Sejun Park - RankMe

70 papers A* 18A 2C 2Misc 1Journal 35Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Framework for Personalized Persuasiveness Prediction via Context-Aware User Profiling. CoRR Sejun Park, Yoonah Park, Jongwon Lim, Yohan Jo
2026	J	`jnl`	Mapper-GIN: Lightweight Structural Graph Abstraction for Corrupted 3D Point Cloud Classification. CoRR Jeongbin You, Donggun Kim, Sejun Park, Seungsang Oh
2026	J	`jnl`	On the Expressive Power of Floating-Point Transformers. CoRR Sejun Park, Yeachan Park, Geonho Hwang
2025	J	`jnl`	Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios. CoRR Kihun Hong, Sejun Park, Ganguk Hwang
2025	—	`conf`	Development of Innovative Self-Aligned SSL Mold (SASM) Scheme with Remarkable Reduction of Chip Size. IMW Junyoung Lee, Minkyu Jeong, Sejun Park, Joonam Kim, Joonghyeob Shin, Jongyoon Choi, Jihoon Choi, Byungsoo Kim, Yujeong Seo, Gilsung Lee, Dongsik Lee, Joon Kim, Suk-Kang Sung, Byoungil Lee, Seungwan Hong, Sunghoi Hur
2025	—	`conf`	First Demonstration of Threshold Voltage Modeling in Multi-Hole V-NAND Flash Architecture with Noncircular Channel Hole Profiles. IMW Chanyang Park, Min-Kyu Jeong, Taein Lee, Sejun Park, Jung Hoon Lee, Yujin Lee, Seungwan Hong, Sunghoi Hur
2025	J	`jnl`	Floating-Point Neural Networks Are Provably Robust Universal Approximators. CoRR Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad
2025	A*	`conf`	Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions. ICML Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park
2025	—	`conf`	Floating-Point Neural Networks are Provably Robust Universal Approximators. CAV (2) Geonho Hwang, Wonyeol Lee, Yeachan Park, Sejun Park, Feras Saad
2025	—	`conf`	Innovative V-NAND Flash Structure with Dual Trap Layer for Future Generations of Multi-Bit Device. IMW Jeongyoon Yeo, Joonsung Kim, Younghwan Son, Taein Lee, Sejun Park, Min-Kyu Jeong, Jung Hoon Lee, Suk-Kang Sung, Dongku Kang, Seungwan Hong, Sunghoi Hur
2025	A*	`conf`	Minimum Width for Universal Approximation using Squashable Activation Functions. ICML Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park
2025	J	`jnl`	Minimum width for universal approximation using squashable activation functions. CoRR Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park
2024	A*	`conf`	A Kernel Perspective on Distillation-based Collaborative Learning. NeurIPS Sejun Park, Kihun Hong, Ganguk Hwang
2024	J	`jnl`	A Kernel Perspective on Distillation-based Collaborative Learning. CoRR Sejun Park, Kihun Hong, Ganguk Hwang
2024	J	`jnl`	Expressive Power of ReLU and Step Networks under Floating-Point Operations. CoRR Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park
2024	J	`jnl`	Expressive power of ReLU and step networks under floating-point operations. Neural Networks Yeachan Park, Geonho Hwang, Wonyeol Lee, Sejun Park
2024	J	`jnl`	IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs. CoRR Sejun Park, Joo Young Park, Hyunwoo Park
2024	—	`conf`	Innovative Barrier Metal-Less Metal Gate Scheme Leading to Highly Reliable Cell Characteristics for 8th Generation 512Gb 3D NAND Flash Memory. VLSI Technology and Circuits Hang-Ah Park, Sejun Park, Min-Tai Yu, Ye-Chan Kim, Cheon Ho Park, Jung Hoon Lee, Jun Eon Jin, Dawoon Jeung, Hauk Han, Tai-Soo Lim, Min-Kyu Jeong, Mincheol Park, Bong-Tae Park, Sunghoi Hur
2024	—	`conf`	Mechanical Stress Effects on Dielectric Leakage and Interconnection Integrity in 3D NAND Flash Memory. VLSI Technology and Circuits SeHoon Lee, Jieun Lee, Sungpil Jang, Sujeong Kim, Choelgyu Kim, Narae Jeong Sae-Jin Kim, Jisoo Kang, Juhee Hong, Dong-Kyu Kim, Junhee Lim, Sejun Park, Seungwan Hong, Sunghoi Hur
