Exploring convolutional networks for end-to-end visual servoing. - Aseem Saxena; Harit Pandya; Gourav Kumar; Ayush Gaud; K. Madhava Krishna (ICRA, 2017)

Effective Use of SMT Solvers for Program Equivalence Checking Through Invariant-Sketching and Query-Decomposition. - Shubhani Gupta; Aseem Saxena; Anmol Mahajan; Sorav Bansal (SAT, 2018)

LeTS-Drive: Driving in a Crowd by Learning from Tree Search. - Panpan Cai; Yuanfu Luo; Aseem Saxena; David Hsu; Wee Sun Lee (Robotics: Science and Systems, 2019)

Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking. - Helei Duan; Ashish Malik; Jeremy Dao; Aseem Saxena; Kevin Green; Jonah Siekmann; Alan Fern; Jonathan W. Hurst (ICRA, 2022)

Formalizing the Problem of Side Effect Regularization. - Alexander Matt Turner; Aseem Saxena; Prasad Tadepalli (CoRR, 2022)

Grape Cold Hardiness Prediction via Multi-Task Learning. - Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Kin-Ho Lam; Markus Keller; Alan Fern (AAAI, 2023)

Multi-Task Learning for Budbreak Prediction. - Aseem Saxena; Paola Pesantez-Cabrera; Rohan Ballapragada; Markus Keller; Alan Fern (CoRR, 2023)