Abhishek Sivaram

According to our database, Abhishek Sivaram authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Arbitrage equilibria in active matter systems.

Venkat Venkatasubramanian, Abhishek Sivaram, N. Sanjeevrajan, Arun Sankar E. M.

Comput. Chem. Eng., 2025

Jaynes machine: The universal microstructure of deep neural networks.

Venkat Venkatasubramanian, N. Sanjeevrajan, Manasi Khandekar, Abhishek Sivaram, Collin Szczepanski

Comput. Chem. Eng., 2025

Models, modeling and model-based systems in the era of computers, machine learning and AI.

Seyed Soheil Mansouri, Abhishek Sivaram, Christopher J. Savoie, Rafiqul Gani

Comput. Chem. Eng., 2025

Dynamics of batch protein precipitation.

Amirkiarash Ehtesham, Abhishek Sivaram, Sara Danielle Siegel, John van Zanten, Seyed Soheil Mansouri

Comput. Chem. Eng., 2025

2024

Density and Affinity Dependent Social Segregation and Arbitrage Equilibrium in a Multi-class Schelling Game.

Venkat Venkatasubramanian, Jessica Shi, Leo Goldman, Arun Sankar E. M., Abhishek Sivaram

CoRR, 2024

2023

Arbitrage Equilibrium, Invariance, and the Emergence of Spontaneous Order in the Dynamics of Bird-like Agents.

Abhishek Sivaram, Venkat Venkatasubramanian

Entropy, July, 2023

Machine Learning Framework for Causal Modeling for Process Fault Diagnosis and Mechanistic Explanation Generation

Abhishek Sivaram

PhD thesis, 2023

2022

A unified theory of emergent equilibrium phenomena in active and passive matter.

Venkat Venkatasubramanian, Abhishek Sivaram, Laya Das

Comput. Chem. Eng., 2022

2021

Robust and efficient swarm communication topologies for hostile environments.

Vipul Mann, Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian

Swarm Evol. Comput., 2021

AI-DARWIN: A first principles-based model discovery engine using machine learning.

Arijit Chakraborty, Abhishek Sivaram, Venkat Venkatasubramanian

Comput. Chem. Eng., 2021

2020

Incorporating prior knowledge about structural constraints in model identification.

Deepak Maurya, Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy

CoRR, 2020

Hidden representations in deep neural networks: Part 1. Classification problems.

Abhishek Sivaram, Laya Das, Venkat Venkatasubramanian

Comput. Chem. Eng., 2020

Hidden representations in deep neural networks: Part 2. Regression problems.

Laya Das, Abhishek Sivaram, Venkat Venkatasubramanian

Comput. Chem. Eng., 2020

Mechanism discovery and model identification using genetic feature extraction and statistical testing.

Arijit Chakraborty, Abhishek Sivaram, Lakshminarayanan Samavedham, Venkat Venkatasubramanian

Comput. Chem. Eng., 2020

2019

Prediction error-based clustering approach for multiple-model learning using statistical testing.

Sivadurgaprasad Chinta, Abhishek Sivaram, Raghunathan Rengaswamy

Eng. Appl. Artif. Intell., 2019

A hierarchical approach for causal modeling of process systems.

Resmi Suresh, Abhishek Sivaram, Venkat Venkatasubramanian

Comput. Chem. Eng., 2019