Ivaxi Sheth

According to our database, Ivaxi Sheth authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

2024

MedG-KRP: Medical Graph Knowledge Representation Probing.

Gabriel R. Rosenbaum, Lavender Yao Jiang, Ivaxi Sheth, Jaden Stryker, Anton Alyakin, Daniel Alexander Alber, Nicolas K. Goff, Young Joon Fred Kwon, John Markert, Mustafa Nasir-Moin, Jan Moritz Niehues, Karl L. Sangwon, Eunice Yang, Eric Karl Oermann

CoRR, 2024

CausalGraph2LLM: Evaluating LLMs for Causal Queries.

Ivaxi Sheth, Bahare Fatemi, Mario Fritz

CoRR, 2024

LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation.

Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz

CoRR, 2024

Hypothesizing Missing Causal Variables with LLMs.

Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz

CoRR, 2024

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History.

Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Survey on AI Ethics: A Socio-technical Perspective.

Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack

CoRR, 2023

Transparent Anomaly Detection via Concept-based Explanations.

Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Shirin Abbasinejad Enger

CoRR, 2023

WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference.

Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang

CoRR, 2023

Source-free Domain Adaptation Requires Penalized Diversity.

Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei

CoRR, 2023

Auxiliary Losses for Learning Generalizable Concept-based Models.

Ivaxi Sheth, Samira Ebrahimi Kahou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RelationalUNet for Image Segmentation.

Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning.

Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou

CoRR, 2022

Learning Latent Structural Causal Models.

Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

CoRR, 2022

WiCV 2022: The Tenth Women In Computer Vision Workshop.

Doris Antensteiner, Silvia Bucci, Arushi Goel, Marah Halawa, Niveditha Kalavakonda, Tejaswi Kasarla, Miaomiao Liu, Nermin Samet, Ivaxi Sheth

CoRR, 2022

Latent Variable Models for Bayesian Causal Discovery.

Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

CoRR, 2022

FHIST: A Benchmark for Few-shot Classification of Histological Images.

Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou

CoRR, 2022

2021

Three-stream network for enriched Action Recognition.

Ivaxi Sheth

CoRR, 2021