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Kyunghyun Cho — all works

483 works · page 4 of 5 · 301–400 · ← Kyunghyun Cho

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  1. Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2025 · 3 citations
  2. Deep Autoregressive Models as Causal Inference Engines ↗arXiv (Cornell University) · no summary yetDaniel Jiwoong Im et al.2024 · 3 citations
  3. Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design ↗arXiv (Cornell University) · no summary yetNataša Tagasovska et al.2024 · 3 citations
  4. Towards Understanding and Improving GFlowNet Training ↗arXiv (Cornell University) · no summary yetMax W. Shen et al.2023 · 3 citations
  5. Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning ↗Radiology Advances · no summary yetOzkan Cigdem et al.2022 · 3 citations
  6. Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms ↗arXiv (Cornell University) · no summary yetNan Wu et al.2020 · 3 citations
  7. The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection ↗Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection · no summary yetKatharina Kann, Stanislas Lauly, Kyunghyun Cho2018 · 3 citations
  8. Countering Language Drift via Grounding ↗no summary yetJason Lee, Kyunghyun Cho, Douwe Kiela2018 · 3 citations
  9. Vehicle Community Strategies. ↗arXiv (Cornell University) · no summary yetCinjon Resnick et al.2018 · 3 citations
  10. NIPS 2012 Workshop on Deep Learning and Unsupervised Feature Learning, Lake Tahoe, Usa, December 8, 2012 ↗no summary yetKyunghyun Cho et al.2012 · 3 citations
  11. TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins ↗arXiv (Cornell University) · no summary yetNikita Makarov et al.2026 · 2 citations
  12. Language Models as Causal Effect Generators ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetLucius E.J. Bynum, Kyunghyun Cho2025 · 2 citations
  13. MIST: Mutual Information Estimation Via Supervised Training ↗arXiv (Cornell University) · no summary yetGritsai, German et al.2025 · 2 citations
  14. AION-1: Omnimodal Foundation Model for Astronomical Sciences ↗neural information processing systems · no summary yetLiam Parker et al.2025 · 2 citations
  15. Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation ↗arXiv (Cornell University) · no summary yetDua, Radhika et al.2025 · 2 citations
  16. Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents ↗Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics · no summary yetSeyoung Song et al.2025 · 2 citations
  17. Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs ↗arXiv (Cornell University) · no summary yetHaneul Yoo et al.2025 · 2 citations
  18. Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task ↗arXiv (Cornell University) · no summary yetSiavash Golkar et al.2024 · 2 citations
  19. How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent ↗arXiv (Cornell University) · no summary yetMallory Knodel et al.2024 · 2 citations
  20. Show Your Work with Confidence: Confidence Bands for Tuning Curves ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetNicholas Lourie, Kyunghyun Cho, He He2024 · 2 citations
  21. Harmful Suicide Content Detection ↗arXiv (Cornell University) · no summary yetKyumin Park et al.2024 · 2 citations
  22. Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient ↗neural information processing systems · no summary yetNataša Tagasovska et al.2024 · 2 citations
  23. Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ↗arXiv (Cornell University) · no summary yetSungmin Cha, Kyunghyun Cho, Taesup Moon2023 · 2 citations
  24. Estimating time-to-total knee replacement surgery using deep learning ↗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 yetEisa Hedayati et al.2023 · 2 citations
  25. Emulating radiation transport on cosmological scale using a denoising Unet ↗arXiv (Cornell University) · no summary yetMosima P. Masipa et al.2023 · 2 citations
  26. A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetCal Peyser et al.2023 · 2 citations
  27. Improving Joint Speech-Text Representations Without Alignment ↗Interspeech (USB) · no summary yetCal Peyser et al.2023 · 2 citations
  28. Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling ↗Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetIlia Kulikov, Maksim Eremeev, Kyunghyun Cho2022 · 2 citations
  29. Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? ↗arXiv (Cornell University) · no summary yetSang-Woo Lee et al.2022 · 2 citations
  30. Separating the World and Ego Models for Self-Driving ↗arXiv (Cornell University) · no summary yetVlad Sobal et al.2022 · 2 citations
  31. Online hyperparameter optimization by real-time recurrent learning ↗arXiv (Cornell University) · no summary yetDaniel Jiwoong Im, Cristina Savin, Kyunghyun Cho2021 · 2 citations
  32. A Study on the Autoregressive and non-Autoregressive Multi-label Learning ↗arXiv (Cornell University) · no summary yetElham J. Barezi et al.2020 · 2 citations
