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Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects
Evolution in nature illustrates that the creatures' biological structure...
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Fast Uncertainty Quantification for Deep Object Pose Estimation
Deep learning-based object pose estimators are often unreliable and over...
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Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces
We refine the OrbNet model to accurately predict energy, forces, and oth...
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Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Humans have an inherent ability to learn novel concepts from only a few ...
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Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
We present a hierarchical framework that combines model-based control an...
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Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery
Our previous work classified a taxonomy of suturing gestures during a ve...
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Active Learning under Label Shift
Distribution shift poses a challenge for active data collection in the r...
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OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features
We introduce a machine learning method in which energy solutions from th...
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Causal Discovery in Physical Systems from Videos
Causal discovery is at the core of human cognition. It enables us to rea...
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Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
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Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data
In this work, we propose a robust network-in-the-loop control system tha...
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