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This blog post presents the key findings from our NeurIPS 2025 paper on comparing two fundamental paradigms in Self-Supervised Learning (SSL): reconstruction-based and joint-embedding methods.

This blog is about an elegant and practical reformulation of inverse Optimal Transport (OT) that enables efficient computations.