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2020 – today
- 2023
[c5]Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern:
Grape Cold Hardiness Prediction via Multi-Task Learning. AAAI 2023: 15717-15723- [i6]Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Markus Keller, Alan Fern:
Multi-Task Learning for Budbreak Prediction. CoRR abs/2301.01815 (2023) - 2022
- [c4]Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. ICRA 2022: 10428-10434 - [i5]Helei Duan, Ashish Malik, Jeremy Dao, Aseem Saxena, Kevin Green, Jonah Siekmann, Alan Fern, Jonathan W. Hurst:
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. CoRR abs/2203.07589 (2022) - [i4]Alexander Matt Turner, Aseem Saxena, Prasad Tadepalli:
Formalizing the Problem of Side Effect Regularization. CoRR abs/2206.11812 (2022) - [i3]Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern:
Grape Cold Hardiness Prediction via Multi-Task Learning. CoRR abs/2209.10585 (2022)
2010 – 2019
- 2019
- [c3]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems 2019 - [i2]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR abs/1905.12197 (2019) - 2018
- [c2]Shubhani Gupta, Aseem Saxena, Anmol Mahajan, Sorav Bansal:
Effective Use of SMT Solvers for Program Equivalence Checking Through Invariant-Sketching and Query-Decomposition. SAT 2018: 365-382 - 2017
- [c1]Aseem Saxena, Harit Pandya, Gourav Kumar, Ayush Gaud, K. Madhava Krishna:
Exploring convolutional networks for end-to-end visual servoing. ICRA 2017: 3817-3823 - [i1]Aseem Saxena, Harit Pandya, Gourav Kumar, Ayush Gaud, K. Madhava Krishna:
Exploring Convolutional Networks for End-to-End Visual Servoing. CoRR abs/1706.03220 (2017)
Coauthor Index
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