Ziyin, Liu

23 publications

ICML 2025 Compositional Generalization via Forced Rendering of Disentangled Latents Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila R Fiete

ICLR 2025 Formation of Representations in Neural Networks Liu Ziyin, Isaac L. Chuang, Tomer Galanti, Tomaso A Poggio

NeurIPS 2025 Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning Liu Ziyin, Yizhou Xu, Isaac L. Chuang

ICLR 2025 Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin, Yizhou Xu, Isaac L. Chuang

ICLR 2025 Three Mechanisms of Feature Learning in a Linear Network Yizhou Xu, Liu Ziyin

ICML 2025 Understanding the Emergence of Multimodal Representation Alignment Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin, Paul Pu Liang

ICLRW 2025 Understanding the Emergence of Multimodal Representation Alignment Megan Tjandrasuwita, Chanakya Ekbote, Liu Ziyin, Paul Pu Liang

NeurIPS 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent Liu Ziyin, Mingze Wang, Hongchao Li, Lei Wu

NeurIPSW 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent Liu Ziyin, Mingze Wang, Hongchao Li, Lei Wu

NeurIPSW 2024 Remove Symmetries to Control Model Expressivity and Improve Optimization Liu Ziyin, Yizhou Xu, Isaac L. Chuang

ICML 2024 Symmetry Induces Structure and Constraint of Learning Liu Ziyin

ICMLW 2024 Three Mechanisms of Feature Learning in an Analytically Solvable Model Yizhou Xu, Liu Ziyin

ICML 2023 On the Stepwise Nature of Self-Supervised Learning James B Simon, Maksis Knutins, Liu Ziyin, Daniel Geisz, Abraham J Fetterman, Joshua Albrecht

ICML 2023 Spred: Solving L1 Penalty with SGD Liu Ziyin, Zihao Wang

ICLR 2023 What Shapes the Loss Landscape of Self Supervised Learning? Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka

NeurIPS 2022 Exact Solutions of a Deep Linear Network Liu Ziyin, Botao Li, Xiangming Meng

NeurIPSW 2022 On Rotational Symmetry in the Loss Landscape of Self-Supervised Learning Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka

NeurIPS 2022 Posterior Collapse of a Linear Latent Variable Model Zihao Wang, Liu Ziyin

ICML 2022 Power-Law Escape Rate of SGD Takashi Mori, Liu Ziyin, Kangqiao Liu, Masahito Ueda

ICLR 2022 SGD Can Converge to Local Maxima Liu Ziyin, Botao Li, James B Simon, Masahito Ueda

ICLR 2022 Strength of Minibatch Noise in SGD Liu Ziyin, Kangqiao Liu, Takashi Mori, Masahito Ueda

ICML 2021 Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent Kangqiao Liu, Liu Ziyin, Masahito Ueda

NeurIPS 2020 Neural Networks Fail to Learn Periodic Functions and How to Fix It Liu Ziyin, Tilman Hartwig, Masahito Ueda