Abhinav Gorantla

According to our database, Abhinav Gorantla authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Causal Search for Skylines (CSS): Causally-Informed Selective Data De-Correlation.

Pratanu Mandal, Abhinav Gorantla, K. Selçuk Candan, Maria Luisa Sapino

CoRR, March, 2026

CausalBench+: Causal-Informed Machine Learning Benchmarking.

Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Huan Liu, K. Selcuk Candan

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

CausalBench: Causal Learning Research Streamlined.

Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking.

Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.

Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024