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Dharmesh Tailor
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2020 – today
- 2024
- [c3]Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick:
Learning to Defer to a Population: A Meta-Learning Approach. AISTATS 2024: 3475-3483 - [i6]Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric T. Nalisnick:
Learning to Defer to a Population: A Meta-Learning Approach. CoRR abs/2403.02683 (2024) - 2023
- [c2]Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan:
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data. NeurIPS 2023 - [c1]Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric T. Nalisnick:
Exploiting Inferential Structure in Neural Processes. UAI 2023: 2089-2098 - [i5]Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric T. Nalisnick:
Exploiting Inferential Structure in Neural Processes. CoRR abs/2306.15169 (2023) - [i4]Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan:
The Memory Perturbation Equation: Understanding Model's Sensitivity to Data. CoRR abs/2310.19273 (2023) - 2021
- [j2]Dario Izzo, Dharmesh Tailor, Thomas Vasileiou:
On the Stability Analysis of Deep Neural Network Representations of an Optimal State Feedback. IEEE Trans. Aerosp. Electron. Syst. 57(1): 145-154 (2021)
2010 – 2019
- 2019
- [i3]Dharmesh Tailor, Dario Izzo:
Learning the optimal state-feedback via supervised imitation learning. CoRR abs/1901.02369 (2019) - 2018
- [j1]Sander W. Keemink, Dharmesh Tailor, Mark C. W. van Rossum:
Unconscious Biases in Neural Populations Coding Multiple Stimuli. Neural Comput. 30(12) (2018) - [i2]Dario Izzo, Christopher Iliffe Sprague, Dharmesh Tailor:
Machine learning and evolutionary techniques in interplanetary trajectory design. CoRR abs/1802.00180 (2018) - [i1]Dario Izzo, Dharmesh Tailor, Thomas Vasileiou:
On the stability analysis of optimal state feedbacks as represented by deep neural models. CoRR abs/1812.02532 (2018)
Coauthor Index
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last updated on 2024-05-14 20:29 CEST by the dblp team
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