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Papers
Graph Neural Networks and Arithmetic Circuits
NeurIPS 2024
Lower Bounds on the Expressivity of Recurrent Neural Language Models
NAACL 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
NeurIPS 2024
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
NeurIPS 2024
$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
ICLR 2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
NeurIPS 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
ICML 2023
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
AISTATS 2022
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
ICLR 2020
Neural Networks with Small Weights and Depth-Separation Barriers
NeurIPS 2020
Complexity of Linear Regions in Deep Networks
ICML 2019