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title: "NeurIPS 2023 — all accepted papers, page 32 — Elamur Research"
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# NeurIPS 2023: all accepted papers

3,540 papers · page 32 of 36 · the most cited first · [← NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/31/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/) … [30](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/30/) [31](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/31/) **32** [33](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/33/) … [36](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/36/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/33/)

3101. **[Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation ↗](https://doi.org/10.52202/075280-3514)**Rui‐Bo Gao, Michael Deistler, Jakob H. Macke
3102. **[Generalized Belief Transport ↗](https://doi.org/10.52202/075280-1841)**Junqi Wang, Pei Wang, Patrick Shafto
3103. **[Generalized Weighted Path Consistency for Mastering Atari Games ↗](https://doi.org/10.52202/075280-2190)**Dengwei Zhao, Shikui Tu, Lei Xu
3104. **[Generalized equivalences between subsampling and ridge regularization ↗](https://doi.org/10.52202/075280-3452)**Pratik Patil, Jin‐Hong Du
3105. **[Generalized test utilities for long-tail performance in extreme multi-label classification ↗](https://doi.org/10.52202/075280-0978)**Erik Schultheis, Marek Wydmuch, Wojciech Kotłowski et al.
3106. **[Generating QM1B with PySCFIPU ↗](https://doi.org/10.52202/075280-2402)**Alexander Mathiasen, Hatem Helal, Kerstin Kläser et al.
3107. **[Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning ↗](https://doi.org/10.52202/075280-1731)**Changyu Chen, Ramesha Karunasena, Thành Luân Nguyễn et al.
3108. **[Generator Born from Classifier ↗](https://doi.org/10.52202/075280-2356)**Runpeng Yu, Xinchao Wang
3109. **[Generator Identification for Linear SDEs with Additive and Multiplicative Noise ↗](https://doi.org/10.52202/075280-2801)**Yuanyuan Wang, Xi Geng, Wei Huang et al.
3110. **[Geometric Analysis of Matrix Sensing over Graphs ↗](https://doi.org/10.52202/075280-2645)**Haixiang Zhang, Ying Chen, Javad Lavaei
3111. **[GloptiNets: Scalable Non-Convex Optimization with Certificates ↗](https://doi.org/10.52202/075280-2414)**Gaspard Beugnot, Julien Mairal, Alessandro Rudi
3112. **[GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces ↗](https://doi.org/10.52202/075280-0154)**Josephine Lamp, Mark Derdzinski, Christopher Hannemann et al.
3113. **[Goal Driven Discovery of Distributional Differences via Language Descriptions ↗](https://doi.org/10.52202/075280-1748)**Ruiqi Zhong, Peter Zhang, Steve Li et al.
3114. **[Goal-conditioned Offline Planning from Curious Exploration ↗](https://doi.org/10.52202/075280-0676)**Marco Bagatella, Georg Martius
3115. **[Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity ↗](https://doi.org/10.52202/075280-2659)**Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang et al.
3116. **[Gradient-Based Feature Learning under Structured Data ↗](https://doi.org/10.52202/075280-3129)**Alireza Mousavi-Hosseini, Denny C.-Y. Wu, Taiji Suzuki et al.
3117. **[Graph-Structured Gaussian Processes for Transferable Graph Learning ↗](https://doi.org/10.52202/075280-2214)**Jun Wu, Lisa Ainsworth, Andrew D. B. Leakey et al.
3118. **[Grassmann Manifold Flows for Stable Shape Generation ↗](https://doi.org/10.52202/075280-3166)**Ryoma Yataka, Kazuki Hirashima, Masashi Shiraishi
3119. **[Grounding Neural Inference with Satisfiability Modulo Theories ↗](https://doi.org/10.52202/075280-0988)**Zifan Wang, Saranya Vijayakumar, Kaiji Lu et al.
3120. **[Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability ↗](https://doi.org/10.52202/075280-0888)**Revan MacQueen, James R. Wright
3121. **[H-Consistency Bounds: Characterization and Extensions ↗](https://doi.org/10.52202/075280-0199)**Anqi Mao, Mehryar Mohri, Yutao Zhong
3122. **[H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training ↗](https://doi.org/10.52202/075280-1664)**Yuzhong Wang, Xu Han, Weilin Zhao et al.
3123. **[Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products ↗](https://doi.org/10.52202/075280-2289)**Tamás Sarlós, Xingyou Song, David P. Woodruff et al.
