---
title: "Kyunghyun Cho — all works, page 5 — Elamur Research"
description: "All 483 works of Kyunghyun Cho in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/kyunghyun-cho/works/page/5/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kyunghyun-cho/works/page/5/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/) / [all works](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/) / page 5

# Kyunghyun Cho — all works

483 works · page 5 of 5 · 401–483 · [← Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/)

[← prev](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/page/4/) [1](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/) … [4](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/page/4/) **5**

401. **[On the Relationship Between the Choice of Representation and In-Context Learning ↗](https://arxiv.org/abs/2510.08372) arXiv (Cornell University) · no summary yet**Ioana M. Marinescu, Kyunghyun Cho, Eric Karl Oermann*2025*
402. **[Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme ↗](https://arxiv.org/abs/2511.19390) arXiv (Cornell University) · no summary yet**Rudy Morel et al.*2025*
403. **[Efficient semantic uncertainty quantification in language models via diversity-steered sampling ↗](https://doi.org/10.52202/085713-1080) neural information processing systems · no summary yet**Ji Won Park, Kyunghyun Cho*2025*
404. **[Iterative Large Language Model–Guided Sampling and Expert-Annotated Benchmark Corpus for Harmful Suicide Content Detection: Development and Validation Study ↗](https://doi.org/10.2196/73725) JMIR Medical Informatics · no summary yet**Kyumin Park et al.*2025*
405. **[Iterative LLM-Guided Sampling and Expert-annotated Benchmark Corpus for Harmful Suicide Content Detection (Preprint) ↗](https://doi.org/10.2196/preprints.73725) no summary yet**Kyumin Park et al.*2025*
406. **[Generative property enhancer: implicit guided generation through conditional density estimation ↗](https://doi.org/10.52202/085713-2950) neural information processing systems · no summary yet**Pedro O. Pinheiro et al.*2025*
407. **[Foundation Models for Clinical Records at Health System Scale ↗](https://arxiv.org/abs/2507.00574) arXiv (Cornell University) · no summary yet**Haresh Rengaraj Rajamohan et al.*2025*
408. **[IDENTIFYING SYSTEMATIC LABELING INCONSISTENCIES IN KNEE OSTEOARTHRITIS GRADING DATASETS ↗](https://doi.org/10.1016/j.joca.2025.02.422) Osteoarthritis and Cartilage · no summary yet**Haresh Rengaraj Rajamohan et al.*2025*
409. **[Reinforcement Learning with Non-Exponential Discounting ↗](https://doi.org/10.26083/tuprints-00028934) Technischen Universität Darmstadt · no summary yet**Matthias Schultheis et al.*2025*
410. **[Training Dynamics of Learning 3D-Rotational Equivariance ↗](https://arxiv.org/abs/2512.02303) arXiv:2512.02303 · no summary yet**Max W. Shen et al.*2025*
411. **[Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning ↗](https://arxiv.org/abs/2510.17959) arXiv (Cornell University) · no summary yet**Jeff Shen et al.*2025*
412. **[Property Enhancer – a data efficient multi-objective approach for functional antibody optimization ↗](https://doi.org/10.1101/2025.10.08.681101) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Nataša Tagasovska et al.*2025*
413. **[Let's Go Shopping (LGS) — Web-Scale Image-Text Dataset for Visual Concept Understanding ↗](https://arxiv.org/abs/2401.04575) arXiv (Cornell University) · no summary yet**Yatong Bai et al.*2024*
414. **[Generalization Measures for Zero-Shot Cross-Lingual Transfer ↗](https://aclanthology.org/2024.mrl-1.25/) Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024) · no summary yet**Saksham Bassi, Duygu Ataman, Kyunghyun Cho*2024*
415. **[Denoising AutoEncoder as a Pre-processor for Knee MRI Analysis ↗](https://doi.org/10.58530/2024/1965) 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 yet**Shengjia Chen et al.*2024*
416. **[Estimation of Time-to-Total Knee Replacement Surgery with Deep Learning using MRI and Clinical Data ↗](https://doi.org/10.58530/2024/3797) 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 yet**Ozkan Cigdem et al.*2024*
