Jaesik Choi

CoRR, 2024

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings.

[BibT_eX]

[DOI]

Jihyeon Seong

Jungmin Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision.

[BibT_eX]

[DOI]

Wonjoon Chang

Dahee Kwon

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.

[BibT_eX]

[DOI]

CoRR, 2023

CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports.

[BibT_eX]

[DOI]

CoRR, 2023

The Disharmony Between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation Between Activations.

[BibT_eX]

[DOI]

Inyoung Paik

CoRR, 2023

Stress and Adaptation: Applying Anna Karenina Principle in Deep Learning for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans.

[BibT_eX]

[DOI]

Kyowoon Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Algorithmic Read Resistance Trim for Improving Yield and Reducing Test Time in MRAM.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Test Conference, 2023

Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Kyowoon Lee

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills.

[BibT_eX]

[DOI]

Kyowoon Lee

Proceedings of the International Conference on Machine Learning, 2023

Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling.

[BibT_eX]

[DOI]

Giyoung Jeon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SigFormer: Signature Transformers for Deep Hedging.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Explainable AI-Based Interface System for Weather Forecasting Model.

[BibT_eX]

[DOI]

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

Impact of Co-occurrence on Factual Knowledge of Large Language Models.

[BibT_eX]

[DOI]

Cheongwoong Kang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CR-COPEC: Causal Rationale of Corporate Performance Changes to learn from Financial Reports.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Scheduling PID Attitude and Position Control Frequencies for Time-Optimal Quadrotor Waypoint Tracking under Unknown External Disturbances.

[BibT_eX]

[DOI]

Cheongwoong Kang

Bumjin Park

Sensors, 2022

Explanation on Pretraining Bias of Finetuned Vision Transformer.

[BibT_eX]

[DOI]

Bumjin Park

CoRR, 2022

Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?

[BibT_eX]

[DOI]

CoRR, 2022

On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

Variational Neural Temporal Point Process.

[BibT_eX]

[DOI]

Deokjun Eom

Sehyun Lee

CoRR, 2022

Learning Fractional White Noises in Neural Stochastic Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network.

[BibT_eX]

[DOI]

Giyoung Jeon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Can We Find Neurons that Cause Unrealistic Images in Deep Generative Networks?

[BibT_eX]

[DOI]

Hwanil Choi

Wonjoon Chang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks.

[BibT_eX]

[DOI]

Jiyeon Han

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Explaining the Decisions of Deep Policy Networks for Robotic Manipulations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Conditional Temporal Neural Processes with Covariance Loss.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic Correction of Internal Units in Generative Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations.

[BibT_eX]

[DOI]

Woo-Jeoung Nam

Seong-Whan Lee

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Units.

[BibT_eX]

[DOI]

Sohee Cho

Ginkyeng Lee

CoRR, 2020

HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism.

[BibT_eX]

[DOI]

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Single Multi-Task Deep Neural Network with Post-Processing for Object Detection with Reasoning and Robotic Grasp Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Improved predictive deep temporal neural networks with trend filtering.

[BibT_eX]

[DOI]

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks.

[BibT_eX]

[DOI]

Giyoung Jeon

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

XAI - Explainable artificial intelligence.

[BibT_eX]

[DOI]

Sci. Robotics, 2019

Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks.

[BibT_eX]

[DOI]

Thanh T. Nguyen

Entropy, 2019

IDEALEM: Statistical Similarity Based Data Reduction.

[BibT_eX]

[DOI]

CoRR, 2019

Why Do Masked Neural Language Models Still Need Common Sense Knowledge?

[BibT_eX]

[DOI]

CoRR, 2019

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks.

[BibT_eX]

[DOI]

Woo-Jeoung Nam

Seong-Whan Lee

CoRR, 2019

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Discovering Latent Covariance Structures for Multiple Time Series.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Predicting baseline for analysis of electricity pricing.

[BibT_eX]

[DOI]

Int. J. Big Data Intell., 2018

Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning the Group Structure of Deep Neural Networks with an Expectation Maximization Method.

[BibT_eX]

[DOI]

Subin Yi

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Dynamic Online Performance Optimization in Streaming Data Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck.

[BibT_eX]

[DOI]

Thanh T. Nguyen

CoRR, 2017

Grouped Convolutional Neural Networks for Multivariate Time Series.

[BibT_eX]

[DOI]

CoRR, 2017

Automatic Decomposition of Self-Triggering Kernels of Hawkes Processes.

