Tal Arbel — accepted AI-conference papers

2025

Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation

Bailey Trang, Parham Saremi, Alan Q. Wang, Fangrui Huang, Zahra TehraniNasab, Amar Kumar +3

NeurIPS 2025poster

Capturing diversity is crucial in conditional and prompt-based image generation, particularly when conditions contain uncertainty that can lead to multiple plausible outputs. To generate diverse images reflecting this diversity, traditional methods often modify random seeds, making it difficult to d…

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2022

On Learning Fairness and Accuracy on Multiple Subgroups

Changjian Shui, Gezheng Xu, Qi CHEN, Jiaqi Li, Charles Ling, Tal Arbel +2

NeurIPS 2022accept

We propose an analysis in fair learning that preserves the utility of the data while reducing prediction disparities under the criteria of group sufficiency. We focus on the scenario where the data contains multiple or even many subgroups, each with limited number of samples. As a result, we present…

Cited by 51 Source ↗PDF ↗code ↗Scholar ↗