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Home/Authors/Tejas Pradeep Shirodkar

Tejas Pradeep Shirodkar

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26

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ML×1Differential Geometry×1Optimization and Control×1Stats ML×1

Research Timeline

2026
Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks

This paper introduces DDC, a Dead-Direction Conditioner that keeps a deep network's optimization on the symmetry quotient by conditioning the optimizer's state in the orbit decomposition of a $G$-invariant metric.

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Papers

cs.LGmath.DGmath.OCEmpiricalRecentJun 28, 2026

Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks

Tejas Pradeep Shirodkar

This paper introduces DDC, a Dead-Direction Conditioner that keeps a deep network's optimization on the symmetry quotient by conditioning the optimizer's state in the orbit decomposition of a $G$-inva…

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