Animashree Anandkumar

is this you? claim profile

0 followers
California Institute of Technology

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects

Evolution in nature illustrates that the creatures' biological structure...
12/22/2020 ∙ by Xinlei Pan, et al. ∙ 0 ∙ share

read it
Fast Uncertainty Quantification for Deep Object Pose Estimation

Deep learning-based object pose estimators are often unreliable and over...
11/16/2020 ∙ by Guanya Shi, et al. ∙ 0 ∙ share

read it
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...
11/05/2020 ∙ by Zhuoran Qiao, et al. ∙ 1 ∙ share

read it
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 ...
10/02/2020 ∙ by Weili Nie, et al. ∙ 10 ∙ share

read it
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

We present a hierarchical framework that combines model-based control an...
09/21/2020 ∙ by Xingye Da, et al. ∙ 0 ∙ share

read it
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...
08/26/2020 ∙ by Francisco Luongo, et al. ∙ 0 ∙ share

read it
Active Learning under Label Shift

Distribution shift poses a challenge for active data collection in the r...
07/16/2020 ∙ by Eric Zhao, et al. ∙ 18 ∙ share

read it
OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features

We introduce a machine learning method in which energy solutions from th...
07/15/2020 ∙ by Zhuoran Qiao, et al. ∙ 0 ∙ share

read it
Causal Discovery in Physical Systems from Videos

Causal discovery is at the core of human cognition. It enables us to rea...
07/01/2020 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

read it
Convolutional Tensor-Train LSTM for Spatio-temporal Learning

Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
02/21/2020 ∙ by Jiahao Su, et al. ∙ 3 ∙ share

read it
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...
12/10/2019 ∙ by Francesca Baldini, et al. ∙ 16 ∙ share

read it

Animashree Anandkumar

Featured Co-authors

Jan Kautz

Dieter Fox

Antonio Torralba

Yisong Yue

Byron Boots

Fabio Ramos

Animesh Garg

Yuke Zhu

Zhiding Yu

Stan Birchfield

Furong Huang

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects

Fast Uncertainty Quantification for Deep Object Pose Estimation

Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion

Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery

Active Learning under Label Shift

OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features

Causal Discovery in Physical Systems from Videos

Convolutional Tensor-Train LSTM for Spatio-temporal Learning

Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data