[BibT_eX]

[DOI]

Rafael Lima

CoRR, 2017

UNIST SAIL System for TAC 2017 Cold Start Slot Filling.

[BibT_eX]

[DOI]

Proceedings of the 2017 Text Analysis Conference, 2017

Improving Statistical Similarity Based Data Reduction for Non-Stationary Data.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Learning Execution Contexts from System Call Distribution for Anomaly Detection in Smart Embedded System.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2017 Data Compression Conference, 2017

2016

A Robot Learning to Play a Mobile Game Under Unknown Dynamics.

[BibT_eX]

[DOI]

Wonjun Yoon

Sol-A. Kim

CoRR, 2016

Searching for Topological Symmetry in Data Haystack.

[BibT_eX]

[DOI]

Kallol Roy

CoRR, 2016

Improving Imprecise Compressive Sensing Models.

[BibT_eX]

[DOI]

Rafael Lima

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

SAIL (UNIST) team Participation in KBP 2016 Cold-Start Slot filling.

[BibT_eX]

[DOI]

Proceedings of the 2016 Text Analysis Conference, 2016

Novel Data Reduction Based on Statistical Similarity.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016

Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series.

[BibT_eX]

[DOI]

Yunseong Hwang

Proceedings of the 33nd International Conference on Machine Learning, 2016

Global Deconvolutional Networks for Semantic Segmentation.

[BibT_eX]

[DOI]

Vladimir Nekrasov

Janghoon Ju

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Semi-Local Structure Patterns for Robust Face Detection.

[BibT_eX]

[DOI]

Kyungjoong Jeong

Gil-Jin Jang

IEEE Signal Process. Lett., 2015

Intrusion Detection Using Execution Contexts Learned from System Call Distributions of Real-Time Embedded Systems.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Dynamic Compressive Sensing Models.

[BibT_eX]

[DOI]

CoRR, 2015

The Automatic Statistician: A Relational Perspective.

[BibT_eX]

[DOI]

Yunseong Hwang

CoRR, 2015

Extracting Baseline Electricity Usage Using Gradient Tree Boosting.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Learning Compressive Sensing Models for Big Spatio-Temporal Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

A Deterministic Partition Function Approximation for Exponential Random Graph Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Reading Documents for Bayesian Online Change Point Detection.

[BibT_eX]

[DOI]

Taehoon Kim

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Memory heat map: anomaly detection in real-time embedded systems using memory behavior.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Design Automation Conference, 2015

Learning Relational Kalman Filtering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Low-complexity compressive sensing with downsampling.

[BibT_eX]

[DOI]

Heonshik Shin

IEICE Electron. Express, 2014

Low complexity sensing for big spatio-temporal data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Parameter Estimation for Relational Kalman Filtering.

[BibT_eX]

[DOI]

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

A spatio-temporal pyramid matching for video retrieval.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2013

SecureCore: A multicore-based intrusion detection architecture for real-time embedded systems.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE Real-Time and Embedded Technology and Applications Symposium, 2013

Fast Change Point Detection for electricity market analysis.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Lifted Inference on Transitive Relations.

[BibT_eX]

[DOI]

Wen Pu

Proceedings of the Statistical Relational Artificial Intelligence, 2013

2012

Lifted Inference for Relational Hybrid Models

[BibT_eX]

[DOI]

PhD thesis, 2012

Lifted Relational Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Nonparametric Relational Hybrid Models.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

2011

Lifted Relational Kalman Filtering.

[BibT_eX]

[DOI]

Abner Guzmán-Rivera

Proceedings of the IJCAI 2011, 2011

Efficient Methods for Lifted Inference with Aggregate Factors.

[BibT_eX]

[DOI]

Rodrigo de Salvo Braz

Hung Hai Bui

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Lifted Inference for Relational Continuous Models.

[BibT_eX]

[DOI]

David J. Hill

Proceedings of the UAI 2010, 2010

Combining Planning and Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Robotics, 21.02. - 26.02.2010, 2010

2009

Safe Navigation of a Mobile Robot Considering Visibility of Environment.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2009

Greedy Algorithms for Sequential Sensing Decisions.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

2008

Spatio-temporal pyramid matching for sports videos.

[BibT_eX]

[DOI]

Won J. Jeon

Sang-Chul Lee

Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2007

Factor-guided motion planning for a robot arm.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006

Factored Planning for Controlling a Robotic Arm.

[BibT_eX]

[DOI]