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Kyunghyun Cho — all works

483 works · page 5 of 5 · 401–483 · ← Kyunghyun Cho

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  1. On the Relationship Between the Choice of Representation and In-Context Learning ↗arXiv (Cornell University) · no summary yetIoana M. Marinescu, Kyunghyun Cho, Eric Karl Oermann2025
  2. Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme ↗arXiv (Cornell University) · no summary yetRudy Morel et al.2025
  3. Efficient semantic uncertainty quantification in language models via diversity-steered sampling ↗neural information processing systems · no summary yetJi Won Park, Kyunghyun Cho2025
  4. Iterative Large Language Model–Guided Sampling and Expert-Annotated Benchmark Corpus for Harmful Suicide Content Detection: Development and Validation Study ↗JMIR Medical Informatics · no summary yetKyumin Park et al.2025
  5. Iterative LLM-Guided Sampling and Expert-annotated Benchmark Corpus for Harmful Suicide Content Detection (Preprint) ↗no summary yetKyumin Park et al.2025
  6. Generative property enhancer: implicit guided generation through conditional density estimation ↗neural information processing systems · no summary yetPedro O. Pinheiro et al.2025
  7. Foundation Models for Clinical Records at Health System Scale ↗arXiv (Cornell University) · no summary yetHaresh Rengaraj Rajamohan et al.2025
  8. IDENTIFYING SYSTEMATIC LABELING INCONSISTENCIES IN KNEE OSTEOARTHRITIS GRADING DATASETS ↗Osteoarthritis and Cartilage · no summary yetHaresh Rengaraj Rajamohan et al.2025
  9. Reinforcement Learning with Non-Exponential Discounting ↗Technischen Universität Darmstadt · no summary yetMatthias Schultheis et al.2025
  10. Training Dynamics of Learning 3D-Rotational Equivariance ↗arXiv:2512.02303 · no summary yetMax W. Shen et al.2025
  11. Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning ↗arXiv (Cornell University) · no summary yetJeff Shen et al.2025
  12. Property Enhancer – a data efficient multi-objective approach for functional antibody optimization ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetNataša Tagasovska et al.2025
  13. Let's Go Shopping (LGS) — Web-Scale Image-Text Dataset for Visual Concept Understanding ↗arXiv (Cornell University) · no summary yetYatong Bai et al.2024
  14. Generalization Measures for Zero-Shot Cross-Lingual Transfer ↗Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024) · no summary yetSaksham Bassi, Duygu Ataman, Kyunghyun Cho2024
  15. Denoising AutoEncoder as a Pre-processor for Knee MRI Analysis ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetShengjia Chen et al.2024
  16. Estimation of Time-to-Total Knee Replacement Surgery with Deep Learning using MRI and Clinical Data ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetOzkan Cigdem et al.2024
  17. Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization ↗arXiv (Cornell University) · no summary yetLee, Deokjae, Hyun Oh Song, Kyunghyun Cho2024
  18. Additional file 1 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗Figshare · no summary yetClaudia Skok Gibbs et al.2024
  19. Additional file 2 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗Figshare · no summary yetClaudia Skok Gibbs et al.2024
  20. Additional file 3 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗Figshare · no summary yetClaudia Skok Gibbs et al.2024
  21. Additional file 4 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗Figshare · no summary yetClaudia Skok Gibbs et al.2024
  22. Additional file 5 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗Figshare · no summary yetClaudia Skok Gibbs et al.2024
  23. Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing ↗arXiv (Cornell University) · no summary yetAndreas Loukas et al.2024
  24. Predicting Total Knee Replacement Surgery Using Radiomic Features Extracted from MRI Scans ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetEros Montin et al.2024
  25. Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms ↗arXiv (Cornell University) · no summary yetStanton, Samuel et al.2024
