Stanley Osher
18 papers · 2010–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (15) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (4)
π
Cross-Pollinator
(4)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(28)
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(79)
β‘
Prolific Year
(6)
π
Century Club
(18)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
NIPS (8)
ICML (4)
ICLR (3)
JMLR (2)
AAAI (1)
Top co-authors
Keywords
multi-head attention
(3)
adjoint state
(2)
neural ordinary differential equation
(2)
language modeling
(2)
attention mechanism
(2)
transformer architecture
(2)
neural network optimization
(2)
adversarial robustness
(1)
feature learning
(1)
image classification
(1)
feature selection
(1)
logistic regression
(1)
machine translation
(1)
convex optimization
(1)
robust optimization
(1)
optimal control
(1)
feature representation
(1)
ensemble learning
(1)
message passing
(1)
efficient computing
(1)
Papers
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method
JMLR 2025
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
ICML 2023
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature
ICML 2023
A Primal-Dual Framework for Transformers and Neural Networks
ICLR 2023
JFB: Jacobian-Free Backpropagation for Implicit Networks
AAAI 2022
Improving Transformer with an Admixture of Attention Heads
NIPS 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
NIPS 2022
Improving Transformers with Probabilistic Attention Keys
ICML 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
NIPS 2022
GRAND++: Graph Neural Diffusion with A Source Term
ICLR 2022
Heavy Ball Neural Ordinary Differential Equations
NIPS 2021
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
NIPS 2021
MomentumRNN: Integrating Momentum into Recurrent Neural Networks
NIPS 2020
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
ICLR 2019
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
NIPS 2019
Deep Neural Nets with Interpolating Function as Output Activation
NIPS 2018
Enhanced statistical rankings via targeted data collection
ICML 2013
A Fast Hybrid Algorithm for Large-Scale -Regularized Logistic Regression
JMLR 2010