Selected Publications (see full list here)
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Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
arXiv, preprint.
[Paper]
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Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper]
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Meaning Representations from Trajectories in Autoregressive Models
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto.
International Conference on Learning Representations (ICLR), 2024
[Paper][Code]
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Tangent Transformers for Composition, Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
International Conference on Learning Representations (ICLR), 2024
[Paper][Code]
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Tangent Model Composition for Ensembling and Continual Fine-tuning
Tian Yu Liu and Stefano Soatto
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
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Integral Continual Learning along the Tangent Vector Field of Tasks
Tian Yu Liu, Aditya Golatkar, Alessandro Achille, Stefano Soatto
arXiv, preprint.
[Paper]
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Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu and Baharan Mirzasoleiman
Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
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Monitored Distillation for Positive Congruent Depth Completion
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]
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I stole this nice template from here.
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