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title: "Kyunghyun Cho — all works, page 4 — 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."
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# Kyunghyun Cho — all works

483 works · page 4 of 5 · 301–400 · [← Kyunghyun Cho](https://md.research.elamur.ai/free/en/authors/kyunghyun-cho/)

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301. **[Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models ↗](https://arxiv.org/abs/2502.14819) arXiv (Cornell University) · no summary yet**Vlad Sobal et al.*2025 · 3 citations*
302. **[Deep Autoregressive Models as Causal Inference Engines ↗](https://arxiv.org/abs/2409.18581) arXiv (Cornell University) · no summary yet**Daniel Jiwoong Im et al.*2024 · 3 citations*
303. **[Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design ↗](https://arxiv.org/abs/2407.21028) arXiv (Cornell University) · no summary yet**Nataša Tagasovska et al.*2024 · 3 citations*
304. **[Towards Understanding and Improving GFlowNet Training ↗](https://arxiv.org/abs/2305.07170) arXiv (Cornell University) · no summary yet**Max W. Shen et al.*2023 · 3 citations*
305. **[Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning ↗](https://doi.org/10.1093/radadv/umae030) Radiology Advances · no summary yet**Ozkan Cigdem et al.*2022 · 3 citations*
306. **[Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms ↗](https://arxiv.org/abs/2009.09282) arXiv (Cornell University) · no summary yet**Nan Wu et al.*2020 · 3 citations*
307. **[The NYU System for the CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection ↗](https://aclanthology.org/K18-3006/) Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection · no summary yet**Katharina Kann, Stanislas Lauly, Kyunghyun Cho*2018 · 3 citations*
308. **[Countering Language Drift via Grounding ↗](https://openalex.org/W2914000177) no summary yet**Jason Lee, Kyunghyun Cho, Douwe Kiela*2018 · 3 citations*
309. **[Vehicle Community Strategies. ↗](https://arxiv.org/abs/1804.07178) arXiv (Cornell University) · no summary yet**Cinjon Resnick et al.*2018 · 3 citations*
310. **[NIPS 2012 Workshop on Deep Learning and Unsupervised Feature Learning, Lake Tahoe, Usa, December 8, 2012 ↗](https://openalex.org/W2593006040) no summary yet**Kyunghyun Cho et al.*2012 · 3 citations*
311. **[TwinWeaver: An LLM-Based Foundation Model Framework for Pan-Cancer Digital Twins ↗](https://arxiv.org/abs/2601.20906) arXiv (Cornell University) · no summary yet**Nikita Makarov et al.*2026 · 2 citations*
312. **[Language Models as Causal Effect Generators ↗](https://aclanthology.org/2025.emnlp-main.107/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lucius E.J. Bynum, Kyunghyun Cho*2025 · 2 citations*
313. **[MIST: Mutual Information Estimation Via Supervised Training ↗](https://arxiv.org/abs/2511.18945) arXiv (Cornell University) · no summary yet**Gritsai, German et al.*2025 · 2 citations*
314. **[AION-1: Omnimodal Foundation Model for Astronomical Sciences ↗](https://doi.org/10.52202/085713-3189) neural information processing systems · no summary yet**Liam Parker et al.*2025 · 2 citations*
315. **[Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation ↗](https://arxiv.org/abs/2508.02808) arXiv (Cornell University) · no summary yet**Dua, Radhika et al.*2025 · 2 citations*
316. **[Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents ↗](https://aclanthology.org/2025.findings-ijcnlp.98/) 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 yet**Seyoung Song et al.*2025 · 2 citations*
317. **[Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs ↗](https://arxiv.org/abs/2510.05678) arXiv (Cornell University) · no summary yet**Haneul Yoo et al.*2025 · 2 citations*
318. **[Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task ↗](https://arxiv.org/abs/2406.02585) arXiv (Cornell University) · no summary yet**Siavash Golkar et al.*2024 · 2 citations*
