Robin Walters - RankMe

141 papers A* 32A 1Misc 7Journal 92Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights. CoRR Saumya Gupta, Scott Biggs, Moritz Laber, Zohair Shafi, Robin Walters, Ayan Paul
2026	J	`jnl`	Denoising Hamiltonian Network for Physical Reasoning. Trans. Mach. Learn. Res. Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas J. Guibas, Kaiming He
2026	J	`jnl`	Discovering Symbolic Differential Equations with Symmetry Invariants. Trans. Mach. Learn. Res. Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu
2026	J	`jnl`	On Uncertainty Calibration for Equivariant Functions. Trans. Mach. Learn. Res. Edward Berman, Jacob Ginesin, Marco Pacini, Robin Walters
2026	J	`jnl`	Smoothness Errors in Dynamics Models and How to Avoid Them. CoRR Edward Berman, Luisa Li, Jung Yeon Park, Robin Walters
2026	J	`jnl`	Symmetry in Neural Network Parameter Spaces. Trans. Mach. Learn. Res. Bo Zhao, Robin Walters, Rose Yu
2026	J	`jnl`	You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector. CoRR Omkar Patil, Ondrej Biza, Thomas Weng, Karl Schmeckpeper, Wil Thomason, Xiaohan Zhang, Robin Walters, Nakul Gopalan, Sebastian Castro, Eric Rosen
2025	J	`jnl`	3D Equivariant Visuomotor Policy Learning via Spherical Projection. CoRR Boce Hu, Dian Wang, David Klee, Heng Tian, Xupeng Zhu, Haojie Huang, Robert Platt, Robin Walters
2025	J	`jnl`	A Practical Guide for Incorporating Symmetry in Diffusion Policy. CoRR Dian Wang, Boce Hu, Shuran Song, Robin Walters, Robert Platt
2025	A	`conf`	Approximate Equivariance in Reinforcement Learning. AISTATS Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2025	A*	`conf`	AtlasD: Automatic Local Symmetry Discovery. ICML Manu Bhat, JongHyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2025	J	`jnl`	AtlasD: Automatic Local Symmetry Discovery. CoRR Manu Bhat, JongHyun Park, Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2025	J	`jnl`	Clebsch-Gordan Transformer: Fast and Global Equivariant Attention. CoRR Owen Howell, Linfeng Zhao, Xupeng Zhu, Yaoyao Qian, Haojie Huang, Lingfeng Sun, Wil Thomason, Robert Platt, Robin Walters
2025	J	`jnl`	Coarse-to-Fine 3D Keyframe Transporter. CoRR Xupeng Zhu, David Klee, Dian Wang, Boce Hu, Haojie Huang, Arsh Tangri, Robin Walters, Robert Platt
2025	J	`jnl`	Denoising Hamiltonian Network for Physical Reasoning. CoRR Congyue Deng, Brandon Y. Feng, Cecilia Garraffo, Alan Garbarz, Robin Walters, William T. Freeman, Leonidas J. Guibas, Kaiming He
2025	J	`jnl`	Discovering Lie Groups with Flow Matching. CoRR Jung Yeon Park, Yuxuan Chen, Floor Eijkelboom, Jan-Willem van de Meent, Lawson L. S. Wong, Robin Walters
2025	J	`jnl`	Discovering Symbolic Differential Equations with Symmetry Invariants. CoRR Jianke Yang, Manu Bhat, Bryan Hu, Yadi Cao, Nima Dehmamy, Robin Walters, Rose Yu
2025	J	`jnl`	EquAct: An SE(3)-Equivariant Multi-Task Transformer for Open-Loop Robotic Manipulation. CoRR Xupeng Zhu, Yu Qi, Yizhe Zhu, Robin Walters, Robert Platt
2025	J	`jnl`	FIRE-GNN: Force-informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties. CoRR Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler
2025	J	`jnl`	Generalizable Hierarchical Skill Learning via Object-Centric Representation. CoRR Haibo Zhao, Yu Qi, Boce Hu, Yizhe Zhu, Ziyan Chen, Heng Tian, Xupeng Zhu, Owen Howell, Haojie Huang, Robin Walters, Dian Wang, Robert Platt
2025	A*	`conf`	Hierarchical Equivariant Policy via Frame Transfer. ICML Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Lewis Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt
2025	J	`jnl`	Hierarchical Equivariant Policy via Frame Transfer. CoRR Haibo Zhao, Dian Wang, Yizhe Zhu, Xupeng Zhu, Owen Howell, Linfeng Zhao, Yaoyao Qian, Robin Walters, Robert Platt
2025	J	`jnl`	IAEmu: Learning Galaxy Intrinsic Alignment Correlations. CoRR Sneh Pandya, Yuanyuan Yang, Nicholas Van Alfen, Jonathan Blazek, Robin Walters