417. **[Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization ↗](https://arxiv.org/abs/2406.14876) arXiv (Cornell University) · no summary yet**Lee, Deokjae, Hyun Oh Song, Kyunghyun Cho*2024*
418. **[Additional file 1 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗](https://doi.org/10.6084/m9.figshare.25566268) Figshare · no summary yet**Claudia Skok Gibbs et al.*2024*
419. **[Additional file 2 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗](https://doi.org/10.6084/m9.figshare.25566382) Figshare · no summary yet**Claudia Skok Gibbs et al.*2024*
420. **[Additional file 3 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗](https://doi.org/10.6084/m9.figshare.26703682) Figshare · no summary yet**Claudia Skok Gibbs et al.*2024*
421. **[Additional file 4 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗](https://doi.org/10.6084/m9.figshare.26703685) Figshare · no summary yet**Claudia Skok Gibbs et al.*2024*
422. **[Additional file 5 of PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization ↗](https://doi.org/10.6084/m9.figshare.26703688) Figshare · no summary yet**Claudia Skok Gibbs et al.*2024*
423. **[Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing ↗](https://arxiv.org/abs/2410.05980) arXiv (Cornell University) · no summary yet**Andreas Loukas et al.*2024*
424. **[Predicting Total Knee Replacement Surgery Using Radiomic Features Extracted from MRI Scans ↗](https://doi.org/10.58530/2024/1690) 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 yet**Eros Montin et al.*2024*
425. **[Closed-Form Test Functions for Biophysical Sequence Optimization Algorithms ↗](https://arxiv.org/abs/2407.00236) arXiv (Cornell University) · no summary yet**Stanton, Samuel et al.*2024*
426. **[X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs ↗](https://arxiv.org/abs/2407.18134) arXiv (Cornell University) · no summary yet**Vlad Sobal et al.*2024*
427. **[MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging ↗](https://arxiv.org/abs/2405.02784) arXiv (Cornell University) · no summary yet**Chaojie Zhang et al.*2024*
428. **[Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy ↗](https://arxiv.org/abs/2302.04369) arXiv (Cornell University) · no summary yet**Cheolhyoung Lee, Kyunghyun Cho*2023*
429. **[Blind Biological Sequence Denoising with Self-Supervised Set Learning ↗](https://arxiv.org/abs/2309.01670) arXiv (Cornell University) · no summary yet**Ng, Nathan et al.*2023*
430. **[Dual Learning for Large Vocabulary On-Device ASR ↗](https://doi.org/10.1109/slt54892.2023.10023407) IEEE Spoken Language Technology Workshop (SLT) · no summary yet**Cal Peyser et al.*2023*
431. **[RiskForm: A novel risk formulation to improve progressive disease outcome prediction ↗](https://doi.org/10.58530/2023/1891) 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 yet**Haresh Rengaraj Rajamohan et al.*2023*
432. **[Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment ↗](https://aclanthology.org/2023.acl-srw.19/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop) · no summary yet**Zihao Yang et al.*2023*
433. **[Total Knee Replacement Prediction using Twin Class Distribution Estimation ↗](https://doi.org/10.58530/2023/1881) 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 yet**Chaojie Zhang et al.*2023*
434. **[Automated Protein Function Description for Novel Class Discovery ↗](https://doi.org/10.1101/2022.10.13.512154) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Meet Barot et al.*2022*
435. **[A Non-monotonic Self-terminating Language Model ↗](https://arxiv.org/abs/2210.00660) arXiv (Cornell University) · no summary yet**Choi, Eugene, Kyunghyun Cho, Cheolhyoung Lee*2022*
436. **[Causal Scene BERT: Improving object detection by searching for challenging groups of data ↗](https://arxiv.org/abs/2202.03651) arXiv (Cornell University) · no summary yet**Cinjon Resnick et al.*2022*
437. **[Prediction of Total Knee Replacement using Vision Transformers ↗](https://doi.org/10.58530/2022/4431) 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 yet**Chaojie Zhang et al.*2022*
