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Abbavaram Gowtham Reddy
Abbavaram Gowtham Reddy
Verified email at iith.ac.in - Homepage
Title
Cited by
Cited by
Year
On Causally Disentangled Representations
AG Reddy, VN Balasubramanian
AAAI 2022, 2022
242022
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
132023
Matching Learned Causal Effects of Neural Networks With Domain Priors
SS Kancheti, AG Reddy, VN Balasubramanian, A Sharma
ICML 2022, 2022
122022
CANDLE: An Image Dataset for Causal Analysis in Disentangled Representations
AG Reddy, VN Balasubramanian
Best paper @ Workshop on Causality in Vision - CVPR, 2021
42021
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
AG Reddy, VN Balasubramanian
AAAI 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
22023
On Counterfactual Data Augmentation Under Confounding
AG Reddy, S Bachu, S Dash, C Sharma, A Sharma, VN Balasubramanian
NeurIPS 2022 workshop on CML4Impact, 2023
2*2023
Causality in Neural Networks-An Extended Abstract
A Gowtham Reddy
AIES 2021, 2021
22021
Teaching Transformers Causal Reasoning through Axiomatic Training
A Vashishtha, A Kumar, AG Reddy, VN Balasubramanian, A Sharma
arXiv preprint arXiv:2407.07612, 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
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
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
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