Publications
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research
UTICA: Multi-Objective Self-Distllation Fondation Model Pretraining for Time Series Classification
Layer by layer, module by module: Choose both for optimal OOD probing of ViT
Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies
AIF-GEN: Open-Source Platform and Synthetic Dataset Suite for Reinforcement Learning on Large Language Models
Emergent Reasoning via Recursive Latent Reinforcement Pretraining
Shared Gradient Discovery and Superposition: Learning Dynamics of Generalization in LLMs
μLO: Compute-Efficient Meta-Generalization of Learned Optimizers
CauKer: Classification Time Series Foundation Models Can Be Pretrained On Synthetic Data
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