3 papers
cs.LG2026
Universal Approximation Theorem for Input-Connected Multilayer Perceptrons
Vugar Ismailov
We present the Input-Connected Multilayer Perceptron (IC-MLP), a feedforward neural network architecture in which each hidden neuron receives, in addition to the outputs of the pre…
cs.LG2026
On shallow feedforward neural networks with inputs from a topological space
Vugar Ismailov
We study feedforward neural networks with inputs from a topological space (TFNNs). We prove a universal approximation theorem for shallow TFNNs, which demonstrates their capacity t…
cs.DL2025
Metrics Over Merit: The Hidden Costs of Citation Impact in Research
Vugar Ismailov
Once upon a time, scientists' worth was measured by their ideas, proofs, and perhaps how eloquently they debated Hilbert's problems at seminars. But now, citation metrics have come…