| Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains J Solomon, F De Goes, G Peyré, M Cuturi, A Butscher, A Nguyen, T Du, ... ACM Transactions on Graphics (TOG) 34 (4), 1-11, 2015 | 670 | 2015 |
| InverseCSG: Automatic Conversion of 3D Models to CSG trees T Du, JP Inala, Y Pu, A Spielberg, A Schulz, D Rus, A Solar-Lezama, ... ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018 | 128 | 2018 |
| Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction K Willis, Y Pu, J Luo, H Chu, T Du, J Lambourne, A Solar-Lezama, ... ACM Transactions on Graphics (TOG) 40 (4), 1-24, 2021 | 98 | 2021 |
| PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Z Huang, Y Hu, T Du, S Zhou, H Su, JB Tenenbaum, C Gan International Conference on Learning Representations (ICLR), 2021 | 78 | 2021 |
| Computational Multicopter Design T Du, A Schulz, B Zhu, B Bickel, W Matusik ACM Transactions on Graphics (TOG) 35 (6), 1-10, 2016 | 72 | 2016 |
| DiffPD: Differentiable Projective Dynamics T Du, K Wu, P Ma, S Wah, A Spielberg, D Rus, W Matusik ACM Transactions on Graphics (TOG) 41 (2), 1-21, 2021 | 66 | 2021 |
| Efficient Continuous Pareto Exploration in Multi-Task Learning P Ma*, T Du*, W Matusik International Conference on Machine Learning (ICML) 119, 6522-6531, 2020 | 64 | 2020 |
| Learning to Fly: Computational Controller Design for Hybrid UAVs with Reinforcement Learning J Xu, T Du, M Foshey, B Li, B Zhu, A Schulz, W Matusik ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 56 | 2019 |
| Underwater Soft Robot Modeling and Control with Differentiable Simulation T Du*, J Hughes*, S Wah, W Matusik, D Rus IEEE Robotics and Automation Letters (RA-L) 6 (3), 4994-5001, 2021 | 54 | 2021 |
| DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation P Ma, T Du, JZ Zhang, K Wu, A Spielberg, RK Katzschmann, W Matusik ACM Transactions on Graphics (TOG) 40 (4), 1-14, 2021 | 53 | 2021 |
| Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language M Ding, Z Chen, T Du, P Luo, J Tenenbaum, C Gan Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 47 | 2021 |
| Learning-in-the-Loop Optimization: End-to-End Control and Co-Design of Soft Robots through Learned Deep Latent Representations A Spielberg, A Zhao, Y Hu, T Du, W Matusik, D Rus Advances in Neural Information Processing Systems (NeurIPS) 32, 2019 | 46 | 2019 |
| DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact Y Li, T Du, K Wu, J Xu, W Matusik ACM Transactions on Graphics (TOG) 42 (1), 1-20, 2022 | 42 | 2022 |
| Functional Optimization of Fluidic Devices with Differentiable Stokes Flow T Du, K Wu, A Spielberg, W Matusik, B Zhu, E Sifakis ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020 | 25 | 2020 |
| Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics S Li*, Z Huang*, T Du, H Su, JB Tenenbaum, C Gan International Conference on Learning Representations (ICLR), 2022 | 16 | 2022 |
| RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation P Ma*, T Du*, JB Tenenbaum, W Matusik, C Gan International Conference on Learning Representations (ICLR), 2022 | 14 | 2022 |
| Sim2Real for Soft Robotic Fish via Differentiable Simulation JZ Zhang, Y Zhang, P Ma, E Nava, T Du, P Arm, W Matusik, ... International Conference on Intelligent Robots and Systems (IROS), 12598-12605, 2022 | 12 | 2022 |
| Advanced Soft Robot Modeling in ChainQueen A Spielberg, T Du, Y Hu, D Rus, W Matusik Robotica, 1-31, 2021 | 9 | 2021 |
| Fluidic Topology Optimization with an Anisotropic Mixture Model Y Li, T Du, SG Srinivasan, K Wu, B Zhu, E Sifakis, W Matusik ACM Transactions on Graphics (TOG) 41 (6), 1-14, 2022 | 8 | 2022 |
| Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models E Nava, JZ Zhang, MY Michelis, T Du, P Ma, BF Grewe, W Matusik, ... International Conference on Machine Learning (ICML) 162, 16413-16427, 2022 | 7 | 2022 |
Wojciech MatusikMITVerified email at csail.mit.edu