438. **[Stereo Video Reconstruction Without Explicit Depth Maps for Endoscopic Surgery ↗](https://arxiv.org/abs/2109.08227) arXiv (Cornell University) · no summary yet**Annika Brundyn et al.*2021*
439. **[Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning ↗](https://arxiv.org/abs/2101.09458) arXiv (Cornell University) · no summary yet**Whitney, William F. et al.*2021*
440. **[AAVAE: Augmentation-Augmented Variational Autoencoders. ↗](https://arxiv.org/abs/2107.12329) arXiv (Cornell University) · no summary yet**William Falcon et al.*2021*
441. **[Mode recovery in neural autoregressive sequence modeling ↗](https://aclanthology.org/2021.spnlp-1.5/) Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP 2021) · no summary yet**Ilia Kulikov, Sean Welleck, Kyunghyun Cho*2021*
442. **[Self-Supervised Equivariant Scene Synthesis from Video ↗](https://arxiv.org/abs/2102.00863) arXiv (Cornell University) · no summary yet**Cinjon Resnick et al.*2021*
443. **[Understanding the robustness of deep neural network classifiers for breast cancer screening ↗](https://arxiv.org/abs/2003.10041) arXiv (Cornell University) · no summary yet**Witold Oleszkiewicz et al.*2020*
444. **[Learned Equivariant Rendering without Transformation Supervision ↗](https://arxiv.org/abs/2011.05787) arXiv (Cornell University) · no summary yet**Cinjon Resnick et al.*2020*
445. **[Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation ↗](https://doi.org/10.1117/12.2551357) SPIE Medical Imaging: Computer-Aided Diagnosis · no summary yet**Jimin Tan et al.*2020*
446. **[Development of 3-Hydroxypropionic Acid Inducible Biosensor in Escherichia coli ↗](https://openalex.org/W3202048704) Scholarworks@UNIST (Ulsan National Institute of Science and Technology) · no summary yet**Kyunghyun Cho, Ye Eun Kim, Sung Kuk Lee*2019*
447. **[Task-Driven Data Verification via Gradient Descent ↗](https://arxiv.org/abs/1905.05843) arXiv (Cornell University) · no summary yet**Siavash Golkar, Kyunghyun Cho*2019*
448. **[Multi-Turn Beam Search for Neural Dialogue Modeling ↗](https://arxiv.org/abs/1906.00141) arXiv (Cornell University) · no summary yet**Ilia Kulikov, Lee, Jason, Kyunghyun Cho*2019*
449. **[Screening Mammogram Classification with Prior Exams ↗](https://arxiv.org/abs/1907.13057) arXiv (Cornell University) · no summary yet**Jungkyu Park et al.*2019*
450. **[Sequential Graph Dependency Parser ↗](https://aclanthology.org/R19-1153/) Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) · no summary yet**Sean Welleck, Kyunghyun Cho*2019*
451. **[Gradient-based learning for F-measure and other performance metrics ↗](https://openalex.org/W2912792717) no summary yet**Yu Lian Gai, Zheng Zhang, Kyunghyun Cho*2018*
452. **[AlphaD3M ↗](https://doi.org/10.17605/osf.io/4hfzm) OSF Preprints (OSF Preprints) · no summary yet**Freire, Juliana et al.*2018*
453. **[Strawman: An Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis ↗](https://aclanthology.org/W17-5409/) Proceedings of the First Workshop on Building Linguistically Generalizable NLP Systems · no summary yet**Cho, Kyunghyun*2017*
454. **[The Effects of Noisy Labels on Deep Convolutional Neural Networks for Music Classification ↗](https://openalex.org/W2754905114) no summary yet**Keunwoo Choi et al.*2017*
455. **[On the Robustness of Deep Convolutional Neural Networks for Music Classification. ↗](https://openalex.org/W2621909880) no summary yet**Keunwoo Choi et al.*2017*
456. **[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 ↗](https://openalex.org/W7095228125) no summary yet**Kyunghyun Cho*2016*
457. **[Semantic Noise Modeling for Better Representation Learning ↗](https://arxiv.org/abs/1611.01268) arXiv (Cornell University) · no summary yet**Hyoeun Kim, Sangheum Hwang, Kyunghyun Cho*2016*
458. **[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 ↗](https://openalex.org/W7100233341) no summary yet**Razvan Pascanu et al.*2016*
459. **[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】 ↗](https://openalex.org/W3098762344) IEEE Conference Proceedings · no summary yet**Francesco Visin et al.*2016*
460. **[Express the visible probability distribution of a DBM in terms of the distribu- tions of two smaller DBMs. ↗](https://openalex.org/W2466880846) no summary yet**Kyunghyun Cho*2015*
