Nica, Mihai

12 publications

JMLR 2024 Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization Cameron Jakub, Mihai Nica

TMLR 2024 Differential Equation Scaling Limits of Shaped and Unshaped Neural Networks Mufan Bill Li, Mihai Nica

ICLR 2024 Dynamic Sparse Training with Structured Sparsity Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou

NeurIPSW 2024 Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions Mihai Nica, Janosch Ortmann

NeurIPSW 2023 Bandit-Driven Batch Selection for Robust Learning Under Label Noise Michal Lisicki, Mihai Nica, Graham W. Taylor

NeurIPSW 2023 Bandit-Driven Batch Selection for Robust Learning Under Label Noise Michal Lisicki, Graham W. Taylor, Mihai Nica

TMLR 2023 Bounding Generalization Error with Input Compression: An Empirical Study with Infinite-Width Networks Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani Ioannou, Graham W. Taylor

ICMLW 2023 Diffusion on the Probability Simplex Griffin Floto, Thorsteinn Jonsson, Mihai Nica, Scott Sanner, Eric Zhengyu Zhu

ICLR 2023 The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection Griffin Floto, Stefan Kremer, Mihai Nica

NeurIPS 2022 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization Mufan Li, Mihai Nica, Dan Roy

NeurIPS 2021 The Future Is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization Mufan Li, Mihai Nica, Dan Roy

ICLR 2020 Finite Depth and Width Corrections to the Neural Tangent Kernel Boris Hanin, Mihai Nica