319. **[How To Think About End-To-End Encryption and AI: Training, Processing, Disclosure, and Consent ↗](https://arxiv.org/abs/2412.20231) arXiv (Cornell University) · no summary yet**Mallory Knodel et al.*2024 · 2 citations*
320. **[Show Your Work with Confidence: Confidence Bands for Tuning Curves ↗](https://aclanthology.org/2024.naacl-long.189/) 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 yet**Nicholas Lourie, Kyunghyun Cho, He He*2024 · 2 citations*
321. **[Harmful Suicide Content Detection ↗](https://arxiv.org/abs/2407.13942) arXiv (Cornell University) · no summary yet**Kyumin Park et al.*2024 · 2 citations*
322. **[Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient ↗](https://doi.org/10.52202/079017-1134) neural information processing systems · no summary yet**Nataša Tagasovska et al.*2024 · 2 citations*
323. **[Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ↗](https://arxiv.org/abs/2306.05101) arXiv (Cornell University) · no summary yet**Sungmin Cha, Kyunghyun Cho, Taesup Moon*2023 · 2 citations*
324. **[Estimating time-to-total knee replacement surgery using deep learning ↗](https://doi.org/10.58530/2023/1894) 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**Eisa Hedayati et al.*2023 · 2 citations*
325. **[Emulating radiation transport on cosmological scale using a denoising Unet ↗](https://arxiv.org/abs/2303.12065) arXiv (Cornell University) · no summary yet**Mosima P. Masipa et al.*2023 · 2 citations*
326. **[A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale ↗](https://doi.org/10.1109/icassp49357.2023.10095838) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Cal Peyser et al.*2023 · 2 citations*
327. **[Improving Joint Speech-Text Representations Without Alignment ↗](https://doi.org/10.21437/interspeech.2023-403) Interspeech (USB) · no summary yet**Cal Peyser et al.*2023 · 2 citations*
328. **[Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling ↗](https://aclanthology.org/2022.aacl-main.82/) 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 yet**Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho*2022 · 2 citations*
329. **[Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild? ↗](https://arxiv.org/abs/2212.10504) arXiv (Cornell University) · no summary yet**Sang-Woo Lee et al.*2022 · 2 citations*
330. **[Separating the World and Ego Models for Self-Driving ↗](https://arxiv.org/abs/2204.07184) arXiv (Cornell University) · no summary yet**Vlad Sobal et al.*2022 · 2 citations*
331. **[Online hyperparameter optimization by real-time recurrent learning ↗](https://arxiv.org/abs/2102.07813) arXiv (Cornell University) · no summary yet**Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho*2021 · 2 citations*
332. **[A Study on the Autoregressive and non-Autoregressive Multi-label Learning ↗](https://arxiv.org/abs/2012.01711) arXiv (Cornell University) · no summary yet**Elham J. Barezi et al.*2020 · 2 citations*
333. **[Using local plasticity rules to train recurrent neural networks ↗](https://arxiv.org/abs/1905.12100) arXiv (Cornell University) · no summary yet**Owen Marschall, Kyunghyun Cho, Cristina Savin*2019 · 2 citations*
334. **[Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair ↗](https://aclanthology.org/2018.eamt-main.21/) Proceedings of the 21st Annual Conference of the European Association for Machine Translation · no summary yet**John E. Ortega et al.*2018 · 2 citations*
335. **[Contextualized Role Interaction for Neural Machine Translation ↗](https://openalex.org/W2942104566) no summary yet**Dirk Weissenborn et al.*2018 · 2 citations*
336. **[Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach ↗](https://doi.org/10.1109/ssiai.2016.7459160) IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI) · no summary yet**Md. Faijul Amin et al.*2016 · 2 citations*
337. **[How to Pretrain Deep Boltzmann Machines in Two Stages ↗](https://doi.org/10.1007/978-3-319-09903-3_10) Springer series in bio-/neuroinformatics · no summary yet**Kyunghyun Cho et al.*2014 · 2 citations*
338. **[Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning ↗](https://doi.org/10.1007/978-3-642-42054-2_56) Lecture notes in computer science · no summary yet**Hannes Schulz et al.*2013 · 2 citations*
