관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness
Baekrok Shin, Chulhee Yun
KAIST윤철희
Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
Beomhan Baek, Minhak Song, Chulhee Yun
KAIST윤철희
Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
Chaewon Moon, Dongkuk Si, Chulhee Yun
KAIST윤철희
Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences
Junghyun Lee, Minju Hong, Kwang-Sung Jun, Chulhee Yun, Se-Young Yun
KAIST윤철희
A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
Moongyu Jeon, Sangwoo Shin, Bumjun Kim, Kyelim Lee, Albert No
Yonsei노승문
An Information Theoretic Evaluation Metric For Strong Unlearning
Dongjae Jeon, Wonje Jeung, Taeheon Kim, Albert No, Jonghyun Choi
Yonsei노승문
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
C. Lee, J. Sohn, K. Lee
Yonsei손지용
BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone
Doojin Baek, Junyeob Baek, Mingyu Jo, Hosung Lee, Taegu Kang, Gyubin Lee, Sungjin Ahn
KAIST안성진
Learning to Theorize the World from Observation
Doojin Baek, Gyubin Lee, Junyeob Baek, Hosung Lee, Sungjin Ahn
KAIST안성진
PICTURE: Enhancing Theory-of-Mind in Large Language Models by Revealing, Not Hiding, Characters’ Lack of Knowledge
Eojin Jeon, SangKeun Lee
KU이상근
TimeSeg: An Information-Theoretic Segment-Wise Explainer for Time-Series Predictions
Hwijin Kim, Jaeho Kim, Changhee Lee
KU이창희
PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
Minjun Park, Donghyun Kim, Hyeonjong Ju, Seungwon Lim, Dongwook Choi, Taeyoon Kwon, Minju Kim, Jinyoung Yeo
Yonsei여진영
Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language
Seungbeen Lee, Jinhong Jeong, Donghyun Kim, Yejin Son, Youngjae Yu
SNU유영재
Semantic Evaluation Metric Conforming to AMR Theory (SEMCAT): a New Similarity Metric for Abstract Meaning Representation
Kyung Seo Ki, Bugeun Kim & Gahgene Gweon
SNU권가진
Bridging the Gap between Theory of Mind and Action in LLMs
Sehyeok Kang, Jihwan Oh, Se-Young Yun
KAIST윤세영
What are the Right Symmetries for Formal Theorem Proving?
Krzysztof Olejniczak, Radoslav Dimitrov, Xingyue Huang, Bernardo Cuenca Grau, Jinwoo Kim†, İsmail İlkan Ceylan†
KAIST홍승훈
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
Hyunji Jung, Hanseul Cho, Chulhee Yun
KAIST윤철희
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
Junsoo Oh, Jerry Song, Chulhee Yun
KAIST윤철희
Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent
Donghwa Kim, Jaewook Lee, Chulhee Yun
KAIST윤철희
Floating-Point Neural Networks Are Provably Robust Universal Approximators
Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad
KU박세준
Minimum Width for Universal Approximation using Squashable Activation Functions
Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park
KU박세준
Information-Theoretic Discrete Diffusion
Moongyu Jeon, Sangwoo Shin, Dongjae Jeon, Albert No
Yonsei노승문
High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn
POSTECH김동우, 옥정슬, 박상돈, 박은혁
Towards Bridging Generalization and Expressivity of Graph Neural Networks
Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang
POSTECH김동우, 옥정슬, 박상돈, 박은혁
Multi-objective reinforcement learning with max-min criterion: A game-theoretic approach
Woohyeon Byeon, Giseung Park, Jongseong Chae, Amir Leshem and Youngchul Sung
KAIST성영철
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
Dongyoon Yang, Jihu Lee, Yongdai Kim
SNU김용대