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FiGuRO reveals that effective intrinsic dimension estimation can emerge as a byproduct of optimizing low-rank projections, transforming how we approach multi-modal representation learning.
Hard interventions can reveal causal structures even when traditional assumptions of faithfulness fail, challenging the status quo in causal discovery.