Sagar Malhotra

Orcid: 0000-0001-6700-4311

According to our database1, Sagar Malhotra authored at least 18 papers between 2010 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GNN Explanations that do not Explain and How to find Them.
CoRR, January, 2026

Is BatchEnsemble a Single Model? On Calibration and Diversity of Efficient Ensembles.
CoRR, January, 2026

2025
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model.
CoRR, October, 2025

Prime Implicant Explanations for Reaction Feasibility Prediction.
CoRR, October, 2025

Lifted inference beyond first-order logic.
Artif. Intell., 2025

Probably Approximately Global Robustness Certification.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Towards Counting Markov Equivalence Classes with Logical Constraints.
CoRR, 2024

Understanding Domain-Size Generalization in Markov Logic Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Simple and Effective Transfer Learning for Neuro-Symbolic Integration.
Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Logical Distillation of Graph Neural Networks.
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

2023
Weighted First Order Model Counting with Directed Acyclic Graph Axioms.
CoRR, 2023

Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

2022
On Projectivity in Markov Logic Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Combinatorial Approach to Weighted Model Counting in the Two-Variable Fragment with Cardinality Constraints.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020
Weighed Model Counting in FO<sup>2</sup> with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula.
CoRR, 2020

2010
Effect of different substrates on Compact stacked square Microstrip Antenna
CoRR, 2010


  Loading...