339. **[Self-rankings as a predictor of scientific impact beyond peer review ↗](https://doi.org/10.1038/s43588-026-01039-0) Nature Computational Science · no summary yet**苏步新 et al.*2026 · 1 citation*
340. **[MIMIC: A Generative Multimodal Foundation Model for Biomolecules ↗](https://arxiv.org/abs/2604.24506) arXiv (Cornell University) · no summary yet**Siavash Golkar et al.*2026 · 1 citation*
341. **[Generalist Foundation Models Are Not Clinical Enough for Hospital Operations ↗](https://doi.org/10.21203/rs.3.rs-9078142/v1) Research Square · no summary yet**Eric Karl Oermann et al.*2026 · 1 citation*
342. **[Robust disease prognosis via diagnostic knowledge preservation: A sequential learning approach ↗](https://doi.org/10.1371/journal.pone.0344600) PLoS ONE · no summary yet**Haresh Rengaraj Rajamohan et al.*2026 · 1 citation*
343. **[How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review ↗](https://arxiv.org/abs/2510.02143) arXiv (Cornell University) · no summary yet**Su, Buxin et al.*2025 · 1 citation*
344. **[Black Box Causal Inference: Effect Estimation via Meta Prediction ↗](https://arxiv.org/abs/2503.05985) arXiv (Cornell University) · no summary yet**Lucius Bynum et al.*2025 · 1 citation*
345. **[Hyperparameter Loss Surfaces Are Simple Near their Optima ↗](https://arxiv.org/abs/2510.02721) arXiv (Cornell University) · no summary yet**Nicholas Lourie, He He, Kyunghyun Cho*2025 · 1 citation*
346. **[Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional ↗](https://arxiv.org/abs/2509.23499) arXiv (Cornell University) · no summary yet**Divyam Madaan et al.*2025 · 1 citation*
347. **[Meta-Statistical Learning: Supervised Learning of Statistical Inference ↗](https://hal.science/hal-05405354v1) HAL (Le Centre pour la Communication Scientifique Directe) · no summary yet**Peyrard, Maxime, Kyunghyun Cho*2025 · 1 citation*
348. **[CDR Conformation Aware Antibody Sequence Design with ConformAb ↗](https://doi.org/10.1101/2025.11.12.688095) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Imee Sinha et al.*2025 · 1 citation*
349. **[A Brief Introduction to Causal Inference in Machine Learning ↗](https://arxiv.org/abs/2405.08793) arXiv (Cornell University) · no summary yet**Kyunghyun Cho*2024 · 1 citation*
350. **[HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis ↗](https://arxiv.org/abs/2411.10684) arXiv (Cornell University) · no summary yet**Haoxu Huang et al.*2024 · 1 citation*
351. **[Large-Scale Targeted Cause Discovery via Learning from Simulated Data ↗](https://arxiv.org/abs/2408.16218) arXiv (Cornell University) · no summary yet**Jang Hyun Kim et al.*2024 · 1 citation*
352. **[Semiparametric conformal prediction ↗](https://arxiv.org/abs/2411.02114) arXiv (Cornell University) · no summary yet**Ji Won Park, Robert John Tibshirani, Kyunghyun Cho*2024 · 1 citation*
353. **[Characterization of tumor heterogeneity through segmentation-free representation learning ↗](https://doi.org/10.1101/2024.09.05.611431) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Jimin Tan et al.*2024 · 1 citation*
354. **[MR-Transformer: Vision Transformers for Total Knee Replacement Prediction using Magnetic Resonance Imaging ↗](https://doi.org/10.58530/2024/1008) 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.*2024 · 1 citation*
355. **[PaperCard for Reporting Machine Assistance in Academic Writing ↗](https://arxiv.org/abs/2310.04824) arXiv (Cornell University) · no summary yet**Won Ik Cho, Eun‐Jung Cho, Kyunghyun Cho*2023 · 1 citation*
356. **[Active and Passive Causal Inference Learning ↗](https://arxiv.org/abs/2308.09248) arXiv (Cornell University) · no summary yet**Daniel Jiwoong Im, Kyunghyun Cho*2023 · 1 citation*
357. **[On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis ↗](https://arxiv.org/abs/2306.13276) arXiv (Cornell University) · no summary yet**Divyam Madaan et al.*2023 · 1 citation*
