Publications
- When Shift Happens - Confounding Is to Blame
Abbavaram Gowtham Reddy, Celia Rubio-Madrigal, Rebekka Burkholz, Krikamol Muandet
Preprint 2025
- Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha, Abhinav Kumar, Atharva Pandey, Abbavaram Gowtham Reddy, Kabir Ahuja, Vineeth N Balasubramanian, Amit Sharma
ICML 2025
- Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
ICLR 2025
- Semantic Alignment for Prompt-Tuning in Vision Language Models
Hari Chandana Kuchibhotla, Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
TMLR 2024
- Detecting and Measuring Confounding Using Causal Mechanism Shifts
Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
NeurIPS 2024
- Fine-Grained Visual Recognition in the Age of Multimodal LLMs
Hari Chandana Kuchibhotla, Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N Balasubramanian
NeurIPS Workshop on Adaptive Foundation Models 2024
- Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L Godfrey, Vineeth N Balasubramanian, Varshaneya V, Sathya Narayanan Kar
AAAI 2024
- NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
AAAI 2024
- Causal Inference using LLM-Guided Discovery
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
AAAI Workshop on Are Large Language Models Simply Causal Parrots?, NeurIPS workshop on Causality and Large Models 2024
- Debiasing Machine Unlearning with Counterfactual Examples
Ziheng Chen, Jia Wang, Jun Zhuang, Abbavaram Gowtham Reddy, Fabrizio Silvestri, Jin Huang, Kaushiki Nag, kun Kuang, Xin Ning, Gabriele Tolomei
Preprint
- Counterfactual Generation Under Confounding
Abbavaram Gowtham Reddy*, Saloni Dash*, Amit Sharma, Vineeth N Balasubramanian
NeurIPS Workshop on Causal ML for Realworld Impact 2022
- Matching Learned Causal Effects of Neural Networks with Domain Priors
Abbavaram Gowtham Reddy*, Kancheti Sai Srinivas*, Vineeth N Balasubramanian, Amit Sharma
ICML 2022
- On Causally Disentangled Representations
Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N Balasubramanian
AAAI 2022
- CANDLE: An Image Dataset for Causal Analysis in Disentangled Representations
Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N Balasubramanian
CVPR Workshop on Causality in Vision 2021
(Best Paper Award Winner)
- Causality in Neural Networks - An Extended Abstract
Abbavaram Gowtham Reddy
AAAI/ACM Conference on AI, Ethics, and Society 2021