Sungyoon Kim

16 papers A* 4Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs.
CoRR
Rajat Vadiraj Dwaraknath, Sungyoon Kim, Mert Pilanci
2026 J jnl
Optimal Scalar Quantization for Matrix Multiplication: Closed-Form Density and Phase Transition.
CoRR
Calvin Ang, Sungyoon Kim, Mert Pilanci
2025 A* conf
Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality.
ICLR
Sungyoon Kim, Aaron Mishkin, Mert Pilanci
2025 J jnl
Hard-Negative Prototype-Based Regularization for Few-Shot Class-Incremental Learning.
Trans. Mach. Learn. Res.
Seongbeom Park, Hyunju Yun, Daewon Chae, Sungyoon Kim, Suhong Moon, Minwoo Kang, Seunghyun Park, Jinkyu Kim
2025 J jnl
MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search.
CoRR
Sungyoon Kim, Rajat Vadiraj Dwaraknath, Longling Geng, Mert Pilanci
2024 A* conf
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time.
ICML
Sungyoon Kim, Mert Pilanci
2024 J jnl
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time.
CoRR
Sungyoon Kim, Mert Pilanci
2024 J jnl
Exploring the loss landscape of regularized neural networks via convex duality.
CoRR
Sungyoon Kim, Aaron Mishkin, Mert Pilanci
2024 J jnl
LaDiMo: Layer-wise Distillation Inspired MoEfier.
CoRR
Sungyoon Kim, Youngjun Kim, Kihyo Moon, Minsung Jang
2024 J jnl
Randomized Geometric Algebra Methods for Convex Neural Networks.
CoRR
Yifei Wang, Sungyoon Kim, Paul Chu, Indu Subramaniam, Mert Pilanci
2024 J jnl
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL.
CoRR
Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-Eung Kim
2024 A* conf
Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL.
AAAI
Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-Eung Kim
2024 — conf
Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning.
ICPR (9)
Seongbeom Park, Haeji Jung, Daewon Chae, Hyunju Yun, Sungyoon Kim, Suhong Moon, Jinkyu Kim, Seunghyun Park
2023 A* conf
Information-Theoretic State Space Model for Multi-View Reinforcement Learning.
ICML
HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
2023 — conf
Isotropic Representation Can Improve Dense Retrieval.
PAKDD (3)
Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee
2022 J jnl
Isotropic Representation Can Improve Dense Retrieval.
CoRR
Euna Jung, Jungwon Park, Jaekeol Choi, Sungyoon Kim, Wonjong Rhee