358. **[NetTIME: a multitask and base-pair resolution framework for improved transcription factor binding site prediction ↗](https://doi.org/10.1093/bioinformatics/btac569) Bioinformatics · no summary yet**Ren Yi, Kyunghyun Cho, Richard Bonneau*2022 · 1 citation*
359. **[Evaluating biological plausibility of learning algorithms the lazy way ↗](https://openalex.org/W3117125256) no summary yet**Owen Marschall, Kyunghyun Cho, Cristina Savin*2019 · 1 citation*
360. **[Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications ↗](https://doi.org/10.60692/dxnjd-sqr75) Greater South Information System · no summary yet**Takshak Desai et al.*2018 · 1 citation*
361. **[New York University at TREC 2018 Complex Answer Retrieval Track. ↗](https://openalex.org/W2947399635) Text REtrieval Conference · no summary yet**Rodrigo Frassetto Nogueira, Kyunghyun Cho*2018 · 1 citation*
362. **[A Controller-Recognizer Framework: How necessary is recognition for control? ↗](https://arxiv.org/abs/1511.06428) arXiv (Cornell University) · no summary yet**Marcin Moczulski et al.*2015 · 1 citation*
363. **[The International Conference on Artificial Neural Networks and Machine Learning - ICANN 2013 ↗](https://openalex.org/W2594835168) no summary yet**Kyunghyun Cho et al.*2013 · 1 citation*
364. **[Master's thesis: Improved learning algorithms for restricted Boltzmann machines ↗](https://openalex.org/W2593761100) no summary yet**Kyunghyun Cho*2011 · 1 citation*
365. **[Derivations of the Enhanced Gradient for the Boltzmann Machine ↗](https://openalex.org/W2595431794) no summary yet**Tapani Raiko, Kyunghyun Cho, Alexander Ilin*2011 · 1 citation*
366. **[CONCEPT BOTTLENECK GENERATIVE MODELS ↗](https://doi.org/10.13140/rg.2.2.24726.31047) no summary yet**Aya Abdelsalam et al.*2026*
367. **[scCBGM: Interpretable Single-Cell Counterfactual Editing ↗](https://arxiv.org/abs/2606.07760) arXiv (Cornell University) · no summary yet**Alma Andersson et al.*2026*
368. **[Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review ↗](https://doi.org/10.1080/01621459.2026.2672763) Journal of the American Statistical Association · no summary yet**苏步新 et al.*2026*
369. **[Computational Identifiability ↗](https://arxiv.org/abs/2606.19361) arXiv (Cornell University) · no summary yet**Lucius Bynum, Rajesh Ranganath, Kyunghyun Cho*2026*
370. **[GLM-Prior: a genomic language model for transferable sequence-derived priors in gene regulatory network inference ↗](https://doi.org/10.1038/s41467-026-77381-8) Nature Communications · no summary yet**Claudia Skok Gibbs et al.*2026*
371. **[Group Contrastive Learning for Weakly Paired Multimodal Data ↗](https://arxiv.org/abs/2602.04021) arXiv (Cornell University) · no summary yet**Aditya Gorla et al.*2026*
372. **[MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement ↗](https://arxiv.org/abs/2606.21930) arXiv (Cornell University) · no summary yet**Suhyun Han, Kyunghyun Cho, JinYeong Bak*2026*
373. **[Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time ↗](https://arxiv.org/abs/2605.15220) arXiv (Cornell University) · no summary yet**Michael Y. Hu et al.*2026*
374. **[Neural Neural Scaling Laws ↗](https://arxiv.org/abs/2601.19831) arXiv (Cornell University) · no summary yet**Michael Y. Hu et al.*2026*
375. **[Paradox of De-identification: A Critique of HIPAA Safe Harbour in the Age of LLMs ↗](https://arxiv.org/abs/2602.08997) arXiv (Cornell University) · no summary yet**Lavender Yao Jiang et al.*2026*
376. **[Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation ↗](https://doi.org/10.1186/s40560-026-00947-7) Journal of Intensive Care · no summary yet**Hong Yeul Lee et al.*2026*
377. **[Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution ↗](https://arxiv.org/abs/2610.04845) arXiv (Cornell University) · no summary yet**Minjae Lee, Kyunghyun Cho, Sangdon Park*2026*
378. **[Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment ↗](https://arxiv.org/abs/2603.21597) arXiv (Cornell University) · no summary yet**Sheng Liu et al.*2026*
379. **[Small-Scale Experiments: Are We There Yet? ↗](https://arxiv.org/abs/2608.11859) arXiv (Cornell University) · no summary yet**Nicholas Lourie et al.*2026*
