| On Causally Disentangled Representations AG Reddy, VN Balasubramanian AAAI 2022, 2022 | 33* | 2022 |
| Causal Inference Using LLM-Guided Discovery A Vashishtha, AG Reddy, A Kumar, S Bachu, VN Balasubramanian, ... AAAI 2024 workshop on “Are LLMs simply causal parrots?”, 2023 | 18 | 2023 |
| Matching Learned Causal Effects of Neural Networks With Domain Priors SS Kancheti, AG Reddy, VN Balasubramanian, A Sharma ICML 2022, 2022 | 13 | 2022 |
| Rethinking Counterfactual Data Augmentation Under Confounding AG Reddy, S Bachu, S Dash, C Sharma, A Sharma, VN Balasubramanian arXiv preprint arXiv:2305.18183, 2023 | 5* | 2023 |
| NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AG Reddy, VN Balasubramanian AAAI 2024, 2024 | 3* | 2024 |
| Teaching Transformers Causal Reasoning through Axiomatic Training A Vashishtha, A Kumar, AG Reddy, VN Balasubramanian, A Sharma arXiv preprint arXiv:2407.07612, 2024 | 2 | 2024 |
| Debiasing Machine Unlearning with Counterfactual Examples Z Chen, J Wang, J Zhuang, AG Reddy, F Silvestri, J Huang, K Nag, ... arXiv preprint arXiv:2404.15760, 2024 | 2 | 2024 |
| Causality in Neural Networks-An Extended Abstract A Gowtham Reddy AIES 2021, 2021 | 2 | 2021 |
| Detecting and Measuring Confounding Using Causal Mechanism Shifts AG Reddy, VN Balasubramanian NeurIPS 2024, 2024 | | 2024 |
| Can Better Text Semantics in Prompt Tuning Improve VLM Generalization? HC Kuchibhotla, SS Kancheti, AG Reddy, VN Balasubramanian arXiv preprint arXiv:2405.07921, 2024 | | 2024 |
| Towards Learning and Explaining Indirect Causal Effects in Neural Networks AG Reddy, S Bachu, H Pathak, BL Godfrey, VN Balasubramanian, SN Kar AAAI 2024, 2024 | | 2024 |
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, IndiaVerified email at iith.ac.in
