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ORCIDRobin Walters 0001
Person information
- affiliation: Northeastern University, Khoury College of Computer Science, Boston, MA, USA
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2020 – today
- 2024
[j4]Haojie Huang
, Dian Wang, Arsh Tangri, Robin Walters, Robert Platt:
Leveraging symmetries in pick and place. Int. J. Robotics Res. 43(4): 550-571 (2024)- [j3]Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters:
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. 2024 (2024) - [c33]Haojie Huang, Owen Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters:
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D. ICLR 2024 - [c32]Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu:
Improving Convergence and Generalization Using Parameter Symmetries. ICLR 2024 - [c31]Rui Wang, Elyssa F. Hofgard, Hang Gao, Robin Walters, Tess E. Smidt:
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution. ICML 2024 - [c30]Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu:
Latent Space Symmetry Discovery. ICML 2024 - [i52]Haojie Huang, Owen Howell, Xupeng Zhu, Dian Wang, Robin Walters, Robert Platt:
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D. CoRR abs/2401.12046 (2024) - [i51]Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane:
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i50]Sneh Pandya, Yuanyuan Yang, Nicholas Van Alfen, Jonathan Blazek, Robin Walters:
Learning Galaxy Intrinsic Alignment Correlations. CoRR abs/2404.13702 (2024) - [i49]Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry-Informed Governing Equation Discovery. CoRR abs/2405.16756 (2024) - [i48]Derek Lim, Moe Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka:
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof. CoRR abs/2405.20231 (2024) - [i47]Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters:
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies. CoRR abs/2406.11740 (2024) - [i46]Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex:
Open-vocabulary Pick and Place via Patch-level Semantic Maps. CoRR abs/2406.15677 (2024) - [i45]Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt:
Equivariant Diffusion Policy. CoRR abs/2407.01812 (2024) - [i44]Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt:
OrbitGrasp: SE(3)-Equivariant Grasp Learning. CoRR abs/2407.03531 (2024) - [i43]Elyssa F. Hofgard, Rui Wang, Robin Walters, Tess E. Smidt:
Relaxed Equivariant Graph Neural Networks. CoRR abs/2407.20471 (2024) - 2023
- [j2]Xupeng Zhu, Dian Wang, Guanang Su, Ondrej Biza, Robin Walters, Robert Platt:
On robot grasp learning using equivariant models. Auton. Robots 47(8): 1175-1193 (2023) - [c29]Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRL 2023: 2519-2536 - [c28]Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. ICLR 2023 - [c27]David Klee, Ondrej Biza, Robert Platt, Robin Walters:
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. ICLR 2023 - [c26]Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy:
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow. ICLR 2023 - [c25]Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Integrating Symmetry into Differentiable Planning with Steerable Convolutions. ICLR 2023 - [c24]Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu:
Generative Adversarial Symmetry Discovery. ICML 2023: 39488-39508 - [c23]Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. ICRA 2023: 1845-1851 - [c22]Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt:
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. ICRA 2023: 3882-3888 - [c21]Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu:
Probabilistic Symmetry for Multi-Agent Dynamics. L4DC 2023: 1231-1244 - [c20]Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent:
Topological Obstructions and How to Avoid Them. NeurIPS 2023 - [c19]Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters:
A General Theory of Correct, Incorrect, and Extrinsic Equivariance. NeurIPS 2023 - [c18]Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters:
Equivariant Single View Pose Prediction Via Induced and Restriction Representations. NeurIPS 2023 - [c17]Jung Yeon Park, Lawson L. S. Wong, Robin Walters:
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. NeurIPS 2023 - [c16]Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [i42]Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu:
Generative Adversarial Symmetry Discovery. CoRR abs/2302.00236 (2023) - [i41]David M. Klee, Ondrej Biza, Robert Platt, Robin Walters:
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. CoRR abs/2302.13926 (2023) - [i40]Dian Wang, Xupeng Zhu, Jung Yeon Park, Robert Platt, Robin Walters:
A General Theory of Correct, Incorrect, and Extrinsic Equivariance. CoRR abs/2303.04745 (2023) - [i39]Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu:
Improving Convergence and Generalization Using Parameter Symmetries. CoRR abs/2305.13404 (2023) - [i38]Xupeng Zhu, Dian Wang, Guanang Su, Ondrej Biza, Robin Walters, Robert Platt:
On Robot Grasp Learning Using Equivariant Models. CoRR abs/2306.06489 (2023) - [i37]Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRR abs/2306.12392 (2023) - [i36]Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters:
Equivariant Single View Pose Prediction Via Induced and Restricted Representations. CoRR abs/2307.03704 (2023) - [i35]Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong:
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? CoRR abs/2307.08226 (2023) - [i34]Ayan Chatterjee, Robin Walters, Giulia Menichetti, Tina Eliassi-Rad:
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. CoRR abs/2307.08877 (2023) - [i33]Haojie Huang, Dian Wang, Arsh Tangri, Robin Walters, Robert Platt:
Leveraging Symmetries in Pick and Place. CoRR abs/2308.07948 (2023) - [i32]Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - [i31]Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu:
Latent Space Symmetry Discovery. CoRR abs/2310.00105 (2023) - [i30]Rui Wang, Robin Walters, Tess E. Smidt:
Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems. CoRR abs/2310.02299 (2023) - [i29]Jung Yeon Park, Lawson L. S. Wong, Robin Walters:
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. CoRR abs/2310.19589 (2023) - [i28]Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters:
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR abs/2311.14675 (2023) - [i27]Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent:
Topological Obstructions and How to Avoid Them. CoRR abs/2312.07529 (2023) - 2022
- [j1]Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent:
Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. 18(11): 1010591 (2022) - [c15]Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt:
On-Robot Learning With Equivariant Models. CoRL 2022: 1345-1354 - [c14]Dian Wang, Robin Walters, Robert Platt:
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning. ICLR 2022 - [c13]Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters:
Learning Symmetric Embeddings for Equivariant World Models. ICML 2022: 17372-17389 - [c12]Rui Wang, Robin Walters, Rose Yu:
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. ICML 2022: 23078-23091 - [c11]Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Toward Compositional Generalization in Object-Oriented World Modeling. ICML 2022: 26841-26864 - [c10]David Klee, Ondrej Biza, Robert Platt, Robin Walters:
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. NeurReps 2022: 64-80 - [c9]Rui Wang, Robin Walters, Rose Yu:
Meta-Learning Dynamics Forecasting Using Task Inference. NeurIPS 2022 - [c8]Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry Teleportation for Accelerated Optimization. NeurIPS 2022 - [c7]Haojie Huang, Dian Wang, Robin Walters, Robert Platt:
Equivariant Transporter Network. Robotics: Science and Systems 2022 - [c6]Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt:
Sample Efficient Grasp Learning Using Equivariant Models. Robotics: Science and Systems 2022 - [i26]Rui Wang, Robin Walters, Rose Yu:
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. CoRR abs/2201.11969 (2022) - [i25]Haojie Huang, Dian Wang, Robin Walters, Robert Platt:
Equivariant Transporter Network. CoRR abs/2202.09400 (2022) - [i24]Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt:
Sample Efficient Grasp Learning Using Equivariant Models. CoRR abs/2202.09468 (2022) - [i23]Dian Wang, Robin Walters, Robert Platt:
SO(2)-Equivariant Reinforcement Learning. CoRR abs/2203.04439 (2022) - [i22]Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt:
On-Robot Policy Learning with O(2)-Equivariant SAC. CoRR abs/2203.04923 (2022) - [i21]Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters:
Learning Symmetric Embeddings for Equivariant World Models. CoRR abs/2204.11371 (2022) - [i20]Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Toward Compositional Generalization in Object-Oriented World Modeling. CoRR abs/2204.13661 (2022) - [i19]Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu:
Probabilistic Symmetry for Improved Trajectory Forecasting. CoRR abs/2205.01927 (2022) - [i18]Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu:
Symmetry Teleportation for Accelerated Optimization. CoRR abs/2205.10637 (2022) - [i17]Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong:
Integrating Symmetry into Differentiable Planning. CoRR abs/2206.03674 (2022) - [i16]Rui Wang, Robin Walters, Rose Yu:
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting. CoRR abs/2206.09450 (2022) - [i15]David Klee, Ondrej Biza, Robert Platt, Robin Walters:
I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. CoRR abs/2207.08925 (2022) - [i14]Iordan Ganev, Robin Walters:
Quiver neural networks. CoRR abs/2207.12773 (2022) - [i13]Sidharth Malhotra, Robin Walters:
Secondary Protein Structure Prediction Using Neural Networks. CoRR abs/2208.11248 (2022) - [i12]Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy:
Symmetries, flat minima, and the conserved quantities of gradient flow. CoRR abs/2210.17216 (2022) - [i11]Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt:
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. CoRR abs/2211.00191 (2022) - [i10]Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. CoRR abs/2211.00194 (2022) - [i9]Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. CoRR abs/2211.09231 (2022) - 2021
- [c5]Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt Jr.:
Equivariant Q Learning in Spatial Action Spaces. CoRL 2021: 1713-1723 - [c4]Robin Walters, Jinxi Li, Rose Yu:
Trajectory Prediction using Equivariant Continuous Convolution. ICLR 2021 - [c3]Rui Wang, Robin Walters, Rose Yu:
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. ICLR 2021 - [c2]Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu:
Traffic Forecasting using Vehicle-to-Vehicle Communication. L4DC 2021: 917-929 - [c1]Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu:
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. NeurIPS 2021: 2503-2515 - [i8]Rui Wang, Robin Walters, Rose Yu:
Meta-Learning Dynamics Forecasting Using Task Inference. CoRR abs/2102.10271 (2021) - [i7]Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu:
Traffic Forecasting using Vehicle-to-Vehicle Communication. CoRR abs/2104.05528 (2021) - [i6]Iordan Ganev, Robin Walters:
The QR decomposition for radial neural networks. CoRR abs/2107.02550 (2021) - [i5]Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu:
Automatic Symmetry Discovery with Lie Algebra Convolutional Network. CoRR abs/2109.07103 (2021) - [i4]Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt Jr.:
Equivariant Q Learning in Spatial Action Spaces. CoRR abs/2110.15443 (2021) - [i3]Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti:
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. CoRR abs/2112.13168 (2021) - 2020
- [i2]Rui Wang, Robin Walters, Rose Yu:
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. CoRR abs/2002.03061 (2020) - [i1]Robin Walters, Jinxi Li, Rose Yu:
Trajectory Prediction using Equivariant Continuous Convolution. CoRR abs/2010.11344 (2020)
Coauthor Index
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