3124. **[High-dimensional Contextual Bandit Problem without Sparsity ↗](https://doi.org/10.52202/075280-2150)**Junpei Komiyama, Masaaki Imaizumi
3125. **[History Filtering in Imperfect Information Games: Algorithms and Complexity ↗](https://doi.org/10.52202/075280-1891)**Christopher Solinas, Douglas Rebstock, Nathan Sturtevant et al.
3126. **[How do Minimum-Norm Shallow Denoisers Look in Function Space? ↗](https://doi.org/10.52202/075280-2509)**Chen Zeno, Greg Ongie, Yaniv Blumenfeld et al.
3127. **[How many samples are needed to leverage smoothness? ↗](https://doi.org/10.52202/075280-1164)**Vivien Cabannes, Stefano Vigogna
3128. **[How to Data in Datathons ↗](https://doi.org/10.52202/075280-0458)**Carlos Mougan, Richard R. Plant, Clare Teng et al.
3129. **[HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection ↗](https://doi.org/10.52202/075280-3435)**Xingbo Du, Chonghua Wang, Ruizhe Zhong et al.
3130. **[Hybrid Policy Optimization from Imperfect Demonstrations ↗](https://doi.org/10.52202/075280-0207)**Hanlin Yang, Chao Yu, Peng Sun et al.
3131. **[Hyper-HMM: aligning human brains and semantic features in a common latent event space ↗](https://doi.org/10.52202/075280-1174)**Caroline Lee, Jane Han, Ma Feilong et al.
3132. **[Hypothesis Selection with Memory Constraints ↗](https://doi.org/10.52202/075280-2195)**Maryam Aliakbarpour, Mark Bun, Adam Smith
3133. **[IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval ↗](https://doi.org/10.52202/075280-2502)**Haixin Wang, Hao Wu, Jinan Sun et al.
3134. **[Ignorance is Bliss: Robust Control via Information Gating ↗](https://doi.org/10.52202/075280-1676)**Manan Tomar, Riashat Islam, Matthew Taylor et al.
3135. **[Im-Promptu: In-Context Composition from Image Prompts ↗](https://doi.org/10.52202/075280-2318)**Bhishma Dedhia, Michael Chang, Jake Snell et al.
3136. **[Imitation Learning from Vague Feedback ↗](https://doi.org/10.52202/075280-2094)**Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang et al.
3137. **[Implicit Contrastive Representation Learning with Guided Stop-gradient ↗](https://doi.org/10.52202/075280-1347)**Byeongchan Lee, SeHyun LEE
3138. **[Importance-aware Co-teaching for Offline Model-based Optimization ↗](https://doi.org/10.52202/075280-2432)**Ye Yuan, Can Chen, Zixuan Liu et al.
3139. **[Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures ↗](https://doi.org/10.52202/075280-1955)**Hamish Flynn, David Reeb, Melih Kandemir et al.
3140. **[Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning ↗](https://doi.org/10.52202/075280-1022)**Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini et al.
3141. **[Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization ↗](https://doi.org/10.52202/075280-2421)**Russell Hart, Linlin Yu, Yifei Lou et al.
3142. **[Improving the Knowledge Gradient Algorithm ↗](https://doi.org/10.52202/075280-2698)**Le Yang, Siyang Gao, Chin Pang Ho
3143. **[Incentivized Communication for Federated Bandits ↗](https://doi.org/10.52202/075280-2370)**Zhepei Wei, Chuanhao Li, Haifeng Xu et al.
3144. **[Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills ↗](https://doi.org/10.52202/075280-2244)**Denis Blessing, Onur Celik, Xiaogang Jia et al.
3145. **[Information-guided Planning: An Online Approach for Partially Observable Problems ↗](https://doi.org/10.52202/075280-3027)**Matheus Aparecido Do Carmo Alves, Amokh Varma, Yehia Elkhatib et al.
3146. **[Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks ↗](https://doi.org/10.52202/075280-0336)**Roey Magen, Ohad Shamir
3147. **[Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction ↗](https://doi.org/10.52202/075280-0528)**Yu-Kun Qiu, Guo-Hao Xu, Wei-Shi Zheng
3148. **[Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes ↗](https://doi.org/10.52202/075280-1088)**Yixuan Zhang, Quyu Kong, Feng Zhou
3149. **[Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions ↗](https://doi.org/10.52202/075280-1609)**Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano et al.
