Akiyoshi Sannai
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10)
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Keyword Pioneer
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Hot Topic Early Bird
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Conference Pioneer
Conferences
AAAI (2)
AISTATS (2)
ICLR (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
multi-objective optimization
(2)
learning theory
(1)
model architecture
(1)
neural network optimization
(1)
group lasso
(1)
piecewise linear function
(1)
generalization bound
(1)
deep neural network
(1)
group invariance
(1)
equivariant representation
(1)
invariant representation
(1)
pareto front
(1)
pareto set
(1)
group symmetry
(1)
graph neural network
(1)
surface fitting
(1)
quotient feature space
(1)
bézier simplex fitting
(1)
simplicial structure
(1)
asymptotic risk analysis
(1)
Papers
Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization
AISTATS 2025
Invariant and Equivariant Reynolds Networks
JMLR 2024
On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity
AISTATS 2021
Group Equivariant Conditional Neural Processes
ICLR 2021
Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces
UAI 2021
Asymptotic Risk of Bézier Simplex Fitting
AAAI 2020
Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization
AAAI 2019