20250708
20250715
20250722
20250729

박세현

Reasoning in LLM

김초은

Neural Flow Diffusion Models Learnable Forward Process for Improved Diffusion Modeling

20250501
20250508
20250520
20250525

이해영

Tracing the thoughts of a LLM

정한교

TabPFNv2

이경선

LLMs Coding Capabilities

이경선

Noise contrastive Estimation of Unnormalized Statistical Models

이지후

OpenAI Safety Hub

정한교

Ontology papers

이관호

Cursor

20250401
20250408
20250415

김초은

Fair AI platform

이해영

Bayesian Low-Rank Adaptation for Large Language Models

정유립

AI Agent: Microsoft and Anthropic

정유립

AI Agent: MCP and A2A

박석훈

ChatGPT for Research and Publication

20250401
20250415
Fairness

정유립

1. Kearns et al. – Preventing Fairness Gerrymandering

이경선

3. Kearns et al. – An Empirical Study of Rich Subgroup Fairness for Machine Learning

신윤섭

2. Gohar and Cheng – A Survey on Intersectional Fairness

정한교

4. Molina and Loiseau – Bounding and Approximating Intersectional Fairness

이해영

5. Foulds et al. – An Intersectional Definition of Fairness

김초은

6. Shui et al. – On Learning Fairness and Accuracy on Multiple Subgroups

이지후

7. Hu et al. – 2024 – A Sequentially Fair Mechanism for Multiple Sensitive AttributesFair AI platform

박세현

8. Tian et al. – Multifair Model Fairness with Multiple Sensitive Attributes

2025 상반기

작성자
admidea
작성일
2025-07-09
조회
20
20250501
20250508
20250520
20250525

이해영

Tracing the thoughts of a LLM


정한교

TabPFNv2


이경선

LLMs Coding Capabilities


이경선

Noise contrastive Estimation of Unnormalized Statistical Models


이지후

OpenAI Safety Hub


정한교

Ontology papers


이관호

Cursor



20250401
20250408
20250415

김초은

Fair AI platform


이해영

Bayesian Low-Rank Adaptation for Large Language Models


정유립

AI Agent: Microsoft and Anthropic


정유립

AI Agent: MCP and A2A


박석훈

ChatGPT for Research and Publication



20250401
20250415
Fairness

정유립

1. Kearns et al. – Preventing Fairness Gerrymandering


이경선

3. Kearns et al. – An Empirical Study of Rich Subgroup Fairness for Machine Learning


신윤섭

2. Gohar and Cheng – A Survey on Intersectional Fairness


정한교

4. Molina and Loiseau – Bounding and Approximating Intersectional Fairness


이해영

5. Foulds et al. – An Intersectional Definition of Fairness


김초은

6. Shui et al. – On Learning Fairness and Accuracy on Multiple Subgroups


이지후

7. Hu et al. – 2024 – A Sequentially Fair Mechanism for Multiple Sensitive AttributesFair AI platform


박세현

8. Tian et al. – Multifair Model Fairness with Multiple Sensitive Attributes



20250306
20250320
20250325

정한교

Palantir


이경선

ResAD: A Simple Framework for Class Generalizable Anomaly Detection


이지후

TabPFN


김초은

Training Unbiased Diffusion Models from Biased Dataset


신윤섭

Deep research


정유립

Label-free CBM



20250211
20250225

이성은

Prompt Engineering


박세현

Deepseek-R1 PPT


박석훈

XBART



202502
Conformal Prediction

박석훈

Stable Conformal Prediction sets – 2022 ICML


이경선

Derandomized novelty detection with FDR control via conformal e-values – 2023 NeurIPS


박진원

Conformalized fairness via quantile regression – 2022 NeurIPS


신윤섭

Improving Expert Predictions with Conformal Prediction – ICML 2023


이지후

Improving Uncertainty Quanitifcaion of Deep Classifiers via Neighborhood Conformal Prediction – AAAI

2023

안영민

Class-conditional conformal prediction with many classes – 2023 NeurIPS


김건웅

Conformal Prediction with Large Language Models for Multi-choice Question Answering – ICML 2023

workshop


정휘창

Conformal Prediction with Missing Values – 2023 ICML


정한교

Conformal Prediciton via Regression-as-classification – 2024 ICLR


박찬무

Testing for outliers with conformal p-values – 2023 Annals


박세현

Verifiably Robust Conformal Prediction – 2024 NeurIPS


최성식

Conformal meta-learners for predictive inference of individual treatment effects. – 2024 NeurIPS


정유립

Conformal Prediction for Deep Classifier via Label Ranking – 2024 ICML


이해영

Conformal Language Modeling – 2024 ICLR


김초은

An Information Theoretic Perspective on Conformal Prediction – 2024 NeurIPS


이성은

Large language model validity via enhanced conformal prediction methods – 2024 NeurIPS



202501
Statistical learning theory

세미나 자료

ML-Section1


ML-Section2


ML-Section3


ML-Section4


ML-Section5 


Localization_Analysis.pdf

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