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Electronic Colloquium on Computational Complexity

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TR26-311 | 6th November 2026
Jiatu Li, Daniel Reichman, Ryan Williams, Tony Wu

New Gate, Weight and Wire Complexity Bounds for Sigmoid Neural Networks

Feedforward neural networks with sigmoid activations are of fundamental importance in neural computation. However, our understanding of the circuit complexity of such networks for implementing Boolean functions remains limited. The analog output of the sigmoid, along with its transcendental nature, leads to unique mathematical challenges for proving lower bounds.

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TR26-310 | 6th November 2026
Somnath Bhattacharjee, Mrinal Kumar, Shanthanu Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf

Deterministic factorization of constant depth circuits from \emph{whitebox} PIT

We show that over the field of rational numbers, there is a deterministic algorithm for factorization of constant depth circuits that makes calls to a (whitebox or blackbox) PIT algorithm for such circuits. The time complexity of the algorithm (and hence the number of calls to the PIT oracle) is ... more >>>


TR26-309 | 5th November 2026
Karthik Sheshadri

The determinantal complexity of the 4*4 permanent is 15: A short proof

The best known lower bound on the determinantal complexity of the $4\times4$ permanent is 10. In this short note, I prove that this value is exactly 15: the $4\times4$ permanent is the determinant of a $15\times15$ matrix of affine linear forms, and cannot be that of any smaller matrix. To ... more >>>



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