20251202
20251216
20251223
20251230

정한교

예정

정유립

예정

김초은

예정

박석훈

예정

박석훈

예정

한상문

예정

이지후

예정

이해영

예정

20251104
20251111
20251125

이경선

Normal-Abnormal Guided Generalist Anomaly Detection

신윤섭

Grok Imagine and Grokipedia

이지후

Video generation models

한상문

(예정) Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data

안영민

(예정) AI Browser : Comet & Atlas

20251102
Neuro-science

이지후

Neuroscience Seminar Introduction

이관호

Understanding Transformer from the Perspective of Associative Memory

이지후

Brief Explanation on Hopfield Network

정한교

Associative Transformer

이해영

Associative Recurrent Memory Transformer

이지후

Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory

20251026
LLM Persona

이해영

LLM 페르소나 개요

김초은

LaMP: When llms meet personalization

정유립

User Embedding Model for Personalized Language Prompting

박세현

LLMs + Persona-Plug = Personalized LLMs

이경선

Synthesizeme!

박석훈

Persona vector monitoring and controlling character trait in language models

20251014

김초은

Diffusion models

정한교

Google Deepmind 2025 – On the Theoretical Limitations of Embedding-Based Retrieval

20250928
Fairness

김건웅

Fair Regression

한상문

Fair learning with Wasserstein barycenters non decomposable performance measures

이성은

Leveraging Labeled and Unlabeled Data Fair Classification

안영민

Fair Regression via Plug In Estimator and Recalibration

신윤섭

Regression under demographic parity

20250928

Asymtotics

Asymtotics 자료

20250907
Hyperbolic
&Unlearning

박세현

Hyperbolic Image-Text Representations

김초은

Hyperbolic vs. Euclidean Embeddings Few-shot Learning

이지후

Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU

한상문

Erasing Concepts from Diffusion Models

이해영

Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation

정유립

Memories of Forgotten Concepts

20250904

이해영

Conformal prediction with LLM

안영민

An effective method for high dimensional log density ANOVA estimation with application to nonparametric graphical model building

Discretization Privacy Preserving Data Publishing for Causal Discovery

한상문

DDPM: Denoising Diffusion Probabilistic Models

20250806

이관호

Efficient Detection of LLM-generated Texts with a Bayesian

한상문

BIRD

안영민

Bayesian Calibration of Win Rate Estimation with LLM Evaluators

신윤섭

Beyond the Black Box: A Statistical Model for LLM Reasoning and Inference

김찬우

Ensemble Bayesian Inference

이해영

Bayesian reward models for llm alignment

20250708
20250722
20250729

박세현

Reasoning in LLM

김초은

Neural Flow Diffusion Models Learnable Forward Process for Improved Diffusion Modeling

이지후

CBLLMs

이관호

Data Privacy를 위한 데이터 익명화와 비식별화

정한교

Knowledge Graph

정유립

ChatGPT Agent Mode