| 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 | 31 | 2023 |
| On causally disentangled representations AG Reddy, VN Balasubramanian Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8089-8097, 2022 | 29 | 2022 |
| Matching Learned Causal Effects of Neural Networks With Domain Priors SS Kancheti, AG Reddy, VN Balasubramanian, A Sharma ICML 2022, 2022 | 14 | 2022 |
| Candle: an image dataset for causal analysis in disentangled representations AG Reddy, VN Balasubramanian Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 4 | 2022 |
| Counterfactual generation under confounding AG Reddy, S Dash, A Sharma, VN Balasubramanian arXiv preprint arXiv:2210.12368, 2022 | 3 | 2022 |
| Estimating treatment effects using neurosymbolic program synthesis AG Reddy, VN Balasubramanian | 3 | 2022 |
| 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 |
| Teaching transformers causal reasoning through axiomatic training A Vashishtha, A Kumar, A Pandey, AG Reddy, VN Balasubramanian, ... Causality and Large Models@ NeurIPS 2024, 2024 | 2 | 2024 |
| Rethinking Counterfactual Data Augmentation Under Confounding. AG Reddy, S Bachu, S Dash, C Sharma, A Sharma, VN Balasubramanian arXiv preprint arXiv:2305.18183, 2023 | 2 | 2023 |
| Causality in Neural Networks-An Extended Abstract A Gowtham Reddy AIES 2021, 2021 | 2 | 2021 |
| On Counterfactual Data Augmentation Under Confounding AG Reddy, S Bachu, S Dash, C Sharma, A Sharma, VN Balasubramanian arXiv preprint arXiv:2305.18183, 2023 | 1 | 2023 |
| Detecting and Measuring Confounding Using Causal Mechanism Shifts AG Reddy, VN Balasubramanian NeurIPS 2024, 2024 | | 2024 |
| NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AG Reddy, VN Balasubramanian Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14793 …, 2024 | | 2024 |
| Towards Learning and Explaining Indirect Causal Effects in Neural Networks AG Reddy, S Bachu, H Pathak, V Varshaneya, VN Balasubramanian, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14802 …, 2024 | | 2024 |
| NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AG Reddy, VN Balasubramanian AAAI 2024, 2024 | | 2024 |
| Fine-Grained Visual Recognition in the Age of Multimodal LLMs HC Kuchibhotla, AG Reddy, SS Kancheti, VN Balasubramanian Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 2024 | | 2024 |
| Semantic Alignment for Prompt-Tuning in Vision Language Models HC Kuchibhotla, SS Kancheti, AG Reddy, VN Balasubramanian TMLR 2024, 2024 | | 2024 |
| Rethinking Counterfactual Data Augmentation Under Confounding AG Reddy, S Bachu, S Dash, C Sharma, A Sharma, VN Balasubramanian arXiv preprint arXiv:2305.18183, 2023 | | 2023 |
| On Causally Disentangled Representations AG Reddy, VN Balasubramanian AAAI 2022, 2022 | | 2022 |
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, IndiaVerified email at iith.ac.in