  33. Using local plasticity rules to train recurrent neural networks ↗arXiv (Cornell University) · no summary yetOwen Marschall, Kyunghyun Cho, Cristina Savin2019 · 2 citations
  34. Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair ↗Proceedings of the 21st Annual Conference of the European Association for Machine Translation · no summary yetJohn E. Ortega et al.2018 · 2 citations
  35. Contextualized Role Interaction for Neural Machine Translation ↗no summary yetDirk Weissenborn et al.2018 · 2 citations
  36. Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach ↗IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) · no summary yetMd. Faijul Amin et al.2016 · 2 citations
  37. How to Pretrain Deep Boltzmann Machines in Two Stages ↗Springer series in bio-/neuroinformatics · no summary yetKyunghyun Cho et al.2014 · 2 citations
  38. Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning ↗Lecture notes in computer science · no summary yetHannes Schulz et al.2013 · 2 citations
  39. Self-rankings as a predictor of scientific impact beyond peer review ↗Nature Computational Science · no summary yet苏步新 et al.2026 · 1 citation
  40. MIMIC: A Generative Multimodal Foundation Model for Biomolecules ↗arXiv (Cornell University) · no summary yetSiavash Golkar et al.2026 · 1 citation
  41. Generalist Foundation Models Are Not Clinical Enough for Hospital Operations ↗Research Square · no summary yetEric Karl Oermann et al.2026 · 1 citation
  42. Robust disease prognosis via diagnostic knowledge preservation: A sequential learning approach ↗PLoS ONE · no summary yetHaresh Rengaraj Rajamohan et al.2026 · 1 citation
  43. How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review ↗arXiv (Cornell University) · no summary yetSu, Buxin et al.2025 · 1 citation
  44. Black Box Causal Inference: Effect Estimation via Meta Prediction ↗arXiv (Cornell University) · no summary yetLucius Bynum et al.2025 · 1 citation
  45. Hyperparameter Loss Surfaces Are Simple Near their Optima ↗arXiv (Cornell University) · no summary yetNicholas Lourie, He He, Kyunghyun Cho2025 · 1 citation
  46. Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional ↗arXiv (Cornell University) · no summary yetDivyam Madaan et al.2025 · 1 citation
  47. Meta-Statistical Learning: Supervised Learning of Statistical Inference ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetPeyrard, Maxime, Kyunghyun Cho2025 · 1 citation
  48. CDR Conformation Aware Antibody Sequence Design with ConformAb ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetImee Sinha et al.2025 · 1 citation
  49. A Brief Introduction to Causal Inference in Machine Learning ↗arXiv (Cornell University) · no summary yetKyunghyun Cho2024 · 1 citation
  50. HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis ↗arXiv (Cornell University) · no summary yetHaoxu Huang et al.2024 · 1 citation
  51. Large-Scale Targeted Cause Discovery via Learning from Simulated Data ↗arXiv (Cornell University) · no summary yetJang Hyun Kim et al.2024 · 1 citation
  52. Semiparametric conformal prediction ↗arXiv (Cornell University) · no summary yetJi Won Park, Robert John Tibshirani, Kyunghyun Cho2024 · 1 citation
  53. Characterization of tumor heterogeneity through segmentation-free representation learning ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetJimin Tan et al.2024 · 1 citation
  54. MR-Transformer: Vision Transformers for Total Knee Replacement Prediction using Magnetic Resonance Imaging ↗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.2024 · 1 citation
  55. PaperCard for Reporting Machine Assistance in Academic Writing ↗arXiv (Cornell University) · no summary yetWon Ik Cho, Eun‐Jung Cho, Kyunghyun Cho2023 · 1 citation
  56. Active and Passive Causal Inference Learning ↗arXiv (Cornell University) · no summary yetDaniel Jiwoong Im, Kyunghyun Cho2023 · 1 citation
  57. On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis ↗arXiv (Cornell University) · no summary yetDivyam Madaan et al.2023 · 1 citation
  58. NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction ↗Bioinformatics · no summary yetRen Yi, Kyunghyun Cho, Richard Bonneau2022 · 1 citation
  59. Evaluating biological plausibility of learning algorithms the lazy way ↗no summary yetOwen Marschall, Kyunghyun Cho, Cristina Savin2019 · 1 citation
  60. Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications ↗Greater South Information System · no summary yetTakshak Desai et al.2018 · 1 citation
  61. New York University at TREC 2018 Complex Answer Retrieval Track. ↗Text REtrieval Conference · no summary yetRodrigo Frassetto Nogueira, Kyunghyun Cho2018 · 1 citation
  62. A Controller-Recognizer Framework: How necessary is recognition for control? ↗arXiv (Cornell University) · no summary yetMarcin Moczulski et al.2015 · 1 citation
  63. The International Conference on Artificial Neural Networks and Machine Learning - ICANN 2013 ↗no summary yetKyunghyun Cho et al.2013 · 1 citation
  64. Master's thesis: Improved learning algorithms for restricted Boltzmann machines ↗no summary yetKyunghyun Cho2011 · 1 citation
