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Author

Yisong Yue

Observed name: Yue, Yisong
OpenAlex ID: A5103936369
On the distance between two neural networks and the stability of learning
2020 · Bernstein, Jeremy, Vahdat, Arash, et al. · CaltechAUTHORS (California Institute of Technology) · 20
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Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
2024 · Zihui Wu, Yu Sun, et al. · neural information processing systems · 18
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Learning compositional functions via multiplicative weight updates
2020 · Bernstein, Jeremy, Zhao, Jiawei, et al. · arXiv (Cornell University) · 13
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Learning by Turning: Neural Architecture Aware Optimisation
2021 · Liu, Yang, Bernstein, Jeremy, et al. · arXiv (Cornell University) · 10
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TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
2024 · Talukder, Sabera, Yue, Yisong, et al. · arXiv (Cornell University) · 5
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DataSciBench: An LLM Agent Benchmark for Data Science
2026 · Dan Zhang, Sining Zhoubian, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 2
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SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
2024 · Hu, Ziniu, Iscen, Ahmet, et al. · arXiv (Cornell University) · 2
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Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces
2024 · Chau, Geeling, An, Yujin, et al. · arXiv (Cornell University) · 2
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TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference
2025 · Zhang, Dan, Cai, Min, et al. · arXiv (Cornell University) · 1
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Kernel Interpolation as a Bayes Point Machine
2021 · Bernstein, Jeremy, Farhang, Alex, et al. · CaltechAUTHORS (California Institute of Technology) · 1
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SpeeDiff: Scalable Pixel-Anchored End-to-End Latent Diffusion Model
2026 · Zhang, Bingliang, Chu, Wenda, et al. · arXiv (Cornell University)
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Knowledge-Centric Self-Improvement
2026 · Wang, Xuefei Julie, Yoon, Lauren Hyoseo, et al. · arXiv (Cornell University)
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Vera: A Layered Diffusion Model for Content-Preserving Video Editing
2026 · Zheng, Hongkai, Cheng, Ta-Ying, et al. · arXiv (Cornell University)
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Flow Annealing Posterior Sampling for Function-Space Regression and Inverse Problems
2026 · Shi, Yaozhong, Ross, Zachary E., et al. · arXiv (Cornell University)
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Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models
2026 · Wang, Austin, Han, Jiaqi, et al. · arXiv (Cornell University)
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Programmatic Context Augmentation for LLM-based Symbolic Regression
2026 · Liu, Hao, Yang, Xiao-Wen, et al. · arXiv (Cornell University)
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End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer
2026 · Chu, Wenda, Zhang, Bingliang, et al. · arXiv (Cornell University)
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Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards
2026 · Liu, Shuze Daniel, Chen, Claire, et al. · arXiv (Cornell University)
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Krause Synchronization Transformers
2026 · Liu, Jingkun, Yue, Yisong, et al. · arXiv (Cornell University)
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Deep-learning-based light control through scattering media
2025 · Xiren Zhang, Yaling Luo, et al. · Tenth International Conference on Information Optics and Photonics
STeP: A Framework for Solving Scientific Video Inverse Problems with Spatiotemporal Diffusion Priors
2025 · Zhang, Bingliang, Wu, Zihui, et al. · arXiv (Cornell University)
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Steering Generative Models with Experimental Data for Protein Fitness Optimization
2025 · Jason Yang, Wenda Chu, et al. · neural information processing systems
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Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
2024 · Zheng, Hongkai, Chu, Wenda, et al. · arXiv (Cornell University)
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Preferential Multi-Objective Bayesian Optimization
2024 · Astudillo, Raul, Li, Kejun, et al. · arXiv (Cornell University)
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Investigating Generalization by Controlling Normalized Margin
2022 · Farhang, Alexander R., Bernstein, Jeremy, et al. · CaltechAUTHORS (California Institute of Technology)
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Works count: 25
Citation count: 74
H-index: 5
I10-index: 4
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