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ORCIDJawad Chowdhury
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2020 – today
- 2024
[j1]Jawad Chowdhury, Charles Fricke
, Olajide Bamidele, Mubarak Bello, Wenqiang Yang, Andreas Heyden, Gabriel Terejanu:
Invariant Molecular Representations for Heterogeneous Catalysis. J. Chem. Inf. Model. 64(2): 327-339 (2024)- [i5]Jawad Chowdhury, Gabriel Terejanu:
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization. CoRR abs/2411.06040 (2024) - 2023
- [c5]Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
Causal Feature Selection: Methods and a Novel Causal Metric Evaluation Framework. DSAA 2023: 1-9 - [c4]Jawad Chowdhury, Gabriel Terejanu:
CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. ICMLA 2023: 808-813 - [c3]Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu:
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. ICPRAM 2023: 136-146 - [c2]Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu:
Machine Fault Classification Using Hamiltonian Neural Networks. ICPRAM 2023: 474-480 - [i4]Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu:
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS. CoRR abs/2301.01817 (2023) - [i3]Jeremy Shen, Jawad Chowdhury, Sourav Banerjee, Gabriel Terejanu:
Machine Fault Classification using Hamiltonian Neural Networks. CoRR abs/2301.02243 (2023) - 2022
- [c1]Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
From Causal Pairs to Causal Graphs. ICMLA 2022: 802-807 - [i2]Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu:
From Causal Pairs to Causal Graphs. CoRR abs/2211.04312 (2022) - 2020
- [i1]Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid, Asif J. Chowdhury:
Explainable Deep Modeling of Tabular Data using TableGraphNet. CoRR abs/2002.05205 (2020)
Coauthor Index
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