3150. **[Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction ↗](https://doi.org/10.52202/075280-2718)**Ruoyu Li, Qing Li, Yu bao Zhang et al.
3151. **[Intervention Generalization: A View from Factor Graph Models ↗](https://doi.org/10.52202/075280-1893)**Gecia Bravo-Hermsdorff, David Watson, Jialin Yu et al.
3152. **[Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective ↗](https://doi.org/10.52202/075280-2457)**João B. S. Carvalho, Mengtao Zhang, Robin Geyer et al.
3153. **[Is Learning in Games Good for the Learners? ↗](https://doi.org/10.52202/075280-2362)**William Brown, Jon Schneider, Kiran Vodrahalli
3154. **[Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics ↗](https://doi.org/10.52202/075280-1630)**Anton Yu. Voronov, Mikhail Khoroshikh, Артем Вікторович Бабенко et al.
3155. **[Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning ↗](https://doi.org/10.52202/075280-1698)**In Huh, Changwook Jeong, Jae Myung Choe et al.
3156. **[K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing ↗](https://doi.org/10.52202/075280-1011)**Shuai Li, Yingjie Zhang, Hongtu Zhu et al.
3157. **[Katakomba: Tools and Benchmarks for Data-Driven NetHack ↗](https://doi.org/10.52202/075280-2305)**Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov et al.
3158. **[Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control ↗](https://doi.org/10.52202/075280-0231)**Chao Li, Chen Gong, Qiang He et al.
3159. **[Kernel Quadrature with Randomly Pivoted Cholesky ↗](https://doi.org/10.52202/075280-2875)**Ethan N. Epperly, Elvira Moreno
3160. **[Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization ↗](https://doi.org/10.52202/075280-2144)**Clément Bénard, Brian Staber, Sébastien da Veiga
3161. **[Kernel-Based Tests for Likelihood-Free Hypothesis Testing ↗](https://doi.org/10.52202/075280-0690)**Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy et al.
3162. **[Kernelized Cumulants: Beyond Kernel Mean Embeddings ↗](https://doi.org/10.52202/075280-0488)**Patric Bonnier, Harald Oberhauser, Zoltán Szabó A
3163. **[Kissing to Find a Match: Efficient Low-Rank Permutation Representation ↗](https://doi.org/10.52202/075280-2103)**Hannah Dröge, Zorah Lähner, Yuval Bahat et al.
3164. **[Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards ↗](https://doi.org/10.52202/075280-2642)**Hao Qin, Kwang-Sung Jun, Chicheng Zhang
3165. **[L2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting ↗](https://doi.org/10.52202/075280-3436)**Xiaotong Yuan, Ping Li
3166. **[LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer ↗](https://doi.org/10.52202/075280-1897)**Haoyu Chen, Hao Tang, Radu Timofte et al.
3167. **[LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition ↗](https://doi.org/10.52202/075280-2016)**Haoxuan Qu, Xiaofei Hui, Yujun Cai et al.
3168. **[Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model ↗](https://doi.org/10.52202/075280-0018)**Hui Guo, Boyu Wang, Grace Yi
3169. **[LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas ↗](https://doi.org/10.52202/075280-2234)**Kensen Shi, Hanjun Dai, Wen-Ding Li et al.
3170. **[Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. ↗](https://doi.org/10.52202/075280-1905)**Eghbal A. Hosseini, Evelina G. Fedorenko
3171. **[Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows ↗](https://doi.org/10.52202/075280-0030)**David Skrill, Sam Norman-Haignere
3172. **[Large-Scale Distributed Learning via Private On-Device LSH ↗](https://doi.org/10.52202/075280-0711)**Tahseen Rabbani, Marco Bornstein, Furong Huang
3173. **[Latent Graph Inference with Limited Supervision ↗](https://doi.org/10.52202/075280-1412)**Jianglin Lu, Yi Xu, Huan Wang et al.
3174. **[Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction ↗](https://doi.org/10.52202/075280-3163)**Yuanhao Wang, Ramzi Idoughi, Heidrich Wolfgang
3175. **[Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback ↗](https://doi.org/10.52202/075280-2579)**Canzhe Zhao, Ruofeng Yang, Baoxiang Wang et al.
3176. **[Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles ↗](https://doi.org/10.52202/075280-2177)**Ben R. Ruben, Cengiz Pehlevan
3177. **[Learning Dictionary for Visual Attention ↗](https://doi.org/10.52202/075280-2470)**Yingjie Liu, Xuan Liu, Hui Yu et al.
