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08/15/2023
Leveraging Symmetries in Pick and Place
Robotic pick and place tasks are symmetric under translations and rotati...
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07/17/2023
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction
Link prediction is a crucial task in graph machine learning with diverse...
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07/17/2023
Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?
In robotic tasks, changes in reference frames typically do not influence...
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07/07/2023
Equivariant Single View Pose Prediction Via Induced and Restricted Representations
Learning about the three-dimensional world from two-dimensional images i...
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06/10/2023
On Robot Grasp Learning Using Equivariant Models
Real-world grasp detection is challenging due to the stochasticity in gr...
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03/08/2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance
Although equivariant machine learning has proven effective at many tasks...
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02/27/2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
Predicting the pose of objects from a single image is an important but d...
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02/01/2023
Generative Adversarial Symmetry Discovery
Despite the success of equivariant neural networks in scientific applica...
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11/16/2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Extensive work has demonstrated that equivariant neural networks can sig...
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10/31/2022
SEIL: Simulation-augmented Equivariant Imitation Learning
In robotic manipulation, acquiring samples is extremely expensive becaus...
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10/31/2022
Edge Grasp Network: A Graph-Based SE(3)-invariant Approach to Grasp Detection
Given point cloud input, the problem of 6-DoF grasp pose detection is to...
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08/24/2022
Secondary Protein Structure Prediction Using Neural Networks
In this paper we experiment with using neural network structures to pred...
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07/26/2022
Quiver neural networks
We develop a uniform theoretical approach towards the analysis of variou...
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07/18/2022
I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Reasoning about 3D objects based on 2D images is challenging due to larg...
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06/08/2022
Integrating Symmetry into Differentiable Planning
We study how group symmetry helps improve data efficiency and generaliza...
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05/21/2022
Symmetry Teleportation for Accelerated Optimization
Existing gradient-based optimization methods update the parameters local...
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05/04/2022
Probabilistic Symmetry for Improved Trajectory Forecasting
Trajectory prediction is a core AI problem with broad applications in ro...
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04/28/2022
Toward Compositional Generalization in Object-Oriented World Modeling
Compositional generalization is a critical ability in learning and decis...
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04/24/2022
Learning Symmetric Embeddings for Equivariant World Models
Incorporating symmetries can lead to highly data-efficient and generaliz...
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03/09/2022
On-Robot Policy Learning with O(2)-Equivariant SAC
Recently, equivariant neural network models have been shown to be useful...
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03/08/2022
SO(2)-Equivariant Reinforcement Learning
Equivariant neural networks enforce symmetry within the structure of the...
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02/18/2022
Sample Efficient Grasp Learning Using Equivariant Models
In planar grasp detection, the goal is to learn a function from an image...
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12/25/2021
AI-Bind: Improving Binding Predictions for Novel Protein Targets and Ligands
Identifying novel drug-target interactions (DTI) is a critical and rate ...
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10/28/2021
Equivariant Q Learning in Spatial Action Spaces
Recently, a variety of new equivariant neural network model architecture...
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09/15/2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Existing equivariant neural networks for continuous groups require discr...
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07/06/2021
The QR decomposition for radial neural networks
We provide a theoretical framework for neural networks in terms of the r...
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04/12/2021
Traffic Forecasting using Vehicle-to-Vehicle Communication
We take the first step in using vehicle-to-vehicle (V2V) communication t...
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02/20/2021
Meta-Learning Dynamics Forecasting Using Task Inference
Current deep learning models for dynamics forecasting struggle with gene...
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10/21/2020
Trajectory Prediction using Equivariant Continuous Convolution
Trajectory prediction is a critical part of many AI applications, for ex...
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02/08/2020