Juho Lee
~Juho_Lee2
35
论文总数
17.5
年均投稿
平均评分
接收情况25/35
会议分布
ICLR
20
NeurIPS
12
ICML
3
发表论文 (35 篇)
202522 篇
4
Multi-Marginal Schrödinger Bridge Matching
NeurIPS 2025Rejected
4
Augmented Flow Matching via Variance Reduction with Auxiliary Variables
ICLR 2025Rejected
5
Adaptive Priors from Learning Trajectories for Function-Space Bayesian Neural Networks
ICLR 2025Rejected
4
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
ICLR 2025Oral
4
Variational Bayesian Pseudo-Coreset
ICLR 2025Poster
5
Flexible Active Learning of PDE Trajectories
ICLR 2025Rejected
4
Calibrated Decision-Making through Large Language Model-Assisted Retrieval
ICLR 2025Rejected
4
Active Learning with Selective Time-Step Acquisition for PDEs
ICML 2025Poster
4
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
ICML 2025Poster
5
Dimension Agnostic Neural Processes
ICLR 2025Poster
4
Axial Neural Networks for Dimension-Free Foundation Models
NeurIPS 2025Spotlight
5
Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning
ICLR 2025Poster
4
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
ICLR 2025Poster
4
PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
NeurIPS 2025Poster
4
Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
NeurIPS 2025Poster
5
Cost-Sensitive Multi-Fidelity Bayesian Optimization
ICLR 2025Rejected
3
Ensemble Distribution Distillation via Flow Matching
ICML 2025Poster
4
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
NeurIPS 2025Poster
4
Compact Memory for Continual Logistic Regression
NeurIPS 2025Poster
4
Test Time Scaling for Neural Processes
NeurIPS 2025Poster
4
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
NeurIPS 2025Poster
4
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
ICLR 2025Poster
202413 篇
3
Sequential Flow Straightening for Generative Modeling
ICLR 2024withdrawn
4
Improved Function Space Variational Inference with Informative Priors
ICLR 2024Rejected
4
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
NeurIPS 2024Poster
5
Fast Ensembling with Diffusion Schrödinger Bridge
ICLR 2024Poster
4
Learning to Explore for Stochastic Gradient MCMC
ICLR 2024Rejected
4
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
ICLR 2024Poster
3
Learning Infinitesimal Generators of Continuous Symmetries from Data
NeurIPS 2024Poster
4
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
ICLR 2024Poster
4
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning
NeurIPS 2024Spotlight
4
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
NeurIPS 2024Poster
3
Revisiting Subsampling and Mixup for WSI Classification: A Slot-Attention-Based Approach
ICLR 2024withdrawn
5
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
ICLR 2024Poster
5
Self-Supervised Dataset Distillation for Transfer Learning
ICLR 2024Poster