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ORCIDApoorva Nandini Saridena
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2020 – today
- 2022
[j3]Apoorva Nandini Saridena
, Anna Choromanska:
DNN Patching: Progressive Fixing and Augmenting the Functionalities of DNNs for Autonomous Vehicles. IEEE Robotics Autom. Lett. 7(2): 3257-3264 (2022)- 2021
- [c2]Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska:
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. CVPR Workshops 2021: 3270-3280 - [i3]Devansh Bisla, Apoorva Nandini Saridena, Anna Choromanska:
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. CoRR abs/2105.01867 (2021) - 2020
- [j2]Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami:
Learning-Based Real-Time Process-Aware Anomaly Monitoring for Assured Autonomy. IEEE Trans. Intell. Veh. 5(4): 659-669 (2020)
2010 – 2019
- 2019
- [j1]Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska:
LSALSA: accelerated source separation via learned sparse coding. Mach. Learn. 108(8-9): 1307-1327 (2019) - 2018
- [c1]Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami:
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy. IROS 2018: 6149-6154 - [i2]Benjamin Cowen, Apoorva Nandini Saridena, Anna Choromanska:
LSALSA: efficient sparse coding in single and multiple dictionary settings. CoRR abs/1802.06875 (2018) - [i1]Naman Patel, Apoorva Nandini Saridena, Anna Choromanska, Prashanth Krishnamurthy, Farshad Khorrami:
Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy. CoRR abs/1811.04539 (2018)
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