Hidden Representations in Deep Neural Networks: Part 2. Regression Problems L Das, A Sivaram, V Venkatasubramanian Computers & Chemical Engineering, 106895, 2020 | 47 | 2020 |
A hierarchical approach for causal modeling of process systems R Suresh, A Sivaram, V Venkatasubramanian Computers & Chemical Engineering 123, 170-183, 2019 | 33 | 2019 |
Hidden representations in deep neural networks: Part 1. Classification problems A Sivaram, L Das, V Venkatasubramanian Computers & Chemical Engineering 134, 106669, 2020 | 31 | 2020 |
AI-DARWIN: A first principles-based model discovery engine using machine learning A Chakraborty, A Sivaram, V Venkatasubramanian Computers & Chemical Engineering 154, 107470, 2021 | 27 | 2021 |
XAI‐MEG: Combining symbolic AI and machine learning to generate first‐principles models and causal explanations A Sivaram, V Venkatasubramanian AIChE Journal, e17687, 2022 | 24 | 2022 |
Mechanism Discovery and Model Identification using Genetic Feature Extraction and Statistical Testing A Chakraborty, A Sivaram, L Samavedham, V Venkatasubramanian Computers & Chemical Engineering, 106900, 2020 | 23 | 2020 |
A unified theory of emergent equilibrium phenomena in active and passive matter V Venkatasubramanian, A Sivaram, L Das Computers & Chemical Engineering 164, 107887, 2022 | 14 | 2022 |
Robust and efficient swarm communication topologies for hostile environments V Mann, A Sivaram, L Das, V Venkatasubramanian Swarm and Evolutionary Computation 62, 100848, 2021 | 11 | 2021 |
Prediction error-based clustering approach for multiple-model learning using statistical testing S Chinta, A Sivaram, R Rengaswamy Engineering Applications of Artificial Intelligence 77, 125-135, 2019 | 9 | 2019 |
Arbitrage Equilibrium, Invariance, and the Emergence of Spontaneous Order in the Dynamics of Bird-like Agents A Sivaram, V Venkatasubramanian Entropy 25 (7), 1043, 2023 | 6 | 2023 |
Density and Affinity Dependent Social Segregation and Arbitrage Equilibrium in a Multi-class Schelling Game V Venkatasubramanian, J Shi, L Goldman, A Sivaram arXiv preprint arXiv:2403.04084, 2024 | 3 | 2024 |
Incorporating prior knowledge about structural constraints in model identification D Maurya, S Chinta, A Sivaram, R Rengaswamy arXiv preprint arXiv:2007.04030, 2020 | 3 | 2020 |
Jaynes Machine: The universal microstructure of deep neural networks V Venkatasubramanian, N Sanjeevrajan, M Khandekar, A Sivaram, ... Computers & Chemical Engineering 192, 108908, 2025 | 2 | 2025 |
Arbitrage equilibria in active matter systems V Venkatasubramanian, A Sivaram, N Sanjeevrajan, A Sankar Computers & Chemical Engineering 192, 108861, 2025 | 2 | 2025 |
Invisible hand and arbitrage equilibrium in the self-organizing dynamics of pattern formation in ecological systems V Venkatasubramanian, A Sivaram arXiv preprint arXiv:2312.05765, 2023 | 2 | 2023 |
Models, modeling and model-based systems in the era of computers, machine learning and AI SS Mansouri, A Sivaram, CJ Savoie, R Gani Computers & Chemical Engineering, 108957, 2024 | 1 | 2024 |
Machine Learning-Based Soft Sensor for a Sugar Factory's Batch Crystallizer MR Boskabadi, A Sivaram, G Sin, SS Mansouri Computer Aided Chemical Engineering 53, 1693-1698, 2024 | 1 | 2024 |
Hybrid machine learning for scale-up of biomass production using photobioreactors A Sivaram, A Mehrdadfar, L Greco, C Euler, SS Mansouri Computer Aided Chemical Engineering 53, 2953-2958, 2024 | 1 | 2024 |
A reduced-order hybrid model for photobioreactor performance and biomass prediction S Shahhoseyni, L Greco, A Sivaram, SS Mansouri Algal Research 84, 103750, 2024 | | 2024 |
Arbitrage equilibria in active matter systems V Venkat, A Sivaram, N Sanjeevrajan, A Sankar | | 2024 |