ali-Akbar Agha-Mohammadi, John J. Leonard, Jonathan P. How
Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. IEEE Trans. Robotics 33 (1) (2017)
Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA (2017)
Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
SLAM with Objects using a Nonparametric Pose Graph. CoRR (2017)
Guy Rosman, Liam Paull, Daniela Rus
Hybrid control and learning with coresets for autonomous vehicles. IROS (2017)
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. ICRA (2017)
Jacopo Tani, Liam Paull, Maria T. Zuber, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi
Duckietown: An Innovative Way to Teach Autonomy. EDUROBOTICS (2016)
Behzad Bayat, Julita Bermejo-Alonso, Joel Luis Carbonera, Tullio Facchinetti, Sandro Rama Fiorini, Paulo Jorge Sequeira Gonçalves, Vitor A. M. Jorge, Maki K. Habib, Alaa M. Khamis, Kamilo Melo, Bao Nguyen, Joanna Isabelle Olszewska, Liam Paull, Edson Prestes, S. Veera Ragavan, Sajad Saeedi G., Ricardo Sanz, Mae L. Seto, Bruce Spencer, Amirkhosro Vosughi, Howard Li
Requirements for building an ontology for autonomous robots. Ind. Robot 43 (5) (2016)
Kevin Eckenhoff, Liam Paull, Guoquan Huang
Decoupled, consistent node removal and edge sparsification for graph-based SLAM. IROS (2016)
Beipeng Mu, Matthew Giamou, Liam Paull, Ali-akbar Agha-mohammadi, John J. Leonard, Jonathan P. How
Information-based Active SLAM via topological feature graphs. CDC (2016)
Beipeng Mu, Shih-Yuan Liu, Liam Paull, John J. Leonard, Jonathan P. How
SLAM with objects using a nonparametric pose graph. IROS (2016)
Liam Paull, Guoquan Huang, John J. Leonard
A unified resource-constrained framework for graph SLAM. ICRA (2016)
Beipeng Mu, Liam Paull, Ali-akbar Agha-mohammadi, John J. Leonard, Jonathan P. How
Information-based Active SLAM via Topological Feature Graphs. CoRR (2015)
Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth J. Teller, John J. Leonard
Bridging text spotting and SLAM with junction features. IROS (2015)
Beipeng Mu, Ali-akbar Agha-mohammadi, Liam Paull, Matthew C. Graham, Jonathan P. How, John J. Leonard
Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. Robotics: Science and Systems (2015)
Liam Paull, Guoquan Huang, Mae L. Seto, John J. Leonard
Communication-constrained multi-AUV cooperative SLAM. ICRA (2015)
Sajad Saeedi G., Liam Paull, Michael Trentini, Howard Li
Occupancy Grid Map Merging for Multiple robot simultaneous Localization and Mapping. Int. J. Robotics Autom. 30 (2) (2015)
Arthur Anderson, Erin M. Fischell, Thom Howe, Tom Miller, Arturo Parrales-Salinas, Nick Rypkema, David Barrett, Michael Benjamin, Alex Brennen, Michael DeFillipo, John J. Leonard, Liam Paull, Henrik R. Schmidt, Nick Wang, Alon Yaari
An Overview of MIT-Olin's Approach in the AUVSI RobotX Competition. FSR (2015)
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
Group Mapping: A Topological Approach to Map Merging for Multiple Robots. IEEE Robotics Autom. Mag. 21 (2) (2014)
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
Map merging for multiple robots using Hough peak matching. Robotics Auton. Syst. 62 (10) (2014)
Liam Paull, Mae L. Seto, John J. Leonard
Decentralized cooperative trajectory estimation for autonomous underwater vehicles. IROS (2014)
Liam Paull, Mae L. Seto, Howard Li
Area coverage planning that accounts for pose uncertainty with an AUV seabed surveying application. ICRA (2014)
Liam Paull, Carl Thibault, Amr Nagaty, Mae L. Seto, Howard Li
Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle. IEEE Trans. Cybern. 44 (9) (2014)
Sajad Saeedi G., Liam Paull, Michael Trentini, Mae L. Seto, Howard Li
Map merging using hough peak matching. IROS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liam Paull