  65. Derivations of the Enhanced Gradient for the Boltzmann Machine ↗no summary yetTapani Raiko, Kyunghyun Cho, Alexander Ilin2011 · 1 citation
  66. CONCEPT BOTTLENECK GENERATIVE MODELS ↗no summary yetAya Abdelsalam et al.2026
  67. scCBGM: Interpretable Single-Cell Counterfactual Editing ↗arXiv (Cornell University) · no summary yetAlma Andersson et al.2026
  68. Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review ↗Journal of the American Statistical Association · no summary yet苏步新 et al.2026
  69. Computational Identifiability ↗arXiv (Cornell University) · no summary yetLucius Bynum, Rajesh Ranganath, Kyunghyun Cho2026
  70. GLM-Prior: a genomic language model for transferable sequence-derived priors in gene regulatory network inference ↗Nature Communications · no summary yetClaudia Skok Gibbs et al.2026
  71. Group Contrastive Learning for Weakly Paired Multimodal Data ↗arXiv (Cornell University) · no summary yetAditya Gorla et al.2026
  72. MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement ↗arXiv (Cornell University) · no summary yetSuhyun Han, Kyunghyun Cho, JinYeong Bak2026
  73. Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time ↗arXiv (Cornell University) · no summary yetMichael Y. Hu et al.2026
  74. Neural Neural Scaling Laws ↗arXiv (Cornell University) · no summary yetMichael Y. Hu et al.2026
  75. Paradox of De-identification: A Critique of HIPAA Safe Harbour in the Age of LLMs ↗arXiv (Cornell University) · no summary yetLavender Yao Jiang et al.2026
  76. Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation ↗Journal of Intensive Care · no summary yetHong Yeul Lee et al.2026
  77. Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution ↗arXiv (Cornell University) · no summary yetMinjae Lee, Kyunghyun Cho, Sangdon Park2026
  78. Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment ↗arXiv (Cornell University) · no summary yetSheng Liu et al.2026
  79. Small-Scale Experiments: Are We There Yet? ↗arXiv (Cornell University) · no summary yetNicholas Lourie et al.2026
  80. PREDICTING TIME-TO-PAIN PROGRESSION IN KNEE OSTEOARTHRITIS: A CLINICAL AND RADIOMICS FEATURE ANALYSIS ↗Osteoarthritis Imaging · no summary yetNaseem Machlovi et al.2026
  81. Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling ↗arXiv (Cornell University) · no summary yetDivyam Madaan, Sumit Chopra, Kyunghyun Cho2026
  82. Reason in Style: Discovering and Controlling Style in Language Models ↗arXiv (Cornell University) · no summary yetIoana Marinescu, Eric Karl Oermann, Kyunghyun Cho2026
  83. Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence ↗arXiv (Cornell University) · no summary yetPayel Mukhopadhyay et al.2026
  84. Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting ↗arXiv (Cornell University) · no summary yetJoonhyeong Park et al.2026
  85. Conformal Policy Control ↗arXiv (Cornell University) · no summary yetDrew Prinster et al.2026
  86. Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction ↗arXiv (Cornell University) · no summary yetHaresh Rengaraj Rajamohan et al.2026
  87. Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data ↗arXiv (Cornell University) · no summary yetHaresh Rengaraj Rajamohan et al.2026
  88. Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts ↗Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yetSeyoung Song et al.2026
  89. AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis ↗arXiv (Cornell University) · no summary yetBing Yan et al.2026
  90. Multi-Task Bayesian In-Context Learning ↗arXiv (Cornell University) · no summary yetQingyang Zhu, Eric Karl Oermann, Kyunghyun Cho2026
  91. Why Alignment Must Precede Distillation: A Minimal Working Explanation ↗arXiv (Cornell University) · no summary yetSungmin Cha, Kyunghyun Cho2025
  92. Forget Forgetting: Continual Learning in a World of Abundant Memory ↗arXiv:2502.07274 · no summary yetDongkyu Cho et al.2025
  93. Machine Learning: a Lecture Note ↗arXiv (Cornell University) · no summary yetKyunghyun Cho2025
  94. Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check ↗arXiv (Cornell University) · no summary yetSungjun Cho et al.2025
  95. Estimation of Time-to-Total Knee Replacement Surgery with Multimodal Modeling ↗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.2025
  96. Predicting Time-to-Total Knee Replacement: Deep Learning vs Radiomics ↗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.2025
  97. Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains ↗Technischen Universität Darmstadt · no summary yetNicolai Engelmann et al.2025
  98. Test Time Scaling for Neural Processes ↗neural information processing systems · no summary yetHyungi Lee et al.2025
  99. None To Optima in Few Shots: Bayesian Optimization with MDP Priors ↗arXiv (Cornell University) · no summary yetDiantong Li, Kyunghyun Cho, Chong Liu2025
  100. Temporal Generalization: A Reality Check ↗arXiv (Cornell University) · no summary yetDivyam Madaan, Sumit Chopra, Kyunghyun Cho2025

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