Fort, Stanislav

11 publications

ICLR 2025 Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens Stanislav Fort

NeurIPSW 2024 Ensemble Everything Everywhere: Multi-Scale Aggregation for Adversarial Robustness Stanislav Fort, Balaji Lakshminarayanan

NeurIPSW 2024 Standard Adversarial Attacks Only Fool the Final Layer Stanislav Fort

ICLR 2022 How Many Degrees of Freedom Do We Need to Train Deep Networks: A Loss Landscape Perspective Brett W Larsen, Stanislav Fort, Nic Becker, Surya Ganguli

NeurIPS 2021 Exploring the Limits of Out-of-Distribution Detection Stanislav Fort, Jie Ren, Balaji Lakshminarayanan

ICML 2021 On Monotonic Linear Interpolation of Neural Network Parameters James R Lucas, Juhan Bae, Michael R Zhang, Stanislav Fort, Richard Zemel, Roger B Grosse

ICLR 2021 Training Independent Subnetworks for Robust Prediction Marton Havasi, Rodolphe Jenatton, Stanislav Fort, Jeremiah Zhe Liu, Jasper Snoek, Balaji Lakshminarayanan, Andrew Mingbo Dai, Dustin Tran

NeurIPS 2020 Deep Learning Versus Kernel Learning: An Empirical Study of Loss Landscape Geometry and the Time Evolution of the Neural Tangent Kernel Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli

ICLR 2020 The Break-Even Point on Optimization Trajectories of Deep Neural Networks Stanislaw Jastrzebski, Maciej Szymczak, Stanislav Fort, Devansh Arpit, Jacek Tabor, Kyunghyun Cho, Krzysztof Geras

NeurIPS 2019 Large Scale Structure of Neural Network Loss Landscapes Stanislav Fort, Stanislaw Jastrzebski

AAAI 2019 The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes Stanislav Fort, Adam Scherlis