Juho Lee

Parallel Test-Time Scaling with Multi-Sequence Verifiers

From Compression to Generalization: Language Model Distillation With Grafting

Soft Equivariance Regularization for Invariant Self-Supervised Learning

Stochastic Optimal Control for Continuous-Time fMRI Representation Learning

ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection

Verbalized Confidence Triggers Self-Verification: Emergent Behavior Without Explicit Reasoning Supervision

SelfMask: Cross-modal Self-Masking for Multimodal Representation Learning in Missing Modality Scenarios

Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series

Axial Neural Networks for Dimension-Free Foundation Models

Compact Memory for Continual Logistic Regression

Test Time Scaling for Neural Processes

Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA

Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo

Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning

HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models

Multi-Marginal Schrödinger Bridge Matching

Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning

Flexible Active Learning of PDE Trajectories

Variational Bayesian Pseudo-Coreset

Dimension Agnostic Neural Processes

Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks

PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs

Ensemble Distribution Distillation via Flow Matching

Active Learning with Selective Time-Step Acquisition for PDEs

Cost-Sensitive Multi-Fidelity Bayesian Optimization

Calibrated Decision-Making through Large Language Model-Assisted Retrieval

Adaptive Priors from Learning Trajectories for Function-Space Bayesian Neural Networks

Augmented Flow Matching via Variance Reduction with Auxiliary Variables