*: equal contribution, †: equal advising
Self-Conditioned Flow Map Language Models via Fixed-Point Flows
Jaehoon Yoo*, Wonjung Kim*, Floor Eijkelboom, Chanhyuk Lee, Nicholas M. Boffi,
Seunghoon Hong†, Jinwoo Kim†
Under review
Posterior Refinement: Fast Language Generation via Any-Order Flow Maps
Manan Agarwal*, Sheel Shah*, Chanhyuk Lee, Jaehoon Yoo, Jerry Huang, Seunghoon Hong, Aditi Raghunathan,
Jinwoo Kim†, Nicholas M. Boffi†
arXiv, 2026
paper code
What are the Right Symmetries for Formal Theorem Proving?
Krzysztof Olejniczak, Radoslav Dimitrov, Xingyue Huang, Bernardo Cuenca Grau,
Jinwoo Kim†, İsmail İlkan Ceylan†
ICML AI4Math Workshop, 2026
paper code
Multi-view Relational Distillation for Spatial Reasoning with Vision-Language Models
Kiet T. Nguyen, Hanbo Shim, Jinwoo Kim†, Seunghoon Hong†
Under review
RelAgent: LLM Agents as Data Scientists for Relational Learning
Xingyue Huang, Louis Tichelman, Jinwoo Kim, Krzysztof Olejniczak, İsmail İlkan Ceylan
ICML GFM Workshop, 2026
paper
Inverting Data Transformations via Diffusion Sampling
Jinwoo Kim*, Sékou-Oumar Kaba*, Jiyun Park, Seunghoon Hong†, Siamak
Ravanbakhsh†
ICML, 2026
paper code
Flow Map Language Models: One-step Language Modeling via Continuous Denoising
Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal, Sheel Shah, Jerry Huang, Aditi Raghunathan, Seunghoon Hong,
Nicholas M. Boffi†, Jinwoo Kim†
arXiv, 2026
paper code
blog
MUX: Continuous Reasoning via Multiplexed Tokens
Ayhan Suleymanzade, Halil Alperen Gozeten, Michael Bronstein, İsmail İlkan Ceylan†,
Jinwoo Kim†
ICLR LLM Reasoning Workshop, 2026
paper code
Architecture-Agnostic Invariances for Deep Learning
Jinwoo Kim
Ph.D. Dissertation, 2026. KAIST CoE Best Dissertation Award
pdf
Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
Jinwoo Kim*, Xingyue Huang*, Krzysztof Olejniczak, Kyungbin Min, Michael Bronstein, Seunghoon Hong, İsmail
İlkan Ceylan
ICLR, 2026
paper [code
Sequence Modeling with Spectral Mean Flows
Jinwoo Kim, Max Beier, Petar Bevanda, Nayun Kim, Seunghoon Hong
NeurIPS, 2025
paper [code
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim, Olga Zaghen*, Ayhan Suleymanzade*, Youngmin Ryou, Seunghoon Hong
ICLR, 2025. Spotlight (380/11672=3.26%)
ICML GRaM Workshop, 2024. ELLIS Mobility Grant
paper code
poster
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae
Lee
AAAI, 2025. Oral
paper
Simulation-Free Training of Neural ODEs on Paired Data
Semin Kim*, Jaehoon Yoo*, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
NeurIPS, 2024
paper code
Learning Symmetrization for Equivariance with Orbit Distance Minimization
Tien Dat Nguyen*, Jinwoo Kim*, Hongseok Yang, Seunghoon Hong
NeurIPS NeurReps Workshop, 2023
paper code poster
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
NeurIPS, 2023. Spotlight (378/12345=3.06%)
paper code poster slides
extended
slides
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
ICLR, 2023. Outstanding Paper Award (4/4955=0.08%)
Silver Prize, Samsung Humantech Paper Award, 2023
paper code
Pure Transformers are Powerful Graph Learners
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee†, Seunghoon
Hong†
NeurIPS, 2022
paper code talk poster slides
extended
slides
Transformers Meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
NeurIPS, 2022
paper code
poster
Equivariant Hypergraph Neural Networks
Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
ECCV, 2022
paper code poster slides
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
NeurIPS, 2021
Qualcomm Innovation Fellowship Korea, 2021
paper code poster slides
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Jinwoo Kim*, Jaehoon Yoo*, Juho Lee, Seunghoon Hong
CVPR, 2021
paper code project page poster slides
Spontaneous Retinal Waves Can Generate Long-Range Horizontal Connectivity in Visual Cortex
Jinwoo Kim*, Min Song*, Jaeson Jang, Se-Bum Paik
The Journal of Neuroscience 40(34), 2020
paper