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ORCIDWonseok Jeon
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2020 – today
- 2024
[i13]Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott:
Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement. CoRR abs/2402.14160 (2024)- [i12]Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott:
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs. CoRR abs/2403.00858 (2024) - [i11]Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott:
On Speculative Decoding for Multimodal Large Language Models. CoRR abs/2404.08856 (2024) - [i10]Sudhanshu Agrawal, Wonseok Jeon, Mingu Lee:
AdaEDL: Early Draft Stopping for Speculative Decoding of Large Language Models via an Entropy-based Lower Bound on Token Acceptance Probability. CoRR abs/2410.18351 (2024) - [i9]Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi:
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control. CoRR abs/2412.01034 (2024) - 2023
- [c16]Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott:
Neural DAG Scheduling via One-Shot Priority Sampling. ICLR 2023 - 2022
- [c15]Geon-Hyeong Kim, Seokin Seo, Jongmin Lee, Wonseok Jeon, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim:
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations. ICLR 2022 - [c14]Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi:
Neural Topological Ordering for Computation Graphs. NeurIPS 2022 - [c13]Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim:
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. NeurIPS 2022 - [i8]Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan:
Neural Topological Ordering for Computation Graphs. CoRR abs/2207.05899 (2022) - [i7]Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee
, Yung-Kyun Noh, Kee-Eung Kim:
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions. CoRR abs/2210.13373 (2022) - 2021
- [c12]Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau:
Regularized Inverse Reinforcement Learning. ICLR 2021 - [c11]Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. ICML 2021: 6120-6130 - [i6]Jongmin Lee, Wonseok Jeon, Byung-Jun Lee, Joelle Pineau, Kee-Eung Kim:
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation. CoRR abs/2106.10783 (2021) - 2020
- [c10]Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim:
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients. AAAI 2020: 4561-4568 - [c9]Wooseok Rol, Wonseok Jeon, Hamid Bamshad, Hyunseok Yang:
Reinforcement Learning with Converging Goal Space and Binary Reward Function. CASE 2020: 921-927 - [c8]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Chris Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. NeurIPS 2020 - [i5]Wonseok Jeon, Paul Barde, Derek Nowrouzezahrai, Joelle Pineau:
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic. CoRR abs/2002.10525 (2020) - [i4]Paul Barde, Julien Roy, Wonseok Jeon, Joelle Pineau, Christopher J. Pal, Derek Nowrouzezahrai:
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization. CoRR abs/2006.13258 (2020) - [i3]Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau:
Regularized Inverse Reinforcement Learning. CoRR abs/2010.03691 (2020)
2010 – 2019
- 2019
- [c7]Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim:
Trust Region Sequential Variational Inference. ACML 2019: 1033-1048 - 2018
- [j1]Wonseok Jeon, Sae-Young Chung:
Capacity of Continuous-Space Electromagnetic Channels With Lossy Transceivers. IEEE Trans. Inf. Theory 64(3): 1977-1991 (2018) - [c6]Wonseok Jeon, Seokin Seo, Kee-Eung Kim:
A Bayesian Approach to Generative Adversarial Imitation Learning. NeurIPS 2018: 7440-7450 - [c5]Wonseok Jeon, Kyungchan Son, Jaegak Lee, Hyemi Jeong, Hyunseok Yang:
Design, Modeling and Optimal Control Strategy for an Under-Actuated Anthropomorphic Robotic Finger. ROBIO 2018: 39-44 - 2017
- [c4]Junseok Lee, Wonseok Jeon, Youngsu Cha, Hyunseok Yang:
Automatic page-turning mechanism with near-field electroadhesive force for linearly correctable imaging. IROS 2017: 279-285 - 2016
- [i2]Wonseok Jeon, Sae-Young Chung:
Capacity of Continuous-Space Electromagnetic Channels with Lossy Transceiver. CoRR abs/1606.05720 (2016) - 2015
- [c3]Wonseok Jeon, Sae-Young Chung:
Interference mitigation utilizing antenna mutual coupling. ACSSC 2015: 30-34 - [c2]Wonseok Jeon, Sae-Young Chung:
Improving degrees of freedom of wireless channels using superdirectivity. ISIT 2015: 2999-3003 - 2013
- [c1]Wonseok Jeon, Sae-Young Chung:
The capacity of wireless channels: A physical approach. ISIT 2013: 3045-3049 - [i1]Wonseok Jeon, Sae-Young Chung:
The Capacity of Wireless Channels: A Physical Approach. CoRR abs/1301.6956 (2013)
Coauthor Index
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