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Papers
The Logical Implication Steering Method for Conditional Interventions on Transformer Generation
ICML 2025
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
ICML 2025
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
ICLR 2025
Tractable Transformers for Flexible Conditional Generation
ICML 2025
Transformative or Conservative? Conservation laws for ResNets and Transformers
ICML 2025
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
ICML 2025
Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
ICLR 2025
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
ICML 2025
Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
ICML 2025
Universal Approximation of Mean-Field Models via Transformers
ICML 2025
Universal Length Generalization with Turing Programs
ICML 2025
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
ICML 2025
Aligning Transformers with Weisfeiler-Leman
ICML 2024
All-in-one simulation-based inference
ICML 2024
Analysis of Transformers for Medical Image Retrieval
MIDL 2024
An Information-Theoretic Analysis of In-Context Learning
ICML 2024
A Tale of Tails: Model Collapse as a Change of Scaling Laws
ICML 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers
ICML 2024
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
ICML 2024
Avoid Everything: Model-Free Collision Avoidance with Expert-Guided Fine-Tuning
CoRL 2024
Body Transformer: Leveraging Robot Embodiment for Policy Learning
CoRL 2024
Breaking through the learning plateaus of in-context learning in Transformer
ICML 2024
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks
ICML 2024
Case-Based or Rule-Based: How Do Transformers Do the Math?
ICML 2024
Cell-DETR: Efficient cell detection and classification in WSIs with transformers
MIDL 2024