Souradeep Dutta

Orcid: 0000-0003-2706-2095

According to our database1, Souradeep Dutta authored at least 28 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Bridging Dimensions: Confident Reachability for High-Dimensional Controllers.
CoRR, 2023

Memory-Consistent Neural Networks for Imitation Learning.
CoRR, 2023

Distributionally Robust Statistical Verification with Imprecise Neural Networks.
CoRR, 2023

Using Semantic Information for Defining and Detecting OOD Inputs.
CoRR, 2023

Take Me Home: Reversing Distribution Shifts using Reinforcement Learning.
CoRR, 2023

Imprecise Bayesian Neural Networks.
CoRR, 2023

Guaranteed Conformance of Neurosymbolic Models to Natural Constraints.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Incremental Learning with Memory Regressors for Motion Prediction in Autonomous Racing.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Automated Labeling Function Generation using Distance Functions for Physiological Alarm Suppression.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Memory Classifiers for Robust ECG Classification against Physiological Noise.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations.
CoRR, 2022

Memory Classifiers: Two-stage Classification for Robustness in Machine Learning.
CoRR, 2022

Interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates.
Proceedings of the Conference on Robot Learning, 2022

2019
Reaching Out Towards Fully Verified Autonomous Systems.
Proceedings of the Reachability Problems - 13th International Conference, 2019

Verifying Conformance of Neural Network Models: Invited Paper.
Proceedings of the International Conference on Computer-Aided Design, 2019

Reachability analysis for neural feedback systems using regressive polynomial rule inference.
Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019

Sherlock - A tool for verification of neural network feedback systems: demo abstract.
Proceedings of the 22nd ACM International Conference on Hybrid Systems: Computation and Control, 2019

ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants.
Proceedings of the ARCH19. 6th International Workshop on Applied Verification of Continuous and Hybrid Systemsi, 2019

Trajectory Tracking Control for Robotic Vehicles Using Counterexample Guided Training of Neural Networks.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Output Range Analysis for Deep Feedforward Neural Networks.
Proceedings of the NASA Formal Methods - 10th International Symposium, 2018

Robust Data-Driven Control of Artificial Pancreas Systems Using Neural Networks.
Proceedings of the Computational Methods in Systems Biology, 2018

Learning and Verification of Feedback Control Systems using Feedforward Neural Networks.
Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018

2017
A Structured Methodology for Pattern based Adaptive Scheduling in Embedded Control.
ACM Trans. Embed. Comput. Syst., 2017

Output Range Analysis for Deep Neural Networks.
CoRR, 2017

Formal Verification of a Multi-Basal Insulin Infusion Control Model.
Proceedings of the ARCH17. 4th International Workshop on Applied Verification of Continuous and Hybrid Systems, 2017

2016
Multirate Sampling for Power-Performance Tradeoff in Embedded Control.
IEEE Embed. Syst. Lett., 2016

Synthesis of scheduler automata guaranteeing stability and reliability of embedded control systems.
Proceedings of the 20th International Symposium on VLSI Design and Test, 2016


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