  26. X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2024
  27. MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging ↗arXiv (Cornell University) · no summary yetChaojie Zhang et al.2024
  28. Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy ↗arXiv (Cornell University) · no summary yetCheolhyoung Lee, Kyunghyun Cho2023
  29. Blind Biological Sequence Denoising with Self-Supervised Set Learning ↗arXiv (Cornell University) · no summary yetNg, Nathan et al.2023
  30. Dual Learning for Large Vocabulary On-Device ASR ↗IEEE Spoken Language Technology Workshop (SLT) · no summary yetCal Peyser et al.2023
  31. RiskForm: A novel risk formulation to improve progressive disease outcome prediction ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetHaresh Rengaraj Rajamohan et al.2023
  32. Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yetZihao Yang et al.2023
  33. Total Knee Replacement Prediction using Twin Class Distribution Estimation ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetChaojie Zhang et al.2023
  34. Automated Protein Function Description for Novel Class Discovery ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetMeet Barot et al.2022
  35. A Non-monotonic Self-terminating Language Model ↗arXiv (Cornell University) · no summary yetChoi, Eugene, Kyunghyun Cho, Cheolhyoung Lee2022
  36. Causal Scene BERT: Improving object detection by searching for challenging groups of data ↗arXiv (Cornell University) · no summary yetCinjon Resnick et al.2022
  37. Prediction of Total Knee Replacement using Vision Transformers ↗Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · no summary yetChaojie Zhang et al.2022
  38. Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery ↗arXiv (Cornell University) · no summary yetAnnika Brundyn et al.2021
  39. Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning ↗arXiv (Cornell University) · no summary yetWhitney, William F. et al.2021
  40. AAVAE: Augmentation-Augmented Variational Autoencoders. ↗arXiv (Cornell University) · no summary yetWilliam Falcon et al.2021
  41. Mode recovery in neural autoregressive sequence modeling ↗Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021) · no summary yetIlia Kulikov, Sean Welleck, Kyunghyun Cho2021
  42. Self-Supervised Equivariant Scene Synthesis from Video ↗arXiv (Cornell University) · no summary yetCinjon Resnick et al.2021
  43. Understanding the robustness of deep neural network classifiers for breast cancer screening ↗arXiv (Cornell University) · no summary yetWitold Oleszkiewicz et al.2020
  44. Learned Equivariant Rendering without Transformation Supervision ↗arXiv (Cornell University) · no summary yetCinjon Resnick et al.2020
  45. Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation ↗SPIE Medical Imaging: Computer-Aided Diagnosis · no summary yetJimin Tan et al.2020
  46. Development of 3-Hydroxypropionic Acid Inducible Biosensor in Escherichia coli ↗Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · no summary yetKyunghyun Cho, Ye Eun Kim, Sung Kuk Lee2019
  47. Task-Driven Data Verification via Gradient Descent ↗arXiv (Cornell University) · no summary yetSiavash Golkar, Kyunghyun Cho2019
  48. Multi-Turn Beam Search for Neural Dialogue Modeling ↗arXiv (Cornell University) · no summary yetIlia Kulikov, Lee, Jason, Kyunghyun Cho2019
  49. Screening Mammogram Classification with Prior Exams ↗arXiv (Cornell University) · no summary yetJungkyu Park et al.2019
  50. Sequential Graph Dependency Parser ↗Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) · no summary yetSean Welleck, Kyunghyun Cho2019
  51. Gradient-based learning for F-measure and other performance metrics ↗no summary yetYu Lian Gai, Zheng Zhang, Kyunghyun Cho2018
  52. AlphaD3M ↗OSF Preprints (OSF Preprints) · no summary yetFreire, Juliana et al.2018
  53. Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis ↗Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems · no summary yetCho, Kyunghyun2017
