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ORCIDNatasha Yogananda Jeppu
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2020 – today
- 2024
[j3]Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
Symbolic Task Inference in Deep Reinforcement Learning. J. Artif. Intell. Res. 80: 1099-1137 (2024)- 2022
- [b1]Natasha Yogananda Jeppu:
Learning symbolic abstractions from system execution traces. University of Oxford, UK, 2022 - [j2]Natasha Yogananda Jeppu
, Tom Melham, Daniel Kroening:
Enhancing active model learning with equivalence checking using simulation relations. Formal Methods Syst. Des. 61(2): 164-197 (2022) - [c6]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening:
Active Learning of Abstract System Models from Traces using Model Checking. DATE 2022: 100-103 - 2021
- [c5]Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. AAAI 2021: 7647-7656 - [c4]Ramakrishnan Raman, Natasha Yogananda Jeppu:
Does The Complex SoS Have Negative Emergent Behavior? Looking For Violations Formally. SysCon 2021: 1-7 - [i3]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening:
Active Learning of Abstract System Models from Traces using Model Checking [Extended]. CoRR abs/2112.05990 (2021) - 2020
- [c3]Natasha Yogananda Jeppu, Thomas F. Melham, Daniel Kroening, John O'Leary:
Learning Concise Models from Long Execution Traces. DAC 2020: 1-6 - [c2]Ramakrishnan Raman, Natasha Yogananda Jeppu:
Formal Validation of Emergent Behavior in a Machine Learning Based Collision Avoidance System. SysCon 2020: 1-6 - [i2]Natasha Yogananda Jeppu, Tom Melham, Daniel Kroening, John O'Leary:
Learning Concise Models from Long Execution Traces. CoRR abs/2001.05230 (2020)
2010 – 2019
- 2019
- [j1]Vishal Rathod, Natasha Yogananda Jeppu, Samanvita Sastry, Shruti Singala, Mohit P. Tahiliani:
CoCoA++: Delay gradient based congestion control for Internet of Things. Future Gener. Comput. Syst. 100: 1053-1072 (2019) - [i1]Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. CoRR abs/1911.10244 (2019) - 2018
- [c1]Natasha Yogananda Jeppu, K. Chandrasekaran:
Extending Denoising AutoEncoders for Feature Recognition. ICACCI 2018: 856-861
Coauthor Index
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