Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. - Scott Cyphers; Arjun K. Bansal; Anahita Bhiwandiwalla; Jayaram Bobba; Matthew Brookhart; Avijit Chakraborty; William Constable; Christian Convey; Leona Cook; Omar Kanawi; Robert Kimball; Jason Knight; et al. (CoRR, 2018)

Using Scene Graph Context to Improve Image Generation. - Subarna Tripathi; Anahita Bhiwandiwalla; Alexei Bastidas; Hanlin Tang (CoRR, 2019)

Prediction of GNSS Phase Scintillations: A Machine Learning Approach. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. - Kara Lamb; Garima Malhotra; Athanasios Vlontzos; Edward Wagstaff; Atilim Günes Baydin; Anahita Bhiwandiwalla; Yarin Gal; Alfredo Kalaitzis; Anthony Reina; Asti Bhatt (CoRR, 2019)

Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. - Léopold Cambier; Anahita Bhiwandiwalla; Ting Gong; Oguz H. Elibol; Mehran Nekuii; Hanlin Tang (ICLR, 2020)

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. - Xiao Xu 005; Bei Li; Chenfei Wu; Shao-Yen Tseng; Anahita Bhiwandiwalla; Shachar Rosenman; Vasudev Lal; Wanxiang Che; Nan Duan (ACL (1), 2023)

Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks. - Avinash Madasu; Anahita Bhiwandiwalla; Vasudev Lal (CoRR, 2023)

Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. - Phillip Howard; Avinash Madasu; Tiep Le; Gustavo A. Lujan-Moreno; Anahita Bhiwandiwalla; Vasudev Lal (CoRR, 2023)

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. - Phillip Howard; Avinash Madasu; Tiep Le; Gustavo A. Lujan-Moreno; Anahita Bhiwandiwalla; Vasudev Lal (CVPR, 2024)

Why do LLaVA Vision-Language Models Reply to Images in English? - Musashi Hinck; Carolin Holtermann; Matthew L. Olson; Florian Schneider 001; Sungduk Yu; Anahita Bhiwandiwalla; Anne Lauscher; Shao-Yen Tseng; Vasudev Lal (EMNLP (Findings), 2024)

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. - Gabriela Ben Melech Stan; Estelle Aflalo; Raanan Yehezkel Rohekar; Anahita Bhiwandiwalla; Shao-Yen Tseng; Matthew Lyle Olson; Yaniv Gurwicz; Chenfei Wu; Nan Duan; Vasudev Lal (XAI4CV, 2024)

Uncovering Bias in Large Vision-Language Models with Counterfactuals. - Phillip Howard; Anahita Bhiwandiwalla; Kathleen C. Fraser; Svetlana Kiritchenko (CoRR, 2024)

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. - Sungduk Yu; Brian L. White; Anahita Bhiwandiwalla; Musashi Hinck; Matthew Lyle Olson; Tung Nguyen; Vasudev Lal (CoRR, 2024)

Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. - Phillip Howard; Kathleen C. Fraser; Anahita Bhiwandiwalla; Svetlana Kiritchenko (NAACL (Long Papers), 2025)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. - Souvik Kundu 002; Anahita Bhiwandiwalla; Sungduk Yu; Phillip Howard; Tiep Le; Sharath Nittur Sridhar; David Cobbley; Hao Kang; Vasudev Lal (NAACL (Findings), 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)