2025	J	`jnl`	Learning Efficient and Robust Language-Conditioned Manipulation Using Textual-Visual Relevancy and Equivariant Language Mapping. IEEE Robotics Autom. Lett. Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex
2025	A*	`conf`	Match Policy: A Simple Pipeline from Point Cloud Registration to Manipulation Policies. ICRA Haojie Huang, Haotian Liu, Dian Wang, Robin Walters, Robert Platt
2025	J	`jnl`	MatrixNet: Learning over symmetry groups using learned group representations. CoRR Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters
2025	J	`jnl`	On Uncertainty Calibration for Equivariant Functions. CoRR Edward Berman, Jacob Ginesin, Marco Pacini, Robin Walters
2025	J	`jnl`	On Universality of Deep Equivariant Networks. CoRR Marco Pacini, Mircea Petrache, Bruno Lepri, Shubhendu Trivedi, Robin Walters
2025	J	`jnl`	Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization. CoRR Boce Hu, Heng Tian, Dian Wang, Haojie Huang, Xupeng Zhu, Robin Walters, Robert Platt
2025	J	`jnl`	Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization. IEEE Robotics Autom. Lett. Boce Hu, Heng Tian, Dian Wang, Haojie Huang, Xupeng Zhu, Robin Walters, Robert Platt
2025	J	`jnl`	Radar2Shape: 3D Shape Reconstruction from High-Frequency Radar using Multiresolution Signed Distance Functions. CoRR Neel Sortur, Justin Goodwin, Purvik Patel, Luis Enrique Martinez Jr, Tzofi Klinghoffer, Rajmonda Sulo Caceres, Robin Walters
2025	Misc	`conf`	Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining. ICASSP Nathan Vaska, Justin Goodwin, Robin Walters, Rajmonda Sulo Caceres
2025	J	`jnl`	Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining. CoRR Nathan Vaska, Justin Goodwin, Robin Walters, Rajmonda Sulo Caceres
2025	A*	`conf`	SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space. ICML Xupeng Zhu, Fan Wang, Robin Walters, Jane Shi
2025	J	`jnl`	SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space. CoRR Xupeng Zhu, Fan Wang, Robin Walters, Jane Shi
2025	J	`jnl`	Symmetry in Neural Network Parameter Spaces. CoRR Bo Zhao, Robin Walters, Rose Yu
2025	J	`jnl`	To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking. CoRR Hannah Lawrence, Elyssa F. Hofgard, Vasco Portilheiro, Yuxuan Chen, Tess E. Smidt, Robin Walters
2025	A*	`conf`	Understanding Mode Connectivity via Parameter Space Symmetry. ICML Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2025	J	`jnl`	Understanding Mode Connectivity via Parameter Space Symmetry. CoRR Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2024	J	`jnl`	Approximate Equivariance in Reinforcement Learning. CoRR Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2024	A*	`conf`	Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution. ICML Rui Wang, Elyssa F. Hofgard, Hang Gao, Robin Walters, Tess E. Smidt
2024	J	`jnl`	Equivariant Action Sampling for Reinforcement Learning and Planning. CoRR Linfeng Zhao, Owen Howell, Xupeng Zhu, Jung Yeon Park, Zhewen Zhang, Robin Walters, Lawson L. S. Wong
2024	Misc	`conf`	Equivariant Diffusion Policy. CoRL Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt
2024	J	`jnl`	Equivariant Diffusion Policy. CoRR Dian Wang, Stephen Hart, David Surovik, Tarik Kelestemur, Haojie Huang, Haibo Zhao, Mark Yeatman, Jiuguang Wang, Robin Walters, Robert Platt
2024	J	`jnl`	Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2024	A*	`conf`	Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D. ICLR Haojie Huang, Owen Howell, Dian Wang, Xupeng Zhu, Robert Platt, Robin Walters
2024	J	`jnl`	Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D. CoRR Haojie Huang, Owen Howell, Xupeng Zhu, Dian Wang, Robin Walters, Robert Platt
2024	Misc	`conf`	IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies. CoRL Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
2024	J	`jnl`	Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies. CoRR Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters
