Kim, Hyeji

20 publications

ICLR 2025 Attention with Markov: A Curious Case of Single-Layer Transformers Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar

NeurIPS 2025 Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks Heasung Kim, Taekyun Lee, Hyeji Kim, Gustavo De Veciana

ICMLW 2024 Attention with Markov: A Curious Case of Single-Layer Transformers Ashok Vardhan Makkuva, Marco Bondaschi, Alliot Nagle, Adway Girish, Hyeji Kim, Martin Jaggi, Michael Gastpar

ICML 2024 Clustered Federated Learning via Gradient-Based Partitioning Heasung Kim, Hyeji Kim, Gustavo De Veciana

ICML 2024 DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning S Ashwin Hebbar, Sravan Kumar Ankireddy, Hyeji Kim, Sewoong Oh, Pramod Viswanath

NeurIPS 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim

ICMLW 2024 Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models Adway Girish, Alliot Nagle, Ashok Vardhan Makkuva, Marco Bondaschi, Michael Gastpar, Hyeji Kim

ICML 2024 LASER: Linear Compression in Wireless Distributed Optimization Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar

NeurIPS 2024 Local to Global: Learning Dynamics and Effect of Initialization for Transformers Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar

ICMLW 2024 Local to Global: Learning Dynamics and Effect of Initialization for Transformers Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar

NeurIPS 2024 Neural Cover Selection for Image Steganography Karl Chahine, Hyeji Kim

NeurIPSW 2023 LASER: Linear Compression in Wireless Distributed Optimization Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels, Martin Jaggi, Hyeji Kim, Michael Gastpar

NeurIPS 2023 Task-Aware Distributed Source Coding Under Dynamic Bandwidth Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep Chinchali, Hyeji Kim

ICMLW 2023 Task-Aware Distributed Source Coding Under Dynamic Bandwidth Po-han Li, Sravan Kumar Ankireddy, Ruihan Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari, Ufuk Topcu, Sandeep P. Chinchali, Hyeji Kim

NeurIPS 2020 BRP-NAS: Prediction-Based NAS Using GCNs Lukasz Dudziak, Thomas Chau, Mohamed Abdelfattah, Royson Lee, Hyeji Kim, Nicholas Lane

ECCV 2020 Journey Towards Tiny Perceptual Super-Resolution Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane

NeurIPS 2019 Turbo Autoencoder: Deep Learning Based Channel Codes for Point-to-Point Communication Channels Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

ICLR 2018 Communication Algorithms via Deep Learning Hyeji Kim, Yihan Jiang, Ranvir B. Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2018 Deepcode: Feedback Codes via Deep Learning Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

NeurIPS 2017 Discovering Potential Correlations via Hypercontractivity Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath