Abbavaram Gowtham Reddy

According to our database, Abbavaram Gowtham Reddy authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

When Shift Happens - Confounding Is to Blame.

Abbavaram Gowtham Reddy, Celia Rubio-Madrigal, Rebekka Burkholz, Krikamol Muandet

CoRR, May, 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

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Teaching Transformers Causal Reasoning through Axiomatic Training.

Aniket Vashishtha, Abhinav Kumar, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

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

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

CoRR, 2024

Detecting and Measuring Confounding Using Causal Mechanism Shifts.

Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation.

Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Causal Inference Using LLM-Guided Discovery.

Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2023

Rethinking Counterfactual Data Augmentation Under Confounding.

Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian

CoRR, 2023

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

2022

Estimating Treatment Effects using Neurosymbolic Program Synthesis.

Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian

CoRR, 2022

Counterfactual Generation Under Confounding.

Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian

CoRR, 2022

Matching Learned Causal Effects of Neural Networks with Domain Priors.

Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma

Proceedings of the International Conference on Machine Learning, 2022

On Causally Disentangled Representations.

Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Causal Regularization Using Domain Priors.

Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma

CoRR, 2021

Causality in Neural Networks - An Extended Abstract.

Abbavaram Gowtham Reddy

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021