2024	A*	`conf`	Improving Convergence and Generalization Using Parameter Symmetries. ICLR Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
2024	A*	`conf`	Latent Space Symmetry Discovery. ICML Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2024	J	`jnl`	Learning Galaxy Intrinsic Alignment Correlations. CoRR Sneh Pandya, Yuanyuan Yang, Nicholas Van Alfen, Jonathan Blazek, Robin Walters
2024	J	`jnl`	Leveraging symmetries in pick and place. Int. J. Robotics Res. Haojie Huang, Dian Wang, Arsh Tangri, Robin Walters, Robert Platt
2024	J	`jnl`	MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies. CoRR Haojie Huang, Haotian Liu, Dian Wang, Robin Walters, Robert Platt
2024	A*	`conf`	MatrixNet: Learning over symmetry groups using learned group representations. NeurIPS Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters
2024	J	`jnl`	Open-vocabulary Pick and Place via Patch-level Semantic Maps. CoRR Mingxi Jia, Haojie Huang, Zhewen Zhang, Chenghao Wang, Linfeng Zhao, Dian Wang, Jason Xinyu Liu, Robin Walters, Robert Platt, Stefanie Tellex
2024	Misc	`conf`	OrbitGrasp: SE(3)-Equivariant Grasp Learning. CoRL Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt
2024	J	`jnl`	OrbitGrasp: SE(3)-Equivariant Grasp Learning. CoRR Boce Hu, Xupeng Zhu, Dian Wang, Zihao Dong, Haojie Huang, Chenghao Wang, Robin Walters, Robert Platt
2024	—	`conf`	Preface to Geometry-grounded Representation Learning and Generative Modeling (GRaM) Workshop. GRaM Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka
2024	—	`ed.`	Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 29 July 2024, Vienna, Austria GRaM Sharvaree Vadgama, Erik J. Bekkers, Alison Pouplin, Sékou-Oumar Kaba, Robin Walters, Hannah Lawrence, Tegan Emerson, Henry Kvinge, Jakub M. Tomczak, Stefanie Jegelka
2024	J	`jnl`	Relaxed Equivariant Graph Neural Networks. CoRR Elyssa F. Hofgard, Rui Wang, Robin Walters, Tess E. Smidt
2024	A*	`conf`	Symmetry-Informed Governing Equation Discovery. NeurIPS Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
2024	J	`jnl`	Symmetry-Informed Governing Equation Discovery. CoRR Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
2024	A*	`conf`	The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof. NeurIPS Derek Lim, Theo Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka
2024	J	`jnl`	The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof. CoRR Derek Lim, Moe Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR 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
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. 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
2023	A*	`conf`	A General Theory of Correct, Incorrect, and Extrinsic Equivariance. NeurIPS Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters
2023	J	`jnl`	A General Theory of Correct, Incorrect, and Extrinsic Equivariance. CoRR Dian Wang, Xupeng Zhu, Jung Yeon Park, Robert Platt, Robin Walters
2023	J	`jnl`	Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? CoRR Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong
2023	J	`jnl`	Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction. CoRR Ayan Chatterjee, Robin Walters, Giulia Menichetti, Tina Eliassi-Rad
2023	A*	`conf`	Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. ICRA Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt
2023	J	`jnl`	Equivariant Single View Pose Prediction Via Induced and Restricted Representations. CoRR Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters
2023	A*	`conf`	Equivariant Single View Pose Prediction Via Induced and Restriction Representations. NeurIPS Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters
2023	J	`jnl`	Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
2023	A*	`conf`	Generative Adversarial Symmetry Discovery. ICML Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
2023	J	`jnl`	Generative Adversarial Symmetry Discovery. CoRR Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR 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.