2024	A*	`conf`	Minimum width for universal approximation using ReLU networks on compact domain. ICLR Namjun Kim, Chanho Min, Sejun Park
2024	J	`jnl`	On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmetic. CoRR Geonho Hwang, Yeachan Park, Sejun Park
2024	J	`jnl`	Sampled-Data-Based Iterative Cost-Learning Model Predictive Control for T-S Fuzzy Systems. IEEE Trans. Syst. Man Cybern. Syst. Seungyong Han, Sejun Park, Sangmoon Lee
2024	—	`conf`	The Measurement Algorithm of the Center of Pressure Based on the Tactile Sensor. IWIS Jaehyeon Baik, Sejun Park, Yunho Choi, Kyung-Joong Kim, Hosu Lee
2024	A*	`conf`	What does automatic differentiation compute for neural networks? ICLR Sejun Park, Sanghyuk Chun, Wonyeol Lee
2023	C	`conf`	Direct Demonstration-Based Imitation Learning and Control for Writing Task of Robot Manipulator. ICCE Sejun Park, Ju Hyun Park, Sangmoon Lee
2023	A*	`conf`	Guiding Energy-based Models via Contrastive Latent Variables. ICLR Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023	J	`jnl`	Guiding Energy-based Models via Contrastive Latent Variables. CoRR Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin
2023	—	`conf`	High Bit Cost Scalability and Reliable Cell Characteristics for 7th Generation 1Tb 4Bit/Cell 3D-NAND Flash. VLSI Technology and Circuits Kyungmoon Kim, Yujeong Seo, Sejun Park, Woojae Jang, Dongho Yoo, Joonsung Lim, Il-Han Park, Jaeduk Lee, Kyungyoon Noh, Sujin Ahn, Sunghoi Hur
2023	J	`jnl`	Minimum width for universal approximation using ReLU networks on compact domain. CoRR Namjun Kim, Chanho Min, Sejun Park
2023	A*	`conf`	Neural Networks Efficiently Learn Low-Dimensional Representations with SGD. ICLR Alireza Mousavi Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu
2023	—	`conf`	Novel Strategies for Highly Uniform and Reliable Cell Characteristics of 8th Generation 1Tb 3D-NAND Flash Memory. VLSI Technology and Circuits Changhwan Lee, Min-Tai Yu, Sejun Park, Hoki Lee, Bio Kim, Suhwan Lim, Jaeduk Lee, Sung-Hun Lee, Mincheol Park, Sujin Ahn, Sunghoi Hur
2023	A*	`conf`	On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters. ICML Wonyeol Lee, Sejun Park, Alex Aiken
2023	J	`jnl`	On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters. CoRR Wonyeol Lee, Sejun Park, Alex Aiken
2023	—	`conf`	Process Improvements for 7 IMW Soochan Chung, Dong-Hyeon Ko, Joonsung Lim, Kyungmoon Kim, Sejie Takaki, Yujeong Seo, Byoungil Lee, Sejun Park, Jaeduk Lee, Kyungyoon Noh, Sujin Ahn, Sunghoi Hur
2023	C	`conf`	Status Regain and Validator Performance: Evidence from Blockchain Platform. ICIS Sejun Park, Alain Pinsonneault, Warut Khern-am-nuai
2023	A*	`conf`	Towards Understanding Ensemble Distillation in Federated Learning. ICML Sejun Park, Kihun Hong, Ganguk Hwang
2022	A*	`conf`	Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-Covers. NeurIPS Sejun Park, Umut Simsekli, Murat A. Erdogdu
2022	J	`jnl`	Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers. CoRR Sejun Park, Umut Simsekli, Murat A. Erdogdu
2022	J	`jnl`	Neural Networks Efficiently Learn Low-Dimensional Representations with SGD. CoRR Alireza Mousavi Hosseini, Sejun Park, Manuela Girotti, Ioannis Mitliagkas, Murat A. Erdogdu
2022	J	`jnl`	Path Loss Model Based on Machine Learning Using Multi-Dimensional Gaussian Process Regression. IEEE Access Ki Joung Jang, Sejun Park, Junseok Kim, Youngkeun Yoon, Chung-Sup Kim, Young-Jun Chong, Ganguk Hwang
