Causality in Neural Networks - An Extended Abstract. - Abbavaram Gowtham Reddy (AIES, 2021)

Causal Regularization Using Domain Priors. - Abbavaram Gowtham Reddy; Sai Srinivas Kancheti; Vineeth N. Balasubramanian; Amit Sharma 007 (CoRR, 2021)

On Causally Disentangled Representations. - Abbavaram Gowtham Reddy; Benin Godfrey L; Vineeth N. Balasubramanian (AAAI, 2022)

Matching Learned Causal Effects of Neural Networks with Domain Priors. - Sai Srinivas Kancheti; Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian; Amit Sharma 007 (ICML, 2022)

Counterfactual Generation Under Confounding. - Abbavaram Gowtham Reddy; Saloni Dash; Amit Sharma 007; Vineeth N. Balasubramanian (CoRR, 2022)

Estimating Treatment Effects using Neurosymbolic Program Synthesis. - Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian (CoRR, 2022)

Learning Causal Attributions in Neural Networks: Beyond Direct Effects. - Abbavaram Gowtham Reddy; Saketh Bachu; Harsharaj Pathak; Benin L. Godfrey; Vineeth N. Balasubramanian; Varshaneya V; Satya Narayanan Kar (CoRR, 2023)

Rethinking Counterfactual Data Augmentation Under Confounding. - Abbavaram Gowtham Reddy; Saketh Bachu; Saloni Dash; Charchit Sharma; Amit Sharma 007; Vineeth N. Balasubramanian (CoRR, 2023)

Causal Inference Using LLM-Guided Discovery. - Aniket Vashishtha; Abbavaram Gowtham Reddy; Abhinav Kumar 001; Saketh Bachu; Vineeth N. Balasubramanian; Amit Sharma 007 (CoRR, 2023)

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation. - Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian (AAAI, 2024)

Towards Learning and Explaining Indirect Causal Effects in Neural Networks. - Abbavaram Gowtham Reddy; Saketh Bachu; Harsharaj Pathak; Benin Godfrey L; Varshaneya V; Vineeth N. Balasubramanian; Satyanarayan Kar (AAAI, 2024)

Detecting and Measuring Confounding Using Causal Mechanism Shifts. - Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian (NeurIPS, 2024)

Debiasing Machine Unlearning with Counterfactual Examples. - Ziheng Chen 002; Jia Wang 009; Jun Zhuang; Abbavaram Gowtham Reddy; Fabrizio Silvestri; Jin Huang 010; Kaushiki Nag; Kun Kuang; Xin Ning 001; Gabriele Tolomei (CoRR, 2024)

Can Better Text Semantics in Prompt Tuning Improve VLM Generalization? - Hari Chandana Kuchibhotla; Sai Srinivas Kancheti; Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian (CoRR, 2024)

Teaching Transformers Causal Reasoning through Axiomatic Training. - Aniket Vashishtha; Abhinav Kumar 001; Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian; Amit Sharma 007 (CoRR, 2024)

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference. - Aniket Vashishtha; Abbavaram Gowtham Reddy; Abhinav Kumar 001; Saketh Bachu; Vineeth N. Balasubramanian; Amit Sharma 007 (ICLR, 2025)

Semantic Alignment for Prompt-Tuning in Vision Language Models. - Hari Chandana Kuchibhotla; Sai Srinivas Kancheti; Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian (Trans. Mach. Learn. Res., 2025)

Efficient Vocabulary-Free Fine-Grained Visual Recognition in the Age of Multimodal LLMs. - Hari Chandana Kuchibhotla; Sai Srinivas Kancheti; Abbavaram Gowtham Reddy; Vineeth N. Balasubramanian (Trans. Mach. Learn. Res., 2025)

When Shift Happens - Confounding Is to Blame. - Abbavaram Gowtham Reddy; Celia Rubio-Madrigal; Rebekka Burkholz; Krikamol Muandet (CoRR, 2025)