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 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
2023	A*	`conf`	Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. ICLR David Klee, Ondrej Biza, Robert Platt, Robin Walters
2023	J	`jnl`	Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. CoRR David M. Klee, Ondrej Biza, Robert Platt, Robin Walters
2023	J	`jnl`	Improving Convergence and Generalization Using Parameter Symmetries. CoRR Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
2023	A*	`conf`	Integrating Symmetry into Differentiable Planning with Steerable Convolutions. ICLR Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2023	J	`jnl`	Latent Space Symmetry Discovery. CoRR Jianke Yang, Nima Dehmamy, Robin Walters, Rose Yu
2023	J	`jnl`	Leveraging Symmetries in Pick and Place. CoRR Haojie Huang, Dian Wang, Arsh Tangri, Robin Walters, Robert Platt
2023	A*	`conf`	Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. NeurIPS Jung Yeon Park, Lawson L. S. Wong, Robin Walters
2023	J	`jnl`	Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. CoRR Jung Yeon Park, Lawson L. S. Wong, Robin Walters
2023	J	`jnl`	On Robot Grasp Learning Using Equivariant Models. CoRR Xupeng Zhu, Dian Wang, Guanang Su, Ondrej Biza, Robin Walters, Robert Platt
2023	J	`jnl`	On robot grasp learning using equivariant models. Auton. Robots Xupeng Zhu, Dian Wang, Guanang Su, Ondrej Biza, Robin Walters, Robert Platt
2023	Misc	`conf`	One-shot Imitation Learning via Interaction Warping. CoRL 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
2023	J	`jnl`	One-shot Imitation Learning via Interaction Warping. CoRR 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
2023	—	`conf`	Probabilistic Symmetry for Multi-Agent Dynamics. L4DC Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu
2023	J	`jnl`	Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems. CoRR Rui Wang, Robin Walters, Tess E. Smidt
2023	A*	`conf`	SEIL: Simulation-augmented Equivariant Imitation Learning. ICRA Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
2023	—	`conf`	Symmetric models for radar response modeling. NeurReps Colin Kohler, Nathan Vaska, Ramya Muthukrishnan, Whangbong Choi, Jung Yeon Park, Justin Goodwin, Rajmonda Caceres, Robin Walters
2023	A*	`conf`	Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow. ICLR Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2023	A*	`conf`	The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. ICLR Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt
2023	A*	`conf`	Topological Obstructions and How to Avoid Them. NeurIPS Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
2023	J	`jnl`	Topological Obstructions and How to Avoid Them. CoRR Babak Esmaeili, Robin Walters, Heiko Zimmermann, Jan-Willem van de Meent
2022	A*	`conf`	$\mathrm{SO}(2)$-Equivariant Reinforcement Learning. ICLR Dian Wang, Robin Walters, Robert Platt
2022	A*	`conf`	Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. ICML Rui Wang, Robin Walters, Rose Yu
2022	J	`jnl`	Approximately Equivariant Networks for Imperfectly Symmetric Dynamics. CoRR Rui Wang, Robin Walters, Rose Yu
2022	J	`jnl`	Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting. CoRR Rui Wang, Robin Walters, Rose Yu
2022	J	`jnl`	Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection. CoRR Haojie Huang, Dian Wang, Xupeng Zhu, Robin Walters, Robert Platt
2022	—	`conf`	Equivariant Transporter Network. Robotics: Science and Systems Haojie Huang, Dian Wang, Robin Walters, Robert Platt
2022	J	`jnl`	Equivariant Transporter Network. CoRR Haojie Huang, Dian Wang, Robin Walters, Robert Platt
2022	J	`jnl`	I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. CoRR David Klee, Ondrej Biza, Robert Platt, Robin Walters
2022	—	`conf`	Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. NeurReps David Klee, Ondrej Biza, Robert Platt, Robin Walters
2022	J	`jnl`	Integrating Symmetry into Differentiable Planning. CoRR Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2022	A*	`conf`	Learning Symmetric Embeddings for Equivariant World Models. ICML Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters
