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Electronic Colloquium on Computational Complexity

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TR26-313 | 5th November 2026
Nikolai Chukhin, Karthik Gajulapalli, Alexander Golovnev, Ivan Mihajlin

A Little Derandomization Goes a Long Way: Unconditional Circuit Lower Bounds using Low-Degree PIT

We prove unconditionally that either NE contains a language requiring Boolean circuits of size at least $2^n/(2n)$, or $VP^0_{\mathbb{Z}}\ne VNP^0_{\mathbb{Z}}$, a constant-free version of Valiant's conjecture over the integers. The Boolean alternative implies that $NP\not\subseteq SIZE[n^k]$ for every constant $k\ge1$. Our proof gives a fine-grained variant of the connection between ... more >>>


TR26-312 | 5th November 2026
Clement Canonne, Xi Chen, William Pires, Toniann Pitassi, Rocco Servedio

The Space Complexity of Property Testing

We initiate the study of the space complexity of property testing. We focus on five properties of Boolean functions that have been intensively studied in the property testing literature: monotonicity, symmetry, linearity, being a junta, and being a linear threshold function.

On the upper bounds side, we show --- ... more >>>


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.

... more >>>


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