Sedghi, Hanie

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Entezari, R., Sedghi, H., Saukh, O., & Neyshabur, B. (2021) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 156

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Singh, A., Co-Reyes, J. D., Agarwal, R., Anand, A., Patil, P., Garcia, X., Liu, P. J., Harrison, J., Lee, J., Xu, K., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 10

Enhancing LLM Planning Capabilities through Intrinsic Self-Critique

Bohnet, B., Kamienny, P.-A., Sedghi, H., Gorur, D., Awasthi, P., Parisi, A., Swersky, K., Liu, R., Nova, A., & Fiedel, N. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence in Games

Cited by 0

Improving Large Language Model Planning with Action Sequence Similarity

Zhao, X., Sedghi, H., Bohnet, B., Schuurmans, D., & Nova, A. (2025) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0