Bo Zhao

22 papers A* 6B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Weight Space Learning: Understanding, Representation, and Generation.
CoRR
Xiaolong Han, Zehong Wang, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri
2026 J jnl
Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success.
CoRR
Luca Zhou, Bo Zhao, Rose Yu, Emanuele Rodolà
2026 J jnl
Symmetry in Neural Network Parameter Spaces.
Trans. Mach. Learn. Res.
Bo Zhao, Robin Walters, Rose Yu
2025 J jnl
Emergence of Hierarchical Emotion Organization in Large Language Models.
CoRR
Bo Zhao, Maya Okawa, Eric J. Bigelow, Rose Yu, Tomer D. Ullman, Ekdeep Singh Lubana, Hidenori Tanaka
2025 J jnl
Improving Learning to Optimize Using Parameter Symmetries.
CoRR
Guy Zamir, Aryan Dokania, Bo Zhao, Rose Yu
2025 J jnl
Symmetry in Neural Network Parameter Spaces.
CoRR
Bo Zhao, Robin Walters, Rose Yu
2025 A* conf
Understanding Mode Connectivity via Parameter Space Symmetry.
ICML
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2025 J jnl
Understanding Mode Connectivity via Parameter Space Symmetry.
CoRR
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2024 A* conf
Improving Convergence and Generalization Using Parameter Symmetries.
ICLR
Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
2024 J jnl
Understanding the Difficulty of Solving Cauchy Problems with PINNs.
CoRR
Tao Wang, Bo Zhao, Sicun Gao, Rose Yu
2024 — conf
Understanding the difficulty of solving Cauchy problems with PINNs.
L4DC
Tao Wang, Bo Zhao, Sicun Gao, Rose Yu
2023 A* conf
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.
NeurIPS
Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
2023 J jnl
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting.
CoRR
Salva Rühling Cachay, Bo Zhao, Hailey James, Rose Yu
2023 J jnl
Improving Convergence and Generalization Using Parameter Symmetries.
CoRR
Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
2023 A* conf
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow.
ICLR
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2022 B conf
Concentric Spherical Neural Network for 3D Representation Learning.
IJCNN
James Fox, Bo Zhao, Beatriz Gonzalez del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
2022 A* conf
LIMO: Latent Inceptionism for Targeted Molecule Generation.
ICML
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu
2022 J jnl
LIMO: Latent Inceptionism for Targeted Molecule Generation.
CoRR
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael K. Gilson, Rose Yu
2022 J jnl
Symmetries, flat minima, and the conserved quantities of gradient flow.
CoRR
Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
2022 A* conf
Symmetry Teleportation for Accelerated Optimization.
NeurIPS
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2022 J jnl
Symmetry Teleportation for Accelerated Optimization.
CoRR
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
2021 J jnl
Concentric Spherical GNN for 3D Representation Learning.
CoRR
James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song