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Amber Srivastava
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2020 – today
- 2024
- [j5]Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith:
Closed-loop identification of stabilized models using dual input-output parameterization. Eur. J. Control 80: 101089 (2024) - [c6]Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka:
Sparse Linear Regression with Constraints: A Flexible Entropy-Based Framework. ECC 2024: 2105-2110 - 2023
- [j4]Amber Srivastava, Srinivasa M. Salapaka:
Dynamic parameters in Sequential Decision Making. Autom. 148: 110795 (2023) - [c5]Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka:
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint. ACC 2023: 3827-3832 - [c4]Amber Srivastava, Mingzhou Yin, Andrea Iannelli, Roy S. Smith:
A Dual System-Level Parameterization for Identification from Closed-Loop Data. CDC 2023: 4506-4511 - [i10]Anilkumar Parsi, Marcell Bartos, Amber Srivastava, Sebastien Gros, Roy S. Smith:
Once upon a time step: A closed-loop approach to robust MPC design. CoRR abs/2303.11021 (2023) - [i9]Shaurya Shriyam, Prashant Palkar, Amber Srivastava:
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 abs/2310.01077 (2023) - [i8]Amber Srivastava, Alisina Bayati, Srinivasa M. Salapaka:
Sparse Linear Regression with Constraints: A Flexible Entropy-based Framework. CoRR abs/2311.08342 (2023) - [i7]Ran Chen, Amber Srivastava, Mingzhou Yin, Roy S. Smith:
Closed-Loop Identification of Stabilized Models Using Dual Input-Output Parameterization. CoRR abs/2311.09019 (2023) - 2022
- [j3]Amber Srivastava, Raj Kiriti Velicheti, Srinivasa M. Salapaka
:
On the choice of number of superstates in the aggregation of Markov chains. Pattern Recognit. Lett. 159: 181-188 (2022) - [j2]Amber Srivastava
Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle-Based Framework. IEEE Trans. Cybern. 52(9): 9339-9351 (2022) - [i6]Alisina Bayati, Amber Srivastava, Amir Malvandi, Hao Feng, Srinivasa M. Salapaka:
Towards Efficient Modularity in Industrial Drying: A Combinatorial Optimization Viewpoint. CoRR abs/2210.01971 (2022) - 2020
- [j1]Amber Srivastava
Simultaneous Facility Location and Path Optimization in Static and Dynamic Networks. IEEE Trans. Control. Netw. Syst. 7(4): 1700-1711 (2020) - [i5]Amber Srivastava, Srinivasa M. Salapaka:
Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle Based Framework. CoRR abs/2006.09646 (2020) - [i4]Amber Srivastava, Raj Kiriti Velicheti, Srinivasa M. Salapaka:
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains. CoRR abs/2010.05341 (2020)
2010 – 2019
- 2019
- [c3]Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. AAAI 2019: 5000-5007 - [c2]Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka:
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CDC 2019: 3948-3953 - [i3]Mayank Baranwal, Amber Srivastava, Srinivasa M. Salapaka:
Multiway k-Cut in Static and Dynamic Graphs: A Maximum Entropy Principle Approach. CoRR abs/1907.08720 (2019) - [i2]Reza Soleymanifar, Amber Srivastava, Carolyn L. Beck, Srinivasa M. Salapaka:
A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing. CoRR abs/1912.02915 (2019) - 2018
- [i1]Amber Srivastava, Mayank Baranwal, Srinivasa M. Salapaka:
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset. CoRR abs/1811.00102 (2018) - 2017
- [c1]Amber Srivastava, Srinivasa M. Salapaka:
Combined resource allocation and route optimization in multiagent networks: A scalable approach. ACC 2017: 3956-3961
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