Hafez Ghaemi — accepted AI-conference papers

2026

Self-Supervised Learning from Structural Invariance

Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee, Shahab Bakhtiari, Eilif B. Muller, Laurent Charlin

ICLR 2026poster

Joint-embedding self-supervised learning (SSL), the key paradigm for unsupervised representation learning from visual data, learns from invariances between semantically-related data pairs. We study the one-to-many mapping problem in SSL, where each datum may be mapped to multiple valid targets. Thi…

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2025

seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models

Hafez Ghaemi, Eilif Benjamin Muller, Shahab Bakhtiari

NeurIPS 2025poster

Joint-embedding self-supervised learning (SSL) commonly relies on transformations such as data augmentation and masking to learn visual representations, a task achieved by enforcing invariance or equivariance with respect to these transformations applied to two views of an image. This dominant two-v…

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