Stanislav Fort
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (15) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Grand Slam
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Triple Crown
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Keyword Champion
(5)
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Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
loss landscape
(5)
neural network optimization
(4)
stochastic gradient descent
(2)
feature learning
(1)
few-shot learning
(1)
batch normalization
(1)
kernel learning
(1)
high-dimensional optimization
(1)
differential geometry
(1)
adversarial attack
(1)
learning rate
(1)
phase transition
(1)
convolutional neural network
(1)
deep neural network
(1)
hessian eigenvalue
(1)
language model
(1)
scaling law
(1)
out-of-distribution detection
(1)
training dynamics
(1)
model ensembling
(1)
Papers
Scaling Laws for Adversarial Attacks on Language Model Activations and Tokens
ICLR 2025
How many degrees of freedom do we need to train deep networks: a loss landscape perspective
ICLR 2022
Exploring the Limits of Out-of-Distribution Detection
NeurIPS 2021
On Monotonic Linear Interpolation of Neural Network Parameters
ICML 2021
Training independent subnetworks for robust prediction
ICLR 2021
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
NeurIPS 2020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks
ICLR 2020
Large Scale Structure of Neural Network Loss Landscapes
NeurIPS 2019
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes
AAAI 2019