Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy p29705-29718 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation

Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle p107350-107378 from Advances in Neural Information Processing Systems 37

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Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space

Zitao Chen, Yinjun Jia, Zitong Tian, Wei-Ying Ma, Yanyan Lan p160076-160105 from Advances in Neural Information Processing Systems 38

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Manipulating Feature Visualizations with Gradient Slingshots

Dilyara Bareeva, Marina Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck, Sebastian Lapuschkin, Kirill Bykov p184849-184886 from Advances in Neural Information Processing Systems 38

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MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts

Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An p41767-41802 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Many LLMs Are More Utilitarian Than One

Anita Keshmirian, Razan Baltaji, Babak Hemmatian, Hadi Asghari, Lav Varshney p24903-24949 from Advances in Neural Information Processing Systems 38

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Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Qihe Huang, Zhengyang Zhou, Yangze Li, Kuo Yang, Binwu Wang, Yang Wang p184538-184569 from Advances in Neural Information Processing Systems 38

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Many-body Approximation for Non-negative Tensors

Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara p74077-74102 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Many-Shot In-Context Learning

Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle p76930-76966 from Advances in Neural Information Processing Systems 37

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Many-shot Jailbreaking

Cem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Fracesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, et al. p129696-129742 from Advances in Neural Information Processing Systems 37

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MAP Estimation with Denoisers: Convergence Rates and Guarantees

Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal p74406-74442 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets

Cherie Ho, Jiaye Zou, Omar Alama, Sai Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer p64433-64453 from Advances in Neural Information Processing Systems 37

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MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification

Junjie Zhou, WEI SHAO, Yagao Yue, Wei Mu, Peng Wan, Qi Zhu, Daoqiang Zhang p129228-129257 from Advances in Neural Information Processing Systems 38

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MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Zhuo Le, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger Dannenberg, Wenhu Chen, Gus Xia, et al. p39626-39647 from Advances in Neural Information Processing Systems 36

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Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation

Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li p27267-27279 from Advances in Neural Information Processing Systems 35

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Marginal Causal Flows for Validation and Inference

Daniel De Vassimon Manela, Laura Battaglia, Robin Evans p9920-9949 from Advances in Neural Information Processing Systems 37

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Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton p52648-52691 from Advances in Neural Information Processing Systems 36

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Marginal-Nonuniform PAC Learnability

Steve Hanneke, Shay Moran, Maximilian Thiessen p179679-179701 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack

Pratik Karmakar, Debabrota Basu p72412-72445 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Shyam Sudhakaran, Miguel González-Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, Sebastian Risi p54213-54227 from Advances in Neural Information Processing Systems 36

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Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients

Kyurae Kim, Jisu Oh, Jacob Gardner, Adji Bousso Dieng, Hongseok Kim p34802-34816 from Advances in Neural Information Processing Systems 35

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Markov Equivalence and Consistency in Differentiable Structure Learning

Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam p91756-91797 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Markov Persuasion Processes: Learning to Persuade From Scratch

Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti p78134-78171 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Alberto Cabezas, Louis Sharrock, Christopher Nemeth p104383-104411 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation

Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space

Manipulating Feature Visualizations with Gradient Slingshots

MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts

Many LLMs Are More Utilitarian Than One

Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation

Many-body Approximation for Non-negative Tensors

Many-Shot In-Context Learning

Many-shot Jailbreaking

MAP Estimation with Denoisers: Convergence Rates and Guarantees

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets

MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation

Marginal Causal Flows for Validation and Inference

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

Marginal-Nonuniform PAC Learnability

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack

MarioGPT: Open-Ended Text2Level Generation through Large Language Models

Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients

Markov Equivalence and Consistency in Differentiable Structure Learning

Markov Persuasion Processes: Learning to Persuade From Scratch

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

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