Tao Du
Orcid: 0000-0001-7337-7667Affiliations:
- Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA (PhD 2021)
- Stanford University, CA, USA (former)
According to our database1,
Tao Du
authored at least 30 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2023
ACM Trans. Graph., February, 2023
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
Proceedings of the ACM SIGGRAPH 2023 Courses, 2023
Proceedings of the International Conference on Machine Learning, 2023
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics.
Proceedings of the International Conference on Machine Learning, 2023
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
ACM Trans. Graph., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Fusion 360 gallery: a dataset and environment for programmatic CAD construction from human design sequences.
ACM Trans. Graph., 2021
DiffAqua: a differentiable computational design pipeline for soft underwater swimmers with shape interpolation.
ACM Trans. Graph., 2021
IEEE Robotics Autom. Lett., 2021
Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation.
CoRR, 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
ACM Trans. Graph., 2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Learning to fly: computational controller design for hybrid UAVs with reinforcement learning.
ACM Trans. Graph., 2019
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
2016