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title: "NeurIPS 2025 — all accepted papers, page 59 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 59 of 59, the most cited first; those with our summary link to it."
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# NeurIPS 2025: all accepted papers

5,819 papers · page 59 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/58/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [50](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/50/) … [58](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/58/) **59**

5801. **[\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs ↗](https://doi.org/10.52202/085713-4151)**Erwan Escudie, Matthia Sabatelli, Olivier Buffet et al.
5802. **[iMIND: Insightful Multi-subject Invariant Neural Decoding ↗](https://doi.org/10.52202/085713-4975)**Zixiang Yin, Jiarui Li, Zhengming Ding
5803. **[macOSWorld: A Multilingual Interactive Benchmark for GUI Agents ↗](https://doi.org/10.52202/085713-4468)**Pei Yang, Hai Ci, Mike Zheng Shou
5804. **[metaTextGrad: Automatically optimizing language model optimizers ↗](https://doi.org/10.52202/085713-5107)**Guowei Xu, Mert Yüksekgönül, Carlos Guestrin et al.
5805. **[miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward ↗](https://doi.org/10.52202/085713-2671)**Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
5806. **[mmWalk: Towards Multi-modal Multi-view Walking Assistance ↗](https://doi.org/10.52202/085713-4076)**Kedi Ying, Ruiping Liu, Chongyan Chen et al.
5807. **[msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML ↗](https://doi.org/10.52202/085713-2415)**Zhaolan Huang, Emmanuel Baccelli
5808. **[nvBench 2.0: Resolving Ambiguity in Text-to-Visualization through Stepwise Reasoning ↗](https://doi.org/10.52202/085713-4172)**Tianqi Luo, Chuhan Huang, Leixian Shen et al.
5809. **[pLSTM: parallelizable Linear Source Transition Mark networks ↗](https://doi.org/10.52202/085713-0313)**Korbinian Pöppel, Richard Freinschlag, Thomas Schmied et al.
5810. **[rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset ↗](https://doi.org/10.52202/085713-1967)**Yifei Liu, Li Lyna Zhang, Yi Zhu et al.
5811. **[scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling ↗](https://doi.org/10.52202/085713-4706)**Joel Dapello, Marcel Nassar, Ridvan Eksi et al.
5812. **[scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery ↗](https://doi.org/10.52202/085713-0043)**Yiming Gao, Zhen Wang, Jefferson Chen et al.
5813. **[scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy ↗](https://doi.org/10.52202/085713-2160)**Ashesh Ashesh, Florian Jug
5814. **[seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models ↗](https://doi.org/10.52202/085713-1104)**Hafez Ghaemi, Eilif Benjamin Muller, Shahab Bakhtiari
5815. **[un²CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP ↗](https://doi.org/10.52202/085713-0924)**Yinqi Li, Jiahe Zhao, Hong Chang et al.
5816. **[vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models ↗](https://doi.org/10.52202/085713-0763)**Leonardo Zini, Elia Frigieri, Sebastiano Aloscari et al.
5817. **[Δ Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization ↗](https://doi.org/10.52202/085713-2686)**Lin Zhu, Yifeng Yang, Xinbing Wang et al.
5818. **[ε-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data ↗](https://doi.org/10.52202/085713-1025)**Sheida Rahnamai Kordasiabi, Damian Dalle Nogare, Florian Jug
5819. **[λ-Orthogonality Regularization for Compatible Representation Learning ↗](https://doi.org/10.52202/085713-0974)**Simone Ricci, Niccolò Biondi, Federico Pernici et al.

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