3178. **[Learning Efficient Surrogate Dynamic Models with Graph Spline Networks ↗](https://doi.org/10.52202/075280-2287)**Chuanbo Hua, Federico Berto, Michael Poli et al.
3179. **[Learning Exponential Families from Truncated Samples ↗](https://doi.org/10.52202/075280-1513)**Jane Lee, Andre Wibisono, Emmanouil Zampetakis
3180. **[Learning From Biased Soft Labels ↗](https://doi.org/10.52202/075280-2603)**Hua Yuan, Yu Shi, Ning Xu et al.
3181. **[Learning Interpretable Low-dimensional Representation via Physical Symmetry ↗](https://doi.org/10.52202/075280-2114)**Xuanjie Liu, Daniel Chin, Yichen Huang et al.
3182. **[Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head ↗](https://doi.org/10.52202/075280-0214)**Alan Wang, Minh Quan Nguyen, Mert Rory Sabuncu
3183. **[Learning Large-Scale MTP2 Gaussian Graphical Models via Bridge-Block Decomposition ↗](https://doi.org/10.52202/075280-3200)**Xiwen Wang, Jiaxi Ying, Daniel P. Palomar
3184. **[Learning Large-scale Neural Fields via Context Pruned Meta-Learning ↗](https://doi.org/10.52202/075280-3174)**Jihoon Tack, Subin Kim, Sihyun Yu et al.
3185. **[Learning List-Level Domain-Invariant Representations for Ranking ↗](https://doi.org/10.52202/075280-2824)**Ruicheng Xian, Honglei Zhuang, Zhen Qin et al.
3186. **[Learning Modulated Transformation in GANs ↗](https://doi.org/10.52202/075280-0302)**Ceyuan Yang, Q. Zhang, Yinghao Xu et al.
3187. **[Learning Provably Robust Estimators for Inverse Problems via Jittering ↗](https://doi.org/10.52202/075280-2503)**Anselm Krainovic, Mahdi Soltanolkotabi, Reinhard Heckel
3188. **[Learning Rate Free Sampling in Constrained Domains ↗](https://doi.org/10.52202/075280-2852)**Louis Sharrock, Lester Mackey, Christopher Nemeth
3189. **[Learning Reliable Logical Rules with SATNet ↗](https://doi.org/10.52202/075280-0654)**Zhaoyu Li, Jinpei Guo, Yuhe Jiang et al.
3190. **[Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer ↗](https://doi.org/10.52202/075280-3341)**Jianwei Zhang, Suren Jayasuriya, Visar Berisha
3191. **[Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States ↗](https://doi.org/10.52202/075280-1147)**Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki
3192. **[Learning Visual Prior via Generative Pre-Training ↗](https://doi.org/10.52202/075280-3092)**Jinheng Xie, Kai Ye, Yudong Li et al.
3193. **[Learning a 1-layer conditional generative model in total variation ↗](https://doi.org/10.52202/075280-1873)**Ajil Jalal, Justin Kang, Ananya Uppal et al.
3194. **[Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs ↗](https://doi.org/10.52202/075280-1031)**Dmitry Chistikov, Matthias Englert, Ranko Lazić
3195. **[Learning and processing the ordinal information of temporal sequences in recurrent neural circuits ↗](https://doi.org/10.52202/075280-1473)**Xiaolong Zou, Zhikun Chu, Qinghai Guo et al.
3196. **[Learning from Visual Observation via Offline Pretrained State-to-Go Transformer ↗](https://doi.org/10.52202/075280-2604)**Bohan Zhou, Ke Li, Jiechuan Jiang et al.
3197. **[Learning the Efficient Frontier ↗](https://doi.org/10.52202/075280-0965)**Philippe Chatigny, Ivan Sergienko, Ryan Ferguson et al.
3198. **[Lexinvariant Language Models ↗](https://doi.org/10.52202/075280-1042)**Qian Huang, Eric Zelikman, Sarah Chen et al.
3199. **[Limits, approximation and size transferability for GNNs on sparse graphs via graphops ↗](https://doi.org/10.52202/075280-1791)**Thien Le, Stefanie Jegelka
3200. **[Linear Time Algorithms for k-means with Multi-Swap Local Search ↗](https://doi.org/10.52202/075280-1978)**Junyu Huang, Qilong Feng, Ziyun Huang et al.

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