Escaping the Curse of Dimensionality in One‑Step Flow-Based Generative Models

Konstantin Yakovlev

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

Multiple Descent of Generalization Curve for Optimally Regularized Ridge Regression

Maxim Bochkov, Fedor Noskov

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels

Classifier-based adaptive stopping treats MCMC trajectory termination as learnable via GFlowNets, reducing trajectory lengths while improving mode coverage and mixing.

Kirill Korolev, Nikita Morozov, Stepan Pavlenko, Esmeralda S Whitammer and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

gfnx: Fast and Scalable Library for Generative Flow Networks in JAX

gfnx is a JAX library for training and evaluating GFlowNets that achieves up to 80x speedups over PyTorch benchmarks across diverse tasks.

Daniil Tiapkin, Artem Agarkov, Nikita Morozov, Ian Maksimov and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Tensorion: A Tensor-Aware Generalization of the Muon Optimizer

Tensorion generalizes Muon to tensors via a tractable spectral-norm linear minimization oracle over unfolding matrices, recovering Muon for matrices and improving convergence over Adam on vision tasks.

Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko, Sergei Kudriashov and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026