Amber Srivastava

24 papers A* 1C 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Autonomy-Aware Clustering: When Local Decisions Supersede Global Prescriptions.
CoRR
Amber Srivastava, Salar Basiri, Srinivasa M. Salapaka
2025 J jnl
Once Upon a Time Step: A Closed-Loop Approach to Robust MPC Design.
IEEE Trans. Autom. Control.
Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sébastien Gros, Roy S. Smith
2025 J jnl
Resilient Microgrid Scheduling With Synthetic Inertia From Electric Vehicles Within a Network of Charging Stations.
IEEE Trans. Control. Syst. Technol.
Yixun Wen, Zhongda Chu, Amber Srivastava, Fei Teng, Boli Chen
2024 J jnl
Closed-loop identification of stabilized models using dual input-output parameterization.
Eur. J. Control
Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith
2024 — conf
Sparse Linear Regression with Constraints: A Flexible Entropy-Based Framework.
ECC
Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka
2023 — conf
A Dual System-Level Parameterization for Identification from Closed-Loop Data.
CDC
Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith
2023 J jnl
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization.
CoRR
Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith
2023 J jnl
Dynamic parameters in Sequential Decision Making.
Autom.
Amber Srivastava, Srinivasa M. Salapaka
2023 J jnl
On Fulfilling the Exigent Need for Automating and Modernizing Logistics Infrastructure in India: Enabling AI-based Integration, Digitalization, and Smart Automation of Industrial Parks and Robotic Warehouses.
CoRR
Shaurya Shriyam, Prashant Palkar, Amber Srivastava
2023 J jnl
Once upon a time step: A closed-loop approach to robust MPC design.
CoRR
Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sebastien Gros, Roy S. Smith
2023 J jnl
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework.
CoRR
Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka
2023 C conf
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint.
ACC
Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka
2022 J jnl
On the choice of number of superstates in the aggregation of Markov chains.
Pattern Recognit. Lett.
Amber Srivastava, Raj Kiriti Velicheti, Srinivasa M. Salapaka
2022 J jnl
Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle-Based Framework.
IEEE Trans. Cybern.
Amber Srivastava, Srinivasa M. Salapaka
2022 J jnl
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint.
CoRR
Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka
2020 J jnl
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains.
CoRR
Amber Srivastava, Raj Kiriti Velicheti, Srinivasa M. Salapaka
2020 J jnl
Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle Based Framework.
CoRR
Amber Srivastava, Srinivasa M. Salapaka
2020 J jnl
Simultaneous Facility Location and Path Optimization in Static and Dynamic Networks.
IEEE Trans. Control. Netw. Syst.
Amber Srivastava, Srinivasa M. Salapaka
2019 J jnl
A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing.
CoRR
Reza Soleymanifar, Amber Srivastava, Carolyn L. Beck, Srinivasa M. Salapaka
2019 — conf
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach.
CDC
Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
2019 J jnl
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach.
CoRR
Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka
2019 A* conf
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset.
AAAI
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
2018 J jnl
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset.
CoRR
Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka
2017 C conf
Combined resource allocation and route optimization in multiagent networks: A scalable approach.
ACC
Amber Srivastava, Srinivasa M. Salapaka