  54. The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Classification ↗no summary yetKeunwoo Choi et al.2017
  55. On the Robustness of Deep Convolutional Neural Networks for Music Classification. ↗no summary yetKeunwoo Choi et al.2017
  56. Boltzmann Machines and Denoising Autoencoders for Image Denoising. January 2013. [6] A Coates, H Lee, and A Y Ng. An analysis of single-layer networks in unsupervised feature learning ↗no summary yetKyunghyun Cho2016
  57. Semantic Noise Modeling for Better Representation Learning ↗arXiv (Cornell University) · no summary yetHyoeun Kim, Sangheum Hwang, Kyunghyun Cho2016
  58. How to construct deep recurrent neural networks. arXiv preprint arXiv:1312.6026, 2013. Polyak, Boris Teodorovich. Some methods of speeding up the convergence of iteration methods ↗no summary yetRazvan Pascanu et al.2016
  59. ReSeg:意味論的セグメンテーションのためのリカレントニューラルネットワークに基づくモデル【Powered by NICT】 ↗IEEE Conference Proceedings · no summary yetFrancesco Visin et al.2016
  60. Express the visible probability distribution of a DBM in terms of the distribu- tions of two smaller DBMs. ↗no summary yetKyunghyun Cho2015
  61. Unsupervised Deep Learning: A Short Review ↗no summary yetJuha Karhunen, Tapani Raiko, Kyunghyun Cho2015
  62. Learning phrase representations using rnn encoderdecoder for statistical machine translation. arXiv preprint arXiv:1406.1078 ↗no summary yetKyunghyun Cho et al.2014
  63. PhD thesis: Foundations and advances in deep learning ↗no summary yetKyunghyun Cho2014
  64. Finland Derivations of the Enhanced Gradient for the Boltzmann Machine ↗no summary yetTapani Raiko et al.2014
  65. Iterative Neural Autoregressive Distribution Estimator (NADE-k)”. Accepted to ↗no summary yetTapani Raiko et al.2014
  66. 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part I ↗no summary yetMathias Berglund, Tapani Raiko, Kyunghyun Cho2013
  67. ATwo-Stage PretrainingAlgorithmfor ↗no summary yetKyunghyun Cho et al.2013
  68. (DRAFT) Advances in Deep Learning ↗no summary yetKyunghyun Cho2013
  69. LETTER Communicated by Yoshua Bengio Enhanced Gradient for Training Restricted Boltzmann Machines ↗no summary yetKyunghyun Cho, Tapani Raiko, Alexander Ilin2013
  70. Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Noisy Images ↗no summary yetKyunghyun Cho2013
  71. Traditional Gradient Enhanced Gradient ↗no summary yetKyunghyun Cho, Juha Karhunen, Figure Theanglesbetweentheupdatedirectionsfortheweightsofanrbmwithhiddenneurons Whitepixelscorrespon2013
  72. Two-Layer Contractive Encodings with Linear Transformation of Perceptrons for Semi-Supervised Learning ↗no summary yetHannes Schulz et al.2013
  73. Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012 ↗no summary yetKyunghyun Cho, Tapani Raiko, Juha Karhunen2012
  74. Deep learning and Boltzmann machines ↗no summary yetKyunghyun Cho, Tapani Raiko, Alexander Ilin2012
  75. Enhanced Gradient and Adaptive Learning Rate forTraining RestrictedBoltzmannMachines ↗no summary yetKyunghyun Cho, Tapani Raiko, Alexander Ilin2012
  76. EnhancedGradientfor Learning Boltzmann Machines ↗no summary yetKyunghyun Cho, Er Ilin2012
  77. I. SINGULAR VALUE DECOMPOSITION, MISSING VALUES AND NOISY OBSERVATION ↗no summary yetKyunghyun Cho, Nima Reyhani2012
  78. ICANN International Conference on Artificial Neural Networks (ICANN 2012) ICANN, Lausanne, Switzerland, September 11-14, 2012 ↗no summary yetKyunghyun Cho, A. A. Il’in, Tapani Raiko2012
  79. A Two-Stage Pretraining Algorithm for Deep Boltzmann ↗no summary yetKyunghyun Cho et al.2012
  80. Enhanced Gradient for Learning Boltzmann Machines ↗no summary yetTapani Raiko, Kyunghyun Cho, Alexander Ilin2011
  81. Enhanced gradient for learning boltzmann machines (abstract ↗no summary yetTapani Raiko, Kyunghyun Cho, Er Ilin2011
  82. The Learning Workshop ↗no summary yetTapani Raiko, Kyunghyun Cho, Alexander Ilin2011
  83. Technical report: Derivations of the enhanced gradient for the Boltzmann machine ↗no summary yetTapani Raiko, Kyunghyun Cho, Alexander Ilin2011

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