461. **[Unsupervised Deep Learning: A Short Review ↗](https://openalex.org/W7100805612) no summary yet**Juha Karhunen, Tapani Raiko, Kyunghyun Cho*2015*
462. **[Learning phrase representations using rnn encoderdecoder for statistical machine translation. arXiv preprint arXiv:1406.1078 ↗](https://openalex.org/W7096620389) no summary yet**Kyunghyun Cho et al.*2014*
463. **[PhD thesis: Foundations and advances in deep learning ↗](https://openalex.org/W2597369537) no summary yet**Kyunghyun Cho*2014*
464. **[Finland Derivations of the Enhanced Gradient for the Boltzmann Machine ↗](https://openalex.org/W7096103107) no summary yet**Tapani Raiko et al.*2014*
465. **[Iterative Neural Autoregressive Distribution Estimator (NADE-k)”. Accepted to ↗](https://openalex.org/W7098909357) no summary yet**Tapani Raiko et al.*2014*
466. **[20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part I ↗](https://openalex.org/W2594624476) no summary yet**Mathias Berglund, Tapani Raiko, Kyunghyun Cho*2013*
467. **[ATwo-Stage PretrainingAlgorithmfor ↗](https://openalex.org/W7100031205) no summary yet**Kyunghyun Cho et al.*2013*
468. **[(DRAFT) Advances in Deep Learning ↗](https://openalex.org/W7100593769) no summary yet**Kyunghyun Cho*2013*
469. **[LETTER Communicated by Yoshua Bengio Enhanced Gradient for Training Restricted Boltzmann Machines ↗](https://openalex.org/W7096961648) no summary yet**Kyunghyun Cho, Tapani Raiko, Alexander Ilin*2013*
470. **[Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Noisy Images ↗](https://openalex.org/W7100519945) no summary yet**Kyunghyun Cho*2013*
471. **[Traditional Gradient Enhanced Gradient ↗](https://openalex.org/W7096326959) no summary yet**Kyunghyun Cho, Juha Karhunen, Figure Theanglesbetweentheupdatedirectionsfortheweightsofanrbmwithhiddenneurons Whitepixelscorrespon*2013*
472. **[Two-Layer Contractive Encodings with Linear Transformation of Perceptrons for Semi-Supervised Learning ↗](https://openalex.org/W2617322451) no summary yet**Hannes Schulz et al.*2013*
473. **[Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012 ↗](https://openalex.org/W2593690118) no summary yet**Kyunghyun Cho, Tapani Raiko, Juha Karhunen*2012*
474. **[Deep learning and Boltzmann machines ↗](https://openalex.org/W2594006203) no summary yet**Kyunghyun Cho, Tapani Raiko, Alexander Ilin*2012*
475. **[Enhanced Gradient and Adaptive Learning Rate forTraining RestrictedBoltzmannMachines ↗](https://openalex.org/W7097786786) no summary yet**Kyunghyun Cho, Tapani Raiko, Alexander Ilin*2012*
476. **[EnhancedGradientfor Learning Boltzmann Machines ↗](https://openalex.org/W7100633568) no summary yet**Kyunghyun Cho, Er Ilin*2012*
477. **[I. SINGULAR VALUE DECOMPOSITION, MISSING VALUES AND NOISY OBSERVATION ↗](https://openalex.org/W7096750398) no summary yet**Kyunghyun Cho, Nima Reyhani*2012*
478. **[ICANN International Conference on Artificial Neural Networks (ICANN 2012) ICANN, Lausanne, Switzerland, September 11-14, 2012 ↗](https://openalex.org/W2593603476) no summary yet**Kyunghyun Cho, A. A. Il’in, Tapani Raiko*2012*
479. **[A Two-Stage Pretraining Algorithm for Deep Boltzmann ↗](https://openalex.org/W7097184099) no summary yet**Kyunghyun Cho et al.*2012*
480. **[Enhanced Gradient for Learning Boltzmann Machines ↗](https://openalex.org/W2610267648) no summary yet**Tapani Raiko, Kyunghyun Cho, Alexander Ilin*2011*
481. **[Enhanced gradient for learning boltzmann machines (abstract ↗](https://openalex.org/W7095147207) no summary yet**Tapani Raiko, Kyunghyun Cho, Er Ilin*2011*
482. **[The Learning Workshop ↗](https://openalex.org/W2594172004) no summary yet**Tapani Raiko, Kyunghyun Cho, Alexander Ilin*2011*
483. **[Technical report: Derivations of the enhanced gradient for the Boltzmann machine ↗](https://openalex.org/W2598354014) no summary yet**Tapani Raiko, Kyunghyun Cho, Alexander Ilin*2011*

[← prev](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/page/4/) [1](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/) … [4](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/works/page/4/) **5**