Tian Yu Liu

38 papers A* 12A 1Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — —
Geometric and Compositional Semantic Structures in Deep Representations
Tian Yu Liu
2025 J jnl
Maximally-Informative Retrieval for State Space Model Generation.
CoRR
Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto
2025 — conf
Observability of Latent States in Generative AI Models.
NeuS
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2025 A* conf
PICASO: Permutation-Invariant Context Composition with State Space Models.
ICLR
Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
2025 J jnl
PICASO: Permutation-Invariant Context Composition with State Space Models.
CoRR
Tian Yu Liu, Alessandro Achille, Matthew Trager, Aditya Golatkar, Luca Zancato, Stefano Soatto
2024 — conf
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation.
ECCV (64)
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2024 J jnl
Conjuring Semantic Similarity.
CoRR
Tian Yu Liu, Stefano Soatto
2024 A* conf
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding.
CVPR
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
2024 J jnl
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding.
CoRR
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
2024 A* conf
Meaning Representations from Trajectories in Autoregressive Models.
ICLR
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2024 J jnl
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI.
CoRR
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
2024 A* conf
Sub-token ViT Embedding via Stochastic Resonance Transformers.
ICML
Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto
2024 A* conf
Tangent Transformers for Composition, Privacy and Removal.
ICLR
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
2023 J jnl
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion.
CoRR
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
2023 J jnl
Meaning Representations from Trajectories in Autoregressive Models.
CoRR
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
2023 J jnl
Sub-token ViT Embedding via Stochastic Resonance Transformers.
CoRR
Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto
2023 J jnl
Taming AI Bots: Controllability of Neural States in Large Language Models.
CoRR
Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu
2023 A* conf
Tangent Model Composition for Ensembling and Continual Fine-tuning.
ICCV
Tian Yu Liu, Stefano Soatto
2023 J jnl
Tangent Model Composition for Ensembling and Continual Fine-tuning.
CoRR
Tian Yu Liu, Stefano Soatto
2023 J jnl
Tangent Transformers for Composition, Privacy and Removal.
CoRR
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
2023 A* conf
Train/Test-Time Adaptation with Retrieval.
CVPR
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2023 J jnl
Train/Test-Time Adaptation with Retrieval.
CoRR
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
2022 A* conf
Data-Efficient Augmentation for Training Neural Networks.
NeurIPS
Tian Yu Liu, Baharan Mirzasoleiman
2022 J jnl
Data-Efficient Augmentation for Training Neural Networks.
CoRR
Tian Yu Liu, Baharan Mirzasoleiman
2022 A* conf
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack.
NeurIPS
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
2022 J jnl
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks.
CoRR
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
2022 J jnl
Integral Continual Learning Along the Tangent Vector Field of Tasks.
CoRR
Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille
2022 — conf
Monitored Distillation for Positive Congruent Depth Completion.
ECCV (2)
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
2022 J jnl
Monitored Distillation for Positive Congruent Depth Completion.
CoRR
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
2022 A* conf
Not All Poisons are Created Equal: Robust Training against Data Poisoning.
ICML
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
2022 J jnl
Not All Poisons are Created Equal: Robust Training against Data Poisoning.
CoRR
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
2022 A* conf
Stereoscopic Universal Perturbations across Different Architectures and Datasets.
CVPR
Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
2021 J jnl
Stereoscopic Universal Perturbations across Different Architectures and Datasets.
CoRR
Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
2021 J jnl
Triplet Contrastive Learning for Brain Tumor Classification.
CoRR
Tian Yu Liu, Jiashi Feng
2012 A conf
An integrated system for autonomous robotics manipulation.
IROS
J. Andrew Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tian Yu Liu, Nancy S. Pollard, Mihail Pivtoraiko, Jean-Sebastien Valois, Ranqi Zhu
2012 — conf
Contextual Sequence Prediction with Application to Control Library Optimization.
Robotics: Science and Systems
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
2012 A* conf
Efficient Optimization of Control Libraries.
AAAI
Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell
2012 J jnl
Predicting Contextual Sequences via Submodular Function Maximization
CoRR
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell