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Viewing Publication 1 - 100 from 20876

2023

Language Semantic Graph Guided Data-Efficient LearningWenxuan Ma 0001, Shuang Li 0001, Lincan Cai, Jingxuan Kang. nips 2023: [doi]

Classification of Heavy-tailed Features in High Dimensions: a Superstatistical ApproachUrte Adomaityte, Gabriele Sicuro, Pierpaolo Vivo. nips 2023: [doi]

Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimizationHaggai Agmon, Yoram Burak. nips 2023: [doi]

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum EntanglementYotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen. nips 2023: [doi]

Kiki or Bouba? Sound Symbolism in Vision-and-Language ModelsMorris Alper, Hadar Averbuch-Elor. nips 2023: [doi]

Unexpected Improvements to Expected Improvement for Bayesian OptimizationSebastian Ament, Samuel Daulton, David Eriksson, Maximilian Balandat, Eytan Bakshy. nips 2023: [doi]

Asymptotics of Bayesian Uncertainty Estimation in Random Features RegressionYoungsoo Baek, Samuel Berchuck, Sayan Mukherjee 0001. nips 2023: [doi]

Moral Responsibility for AI SystemsSander Beckers. nips 2023: [doi]

Unbiased learning of deep generative models with structured discrete representationsHenry C. Bendekgey, Gabe Hope, Erik Sudderth. nips 2023: [doi]

The expressive power of pooling in Graph Neural NetworksFilippo Maria Bianchi, Veronica Lachi. nips 2023: [doi]

On Certified Generalization in Structured PredictionBastian Boll, Christoph Schnörr. nips 2023: [doi]

PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control TasksIan Char, Jeff Schneider. nips 2023: [doi]

Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency MedicineEmma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A. Kim, Pranav Rajpurkar. nips 2023: [doi]

A unified framework for information-theoretic generalization boundsYifeng Chu, Maxim Raginsky. nips 2023: [doi]

Creating a Public Repository for Joining Private DataJames Cook, Milind Shyani, Nina Mishra. nips 2023: [doi]

AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation AnalysisJiarong Ding, Xuehu Zhu. nips 2023: [doi]

FiGURe: Simple and Efficient Unsupervised Node Representations with Filter AugmentationsChanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Sundararajan Sellamanickam, Ramakrishna Bairi. nips 2023: [doi]

Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text CommunicationChaofei Fan, Nick Hahn, Foram Kamdar, Donald T. Avansino, Guy H. Wilson, Leigh R. Hochberg, Krishna V. Shenoy, Jaimie M. Henderson, Francis R. Willett. nips 2023: [doi]

Evaluating Neuron Interpretation Methods of NLP ModelsYimin Fan, Fahim Dalvi, Nadir Durrani, Hassan Sajjad 0001. nips 2023: [doi]

Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent NetworksMatthew Farrugia-Roberts. nips 2023: [doi]

Sharp Recovery Thresholds of Tensor PCA Spectral AlgorithmsMichael Feldman, David Donoho. nips 2023: [doi]

The Adversarial Consistency of Surrogate Risks for Binary ClassificationNatalie Frank, Jonathan Niles-Weed. nips 2023: [doi]

Noether Embedding: Efficient Learning of Temporal RegularitiesChi Gao, Zidong Zhou, Luping Shi. nips 2023: [doi]

Optimal approximation using complex-valued neural networksPaul Geuchen, Felix Voigtländer. nips 2023: [doi]

How a Student becomes a Teacher: learning and forgetting through Spectral methodsLorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli. nips 2023: [doi]

Hierarchical clustering with dot products recovers hidden tree structureAnnie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley. nips 2023: [doi]

TabMT: Generating tabular data with masked transformersManbir Gulati, Paul F. Roysdon. nips 2023: [doi]

VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolutionSiobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk. nips 2023: [doi]

BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine LearningSheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu, Yoonjin Won, Aparna Chandramowlishwaran. nips 2023: [doi]

1-based Dictionary Learning via Matrix Volume OptimizationJingzhou Hu, Kejun Huang. nips 2023: [doi]

Thought Cloning: Learning to Think while Acting by Imitating Human ThinkingShengran Hu, Jeff Clune. nips 2023: [doi]

Causal normalizing flows: from theory to practiceAdrián Javaloy, Pablo Sánchez-Martín, Isabel Valera. nips 2023: [doi]

MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth CluesJinrang Jia, Zhenjia Li, Yifeng Shi. nips 2023: [doi]

