Varma, Maya

7 publications

ICML 2025 LieRE: Lie Rotational Positional Encodings Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael Moseley, Akshay S Chaudhari, Curtis Langlotz

NeurIPS 2025 SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning Melanie Rieff, Maya Varma, Ossian Rabow, Subathra Adithan, Julie Kim, Ken Chang, Hannah Lee, Nidhi Rohatgi, Christian Bluethgen, Mohamed S Muneer, Jean-Benoit Delbrouck, Michael Moor

NeurIPS 2025 TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models Maya Varma, Jean-Benoit Delbrouck, Sophie Ostmeier, Akshay S Chaudhari, Curtis Langlotz

NeurIPS 2024 RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Maya Varma, Jean-Benoit Delbrouck, Zhihong Chen, Akshay Chaudhari, Curtis Langlotz

ICMLW 2023 Diagnostically Lossless Compression of Medical Images Rogier Van der Sluijs, Maya Varma, Jip Prince, Curtis Langlotz, Akshay S Chaudhari

ICCV 2023 ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data Maya Varma, Jean-Benoit Delbrouck, Sarah Hooper, Akshay Chaudhari, Curtis Langlotz

ICLR 2022 Domino: Discovering Systematic Errors with Cross-Modal Embeddings Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Re