380. **[PREDICTING TIME-TO-PAIN PROGRESSION IN KNEE OSTEOARTHRITIS: A CLINICAL AND RADIOMICS FEATURE ANALYSIS ↗](https://doi.org/10.1016/j.ostima.2026.100434) Osteoarthritis Imaging · no summary yet**Naseem Machlovi et al.*2026*
381. **[Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling ↗](https://arxiv.org/abs/2602.16979) arXiv (Cornell University) · no summary yet**Divyam Madaan, Sumit Chopra, Kyunghyun Cho*2026*
382. **[Reason in Style: Discovering and Controlling Style in Language Models ↗](https://arxiv.org/abs/2610.00724) arXiv (Cornell University) · no summary yet**Ioana Marinescu, Eric Karl Oermann, Kyunghyun Cho*2026*
383. **[Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence ↗](https://arxiv.org/abs/2606.01470) arXiv (Cornell University) · no summary yet**Payel Mukhopadhyay et al.*2026*
384. **[Proper Scoring Rule-based Diffusion for Probabilistic Weather Forecasting ↗](https://arxiv.org/abs/2609.38632) arXiv (Cornell University) · no summary yet**Joonhyeong Park et al.*2026*
385. **[Conformal Policy Control ↗](https://arxiv.org/abs/2603.02196) arXiv (Cornell University) · no summary yet**Drew Prinster et al.*2026*
386. **[Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction ↗](https://arxiv.org/abs/2603.24562) arXiv (Cornell University) · no summary yet**Haresh Rengaraj Rajamohan et al.*2026*
387. **[Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data ↗](https://arxiv.org/abs/2603.24903) arXiv (Cornell University) · no summary yet**Haresh Rengaraj Rajamohan et al.*2026*
388. **[Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts ↗](https://aclanthology.org/2026.lrec-1.521/) Proceedings of the Fifteenth Language Resources and Evaluation Conference · no summary yet**Seyoung Song et al.*2026*
389. **[AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis ↗](https://arxiv.org/abs/2607.28618) arXiv (Cornell University) · no summary yet**Bing Yan et al.*2026*
390. **[Multi-Task Bayesian In-Context Learning ↗](https://arxiv.org/abs/2606.20538) arXiv (Cornell University) · no summary yet**Qingyang Zhu, Eric Karl Oermann, Kyunghyun Cho*2026*
391. **[Why Alignment Must Precede Distillation: A Minimal Working Explanation ↗](https://arxiv.org/abs/2509.23667) arXiv (Cornell University) · no summary yet**Sungmin Cha, Kyunghyun Cho*2025*
392. **[Forget Forgetting: Continual Learning in a World of Abundant Memory ↗](https://arxiv.org/abs/2502.07274) arXiv:2502.07274 · no summary yet**Dongkyu Cho et al.*2025*
393. **[Machine Learning: a Lecture Note ↗](https://arxiv.org/abs/2505.03861) arXiv (Cornell University) · no summary yet**Kyunghyun Cho*2025*
394. **[Reference-Specific Unlearning Metrics Can Hide the Truth: A Reality Check ↗](https://arxiv.org/abs/2510.12981) arXiv (Cornell University) · no summary yet**Sungjun Cho et al.*2025*
395. **[Estimation of Time-to-Total Knee Replacement Surgery with Multimodal Modeling ↗](https://doi.org/10.58530/2025/0988) 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.*2025*
396. **[Predicting Time-to-Total Knee Replacement: Deep Learning vs Radiomics ↗](https://doi.org/10.58530/2025/2879) 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.*2025*
397. **[Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains ↗](https://doi.org/10.26083/tuprints-00028933) Technischen Universität Darmstadt · no summary yet**Nicolai Engelmann et al.*2025*
398. **[Test Time Scaling for Neural Processes ↗](https://doi.org/10.52202/085713-1865) neural information processing systems · no summary yet**Hyungi Lee et al.*2025*
399. **[None To Optima in Few Shots: Bayesian Optimization with MDP Priors ↗](https://arxiv.org/abs/2511.01006) arXiv (Cornell University) · no summary yet**Diantong Li, Kyunghyun Cho, Chong Liu*2025*
400. **[Temporal Generalization: A Reality Check ↗](https://arxiv.org/abs/2509.23487) arXiv (Cornell University) · no summary yet**Divyam Madaan, Sumit Chopra, Kyunghyun Cho*2025*

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