Analysis of Variance of Multiple Causal NetworksZhongli Jiang, Dabao Zhang. nips 2023: [doi]

Expressivity-Preserving GNN SimulationFabian Jogl, Maximilian Thiessen, Thomas Gärtner 0001. nips 2023: [doi]

Scaling Laws for Hyperparameter OptimizationArlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka. nips 2023: [doi]

Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and widthDayal Singh Kalra, Maissam Barkeshli. nips 2023: [doi]

Detecting hidden confounding in observational data using multiple environmentsRickard Karlsson, Jesse H. Krijthe. nips 2023: [doi]

Diverse Shape Completion via Style Modulated Generative Adversarial NetworksWesley Khademi, Fuxin Li. nips 2023: [doi]

Collaborative Alignment of NLP ModelsFereshte Khani, Marco Túlio Ribeiro. nips 2023: [doi]

SANFlow: Semantic-Aware Normalizing Flow for Anomaly DetectionDaehyun Kim, Sungyong Baik, Tae Hyun Kim 0006. nips 2023: [doi]

Understanding Diffusion Objectives as the ELBO with Simple Data AugmentationDiederik P. Kingma, RuiQi Gao. nips 2023: [doi]

Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial SchedulingYoav Kolumbus, Menahem Levy, Noam Nisan. nips 2023: [doi]

Katakomba: Tools and Benchmarks for Data-Driven NetHackVladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov. nips 2023: [doi]

Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least SquaresChristian Kümmerle, Johannes Maly. nips 2023: [doi]

Optimization of Inter-group criteria for clustering with minimum size constraintsEduardo Sany Laber, Lucas Murtinho. nips 2023: [doi]

Learning to Reason and Memorize with Self-NotesJack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar. nips 2023: [doi]

Does a sparse ReLU network training problem always admit an optimum ?Quoc-Tung Le, Rémi Gribonval, Elisa Riccietti. nips 2023: [doi]

Adversarially Robust Learning with Uncertain Perturbation SetsTosca Lechner, Vinayak Pathak, Ruth Urner. nips 2023: [doi]

CAST: Cross-Attention in Space and Time for Video Action RecognitionDongho Lee, Jongseo Lee, Jinwoo Choi. nips 2023: [doi]

Implicit Contrastive Representation Learning with Guided Stop-gradientByeongchan Lee, Sehyun Lee. nips 2023: [doi]

Distributionally Robust Skeleton Learning of Discrete Bayesian NetworksYeshu Li, Brian D. Ziebart. nips 2023: [doi]

An Inverse Scaling Law for CLIP TrainingXianhang Li, Zeyu Wang 0008, Cihang Xie. nips 2023: [doi]

Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-TuningBaohao Liao, Shaomu Tan, Christof Monz. nips 2023: [doi]

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as MeasuresDavid Loiseaux, Luis Scoccola, Mathieu Carrière, Magnus Bakke Botnan, Steve Oudot. nips 2023: [doi]

Transient Neural Radiance Fields for Lidar View Synthesis and 3D ReconstructionAnagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kyros Kutulakos, David B. Lindell. nips 2023: [doi]

Sensitivity in Translation AveragingLalit Manam, Venu Madhav Govindu. nips 2023: [doi]

A Variational Perspective on High-Resolution ODEsHoomaan Maskan, Konstantinos Zygalakis, Alp Yurtsever. nips 2023: [doi]

A Logic for Expressing Log-Precision TransformersWilliam Merrill, Ashish Sabharwal. nips 2023: [doi]

Learning DAGs from Data with Few Root CausesPanagiotis Misiakos, Chris Wendler, Markus Püschel. nips 2023: [doi]

Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic NetworksAlexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy. nips 2023: [doi]

Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point CloudsNaoki Nishikawa, Yuichi Ike, Kenji Yamanishi. nips 2023: [doi]

Predicting a Protein's Stability under a Million MutationsJeffrey Ouyang-Zhang, Daniel Diaz, Adam Klivans, Philipp Krähenbühl. nips 2023: [doi]

Adjustable Robust Reinforcement Learning for Online 3D Bin PackingYuxin Pan, Yize Chen, Fangzhen Lin. nips 2023: [doi]

Self-Supervised Motion Magnification by Backpropagating Through Optical FlowZhaoying Pan, Daniel Geng, Andrew Owens. nips 2023: [doi]

Scattering Vision Transformer: Spectral Mixing MattersBadri N. Patro, Vijay Srinivas Agneeswaran. nips 2023: [doi]

NetHack is Hard to HackUlyana Piterbarg, Lerrel Pinto, Rob Fergus. nips 2023: [doi]

Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density ApproachPhillip Pope, David Jacobs. nips 2023: [doi]

Smooth, exact rotational symmetrization for deep learning on point cloudsSergey Pozdnyakov, Michele Ceriotti. nips 2023: [doi]

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual ImagesViraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman. nips 2023: [doi]

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single ImageSenthil Purushwalkam, Nikhil Naik. nips 2023: [doi]

The ToMCAT DatasetAdarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria A. Pfeifer, Diheng Zhang, Eric Andrews, Rick Champlin, Vincent Raymond, Meghavarshini Krishnaswamy, Clayton T. Morrison, Emily Butler, Kobus Barnard. nips 2023: [doi]

AndroidInTheWild: A Large-Scale Dataset For Android Device ControlChristopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy P. Lillicrap. nips 2023: [doi]

On the Ability of Graph Neural Networks to Model Interactions Between VerticesNoam Razin, Tom Verbin, Nadav Cohen. nips 2023: [doi]

Sample Complexity of Goal-Conditioned Hierarchical Reinforcement LearningArnaud Robert, Ciara Pike-Burke, Aldo A. Faisal. nips 2023: [doi]

Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spacesMartin Ryner, Jan Kronqvist, Johan Karlsson. nips 2023: [doi]

A General Framework for Robust G-Invariance in G-Equivariant NetworksSophia Sanborn, Nina Miolane. nips 2023: [doi]

RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path TracingAntoine Scardigli, Lukas Cavigelli, Lorenz K. Müller. nips 2023: [doi]

Minimum Description Length and Generalization Guarantees for Representation LearningMilad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski. nips 2023: [doi]

A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing TimeRanran Shen, Pan Peng 0004. nips 2023: [doi]

Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic ControlJann Spiess, Guido Imbens, Amar Venugopal. nips 2023: [doi]

Lo-Hi: Practical ML Drug Discovery BenchmarkSimon Steshin. nips 2023: [doi]

Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention NetworkZitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida. nips 2023: [doi]

Schema-learning and rebinding as mechanisms of in-context learning and emergenceSivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George. nips 2023: [doi]

Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features ModelPeter Súkeník, Marco Mondelli, Christoph H. Lampert. nips 2023: [doi]

Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-DimensionsKai Tan, Pierre C. Bellec. nips 2023: [doi]

Revisiting the Minimalist Approach to Offline Reinforcement LearningDenis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov. nips 2023: [doi]

CORL: Research-oriented Deep Offline Reinforcement Learning LibraryDenis Tarasov, Alexander Nikulin, Dmitry Akimov, Vladislav Kurenkov, Sergey Kolesnikov. nips 2023: [doi]

Addressing the speed-accuracy simulation trade-off for adaptive spiking neuronsLuke Taylor, Andrew King, Nicol S. Harper. nips 2023: [doi]

Optimal Preconditioning and Fisher Adaptive Langevin SamplingMichalis K. Titsias. nips 2023: [doi]

Data Minimization at Inference TimeCuong Tran, Nando Fioretto. nips 2023: [doi]

From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture ModelsRoy Uziel, Or Dinari, Oren Freifeld. nips 2023: [doi]

Hierarchical VAEs provide a normative account of motion processing in the primate brainHadi Vafaii, Jacob Yates, Daniel Butts. nips 2023: [doi]

Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional DataPraveen Venkatesh, Corbett Bennett, Sam Gale, Tamina K. Ramirez, Greggory Heller, Severine Durand, Shawn R. Olsen, Stefan Mihalas. nips 2023: [doi]

Error Discovery By Clustering Influence EmbeddingsFulton Wang, Julius Adebayo, Sarah Tan, Diego García-Olano, Narine Kokhlikyan. nips 2023: [doi]

Stabilized Neural Differential Equations for Learning Dynamics with Explicit ConstraintsAlistair White, Niki Kilbertus, Maximilian Gelbrecht, Niklas Boers. nips 2023: [doi]

Structure of universal formulasDmitry Yarotsky. nips 2023: [doi]

Grassmann Manifold Flows for Stable Shape GenerationRyoma Yataka, Kazuki Hirashima, Masashi Shiraishi. nips 2023: [doi]

ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision TransformerHaoran You, Huihong Shi, Yipin Guo, Yingyan Lin. nips 2023: [doi]

LOVM: Language-Only Vision Model SelectionOrr Zohar, Shih-Cheng Huang, Kuan-Chieh Wang, Serena Yeung. nips 2023: [doi]

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2023

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