29 citations · 59 across the 8 of their papers we have counts for
8 papers
Ludi: An Agentic System for Socially Intelligent Robots
Wooseong Chung, William Cong, Jakub Dworakowski +14
Robot foundation models have substantially advanced perception and control, but natural human-robot collaboration requires more than executing isolated commands. A robot must recog…
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
Jinuk Kim, Yeonwoo Jeong, Deokjae Lee +1
Recent works on neural network pruning advocate that reducing the depth of the network is more effective in reducing run-time memory usage and accelerating inference latency than r…
Efficient Liquidity Providing via Margin Liquidity
Yeonwoo Jeong, Chanyoung Jeoung, Hosan Jeong +2
The limit order book mechanism has been the core trading mechanism of the modern financial market. In the cryptocurrency market, centralized exchanges also adopt this limit order b…
Optimal channel selection with discrete QCQP
Yeonwoo Jeong, Deokjae Lee, Gaon An +2
Reducing the high computational cost of large convolutional neural networks is crucial when deploying the networks to resource-constrained environments. We first show the greedy ap…
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong, Hyun Oh Song
We address the problem of unsupervised disentanglement of discrete and continuous explanatory factors of data. We first show a simple procedure for minimizing the total correlation…
End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
We develop hierarchically quantized efficient embedding representations for similarity-based search and show that this representation provides not only the state of the art perform…
EMI: Exploration with Mutual Information
Hyoungseok Kim, Jaekyeom Kim, Yeonwoo Jeong +2
Reinforcement learning algorithms struggle when the reward signal is very sparse. In these cases, naive random exploration methods essentially rely on a random walk to stumble onto…
Efficient end-to-end learning for quantizable representations
Yeonwoo Jeong, Hyun Oh Song
Embedding representation learning via neural networks is at the core foundation of modern similarity based search. While much effort has been put in developing algorithms for learn…