Abbavaram Gowtham Reddy

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

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Extended Abstract

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Publications

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey L, Varshaneya V, Vineeth N. Balasubramanian, Satyanarayan Kar
Towards Learning and Explaining Indirect Causal Effects in Neural Networks. AAAI (2024)
Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
Teaching Transformers Causal Reasoning through Axiomatic Training. CoRR (2024)
Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
Can Better Text Semantics in Prompt Tuning Improve VLM Generalization? CoRR (2024)
Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation. AAAI (2024)
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, Kun Kuang, Xin Ning, Gabriele Tolomei
Debiasing Machine Unlearning with Counterfactual Examples. CoRR (2024)
Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L. Godfrey, Vineeth N. Balasubramanian, Varshaneya V, Satya Narayanan Kar
Learning Causal Attributions in Neural Networks: Beyond Direct Effects. CoRR (2023)
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
Causal Inference Using LLM-Guided Discovery. CoRR (2023)
Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian
Rethinking Counterfactual Data Augmentation Under Confounding. CoRR (2023)
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
Matching Learned Causal Effects of Neural Networks with Domain Priors. ICML (2022)
Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
Counterfactual Generation Under Confounding. CoRR (2022)
Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
Estimating Treatment Effects using Neurosymbolic Program Synthesis. CoRR (2022)
Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian
On Causally Disentangled Representations. AAAI (2022)
Abbavaram Gowtham Reddy
Causality in Neural Networks - An Extended Abstract. CoRR (2021)
Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian
On Causally Disentangled Representations. CoRR (2021)
Abbavaram Gowtham Reddy
Causality in Neural Networks - An Extended Abstract. AIES (2021)
Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma
Causal Regularization Using Domain Priors. CoRR (2021)