2022	J	`jnl`	Learning Symmetric Embeddings for Equivariant World Models. CoRR Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters
2022	A*	`conf`	Meta-Learning Dynamics Forecasting Using Task Inference. NeurIPS Rui Wang, Robin Walters, Rose Yu
2022	Misc	`conf`	On-Robot Learning With Equivariant Models. CoRL Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt
2022	J	`jnl`	On-Robot Policy Learning with O(2)-Equivariant SAC. CoRR Dian Wang, Mingxi Jia, Xupeng Zhu, Robin Walters, Robert Platt
2022	J	`jnl`	Probabilistic Symmetry for Improved Trajectory Forecasting. CoRR Sophia Huiwen Sun, Robin Walters, Jinxi Li, Rose Yu
2022	J	`jnl`	Probabilistic program inference in network-based epidemiological simulations. PLoS Comput. Biol. Niklas Smedemark-Margulies, Robin Walters, Heiko Zimmermann, Lucas Laird, Christian van der Loo, Neela Kaushik, Rajmonda Caceres, Jan-Willem van de Meent
2022	J	`jnl`	Quiver neural networks. CoRR Iordan Ganev, Robin Walters
2022	J	`jnl`	SEIL: Simulation-augmented Equivariant Imitation Learning. CoRR Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
2022	J	`jnl`	SO(2)-Equivariant Reinforcement Learning. CoRR Dian Wang, Robin Walters, Robert Platt
2022	—	`conf`	Sample Efficient Grasp Learning Using Equivariant Models. Robotics: Science and Systems Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt
2022	J	`jnl`	Sample Efficient Grasp Learning Using Equivariant Models. CoRR Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt
2022	J	`jnl`	Secondary Protein Structure Prediction Using Neural Networks. CoRR Sidharth Malhotra, Robin Walters
2022	J	`jnl`	Symmetries, flat minima, and the conserved quantities of gradient flow. CoRR Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2022	A*	`conf`	Symmetry Teleportation for Accelerated Optimization. NeurIPS Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2022	J	`jnl`	Symmetry Teleportation for Accelerated Optimization. CoRR Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2022	J	`jnl`	The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. CoRR Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt
2022	A*	`conf`	Toward Compositional Generalization in Object-Oriented World Modeling. ICML Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2022	J	`jnl`	Toward Compositional Generalization in Object-Oriented World Modeling. CoRR Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2021	J	`jnl`	AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands. CoRR Ayan Chatterjee, Omair Shafi Ahmed, Robin Walters, Zohair Shafi, Deisy Morselli Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti
2021	A*	`conf`	Automatic Symmetry Discovery with Lie Algebra Convolutional Network. NeurIPS Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
2021	J	`jnl`	Automatic Symmetry Discovery with Lie Algebra Convolutional Network. CoRR Nima Dehmamy, Robin Walters, Yanchen Liu, Dashun Wang, Rose Yu
2021	Misc	`conf`	Equivariant Q Learning in Spatial Action Spaces. CoRL Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt Jr.
2021	J	`jnl`	Equivariant Q Learning in Spatial Action Spaces. CoRR Dian Wang, Robin Walters, Xupeng Zhu, Robert Platt Jr.
2021	A*	`conf`	Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. ICLR Rui Wang, Robin Walters, Rose Yu
2021	J	`jnl`	Meta-Learning Dynamics Forecasting Using Task Inference. CoRR Rui Wang, Robin Walters, Rose Yu
2021	J	`jnl`	The QR decomposition for radial neural networks. CoRR Iordan Ganev, Robin Walters
2021	—	`conf`	Traffic Forecasting using Vehicle-to-Vehicle Communication. L4DC Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu
2021	J	`jnl`	Traffic Forecasting using Vehicle-to-Vehicle Communication. CoRR Steven Wong, Lejun Jiang, Robin Walters, Tamás G. Molnár, Gábor Orosz, Rose Yu
2021	A*	`conf`	Trajectory Prediction using Equivariant Continuous Convolution. ICLR Robin Walters, Jinxi Li, Rose Yu
2020	J	`jnl`	Incorporating Symmetry into Deep Dynamics Models for Improved Generalization. CoRR Rui Wang, Robin Walters, Rose Yu
2020	J	`jnl`	Trajectory Prediction using Equivariant Continuous Convolution. CoRR Robin Walters, Jinxi Li, Rose Yu