2021	A*	`conf`	Layer-adaptive Sparsity for the Magnitude-based Pruning. ICLR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2021	A*	`conf`	Minimum Width for Universal Approximation. ICLR Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
2021	A*	`conf`	Provable Memorization via Deep Neural Networks using Sub-linear Parameters. COLT Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
2021	A*	`conf`	SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. NeurIPS Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
2021	J	`jnl`	SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. CoRR Jongheon Jeong, Sejun Park, Minkyu Kim, Heung-Chang Lee, Do-Guk Kim, Jinwoo Shin
2020	J	`jnl`	A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
2020	A*	`conf`	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	J	`jnl`	Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
2020	A*	`conf`	Learning Bounds for Risk-sensitive Learning. NeurIPS Jaeho Lee, Sejun Park, Jinwoo Shin
2020	J	`jnl`	Learning Bounds for Risk-sensitive Learning. CoRR Jaeho Lee, Sejun Park, Jinwoo Shin
2020	J	`jnl`	Learning With End-Users in Distribution Grids: Topology and Parameter Estimation. IEEE Trans. Control. Netw. Syst. Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2020	A*	`conf`	Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020	J	`jnl`	Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin
2020	J	`jnl`	Minimum Width for Universal Approximation. CoRR Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin
2020	J	`jnl`	Provable Memorization via Deep Neural Networks using Sub-linear Parameters. CoRR Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin
2019	A*	`conf`	Spectral Approximate Inference. ICML Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2019	J	`jnl`	Spectral Approximate Inference. CoRR Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
2018	Misc	`conf`	Learning in Power Distribution Grids under Correlated Injections. ACSSC Sejun Park, Deepjyoti Deka, Michael Chertkov
2018	J	`jnl`	Learning with End-Users in Distribution Grids: Topology and Parameter Estimation. CoRR Sejun Park, Deepjyoti Deka, Scott Backhaus, Michael Chertkov
2018	J	`jnl`	Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin
2017	J	`jnl`	Convergence and Correctness of Max-Product Belief Propagation for Linear Programming. SIAM J. Discret. Math. Sejun Park, Jinwoo Shin
2017	J	`jnl`	Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability. CoRR Sejun Park, Deepjyoti Deka, Michael Chertkov
2017	A	`conf`	Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. AISTATS Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda
2017	J	`jnl`	Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. CoRR Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda
2017	J	`jnl`	Sequential Local Learning for Latent Graphical Models. CoRR Sejun Park, Eunho Yang, Jinwoo Shin
2015	A	`conf`	Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization. UAI Sejun Park, Jinwoo Shin
2015	—	`conf`	Minimum Weight Perfect Matching via Blossom Belief Propagation. NIPS Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015	J	`jnl`	Minimum Weight Perfect Matching via Blossom Belief Propagation. CoRR Sungsoo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin
2015	—	`conf`	Practical message-passing framework for large-scale combinatorial optimization. IEEE BigData Inho Cho, Soya Park, Sejun Park, Dongsu Han, Jinwoo Shin
2014	J	`jnl`	Max-Product Belief Propagation for Linear Programming: Convergence and Correctness. CoRR Sejun Park, Jinwoo Shin