| Hidden Representations in Deep Neural Networks: Part 2. Regression Problems L Das, A Sivaram, V Venkatasubramanian Computers & Chemical Engineering, 106895, 2020 | 41 | 2020 |
| A hierarchical approach for causal modeling of process systems R Suresh, A Sivaram, V Venkatasubramanian Computers & Chemical Engineering 123, 170-183, 2019 | 30 | 2019 |
| Hidden representations in deep neural networks: Part 1. Classification problems A Sivaram, L Das, V Venkatasubramanian Computers & Chemical Engineering 134, 106669, 2020 | 28 | 2020 |
| 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 | 22 | 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 | 21 | 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 | 17 | 2022 |
| A unified theory of emergent equilibrium phenomena in active and passive matter V Venkatasubramanian, A Sivaram, L Das Computers & Chemical Engineering 164, 107887, 2022 | 10 | 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 | 9 | 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 | 8 | 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 | 4 | 2023 |
| 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 |
| Incorporating prior knowledge about structural constraints in model identification D Maurya, S Chinta, A Sivaram, R Rengaswamy arXiv preprint arXiv:2007.04030, 2020 | 2 | 2020 |
| 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 | | 2024 |
| Machine Learning Framework for Causal Modeling for Process Fault Diagnosis and Mechanistic Explanation Generation A Sivaram Columbia University, 2023 | | 2023 |
| Arbitrage Equilibrium, Invariance, and the Emergence of Spontaneous Order in the Dynamics of Birds Flocking A Sivaram, V Venkatasubramanian arXiv preprint arXiv:2207.13743, 2022 | | 2022 |
| Optimal Communication Topologies for Particle Swarm Optimization Under Hostile Environments V Mann, A Sivaram, L Das, V Venkatasubramanian 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Mechanism Discovery and Model Identification Using Genetic Feature Extraction and Statistical Testing A Sivaram, A Chakraborty, L Samavedham, V Venkatasubramanian 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| The Nature of Fault-Space Classification By Neural Networks L Das, A Sivaram, V Venkatasubramanian 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Digital Twin for Aluminum Smelting R Rengaswamy, VN Venkatesan, D Raj, A Sivaram, S Vijayaraghavan, ... 2019 AIChE Annual Meeting, 2019 | | 2019 |
| How Does a Deep Neural Network Learn to Approximate Functions? A Sivaram, L Das, V Venkatasubramanian 2019 AIChE Annual Meeting, 2019 | | 2019 |
Venkat VenkatasubramanianSamuel Ruben-Peter G. Viele Professor of Engineering, Columbia University在 columbia.edu 的电子邮件经过验证
