2 papers
stat.ML2026
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
Danil Akhtiamov, Reza Ghane, Omead Pooladzandi +1
We investigate Stochastic Mirror Descent (SMD) with matrix parameters and vector-valued predictions, a framework relevant to multi-class classification and matrix completion proble…
cs.AI2025
PUREVQ-GAN: Defending Data Poisoning Attacks through Vector-Quantized Bottlenecks
Alexander Branch, Omead Pooladzandi, Radin Khosraviani +3
We introduce PureVQ-GAN, a defense against data poisoning that forces backdoor triggers through a discrete bottleneck using Vector-Quantized VAE with GAN discriminator. By quantizi…