Bobak Kiani
7 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(7)
Deep Learning
(6)
Architectures
(5)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Core AI
(1)
Mathematics
(1)
Keywords
self-supervised learning
(2)
deep neural network
(2)
graph neural network
(2)
representation learning
(2)
neural network optimization
(1)
gaussian process
(1)
expressive power
(1)
parameter projection
(1)
generalization bound
(1)
recurrent neural network
(1)
convolutional network
(1)
partial differential equation
(1)
relu activation
(1)
inductive bia
(1)
adversarial perturbation
(1)
neural solver
(1)
binary classifier
(1)
adversarial example
(1)
gradient projection
(1)
polynomial feature
(1)
Papers
On the hardness of learning under symmetries
ICLR 2024
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
NeurIPS 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
ICML 2023
projUNN: efficient method for training deep networks with unitary matrices
NeurIPS 2022
Adversarial Robustness Guarantees for Random Deep Neural Networks
ICML 2021
Random deep neural networks are biased towards simple functions
NeurIPS 2019