Showing 21–40 of 119 results
/ Date/ Name
Dec 23, 2024WavePulse: Real-time Content Analytics of Radio LivestreamsApr 24, 2018On Learning Sparsely Used Dictionaries from Incomplete SamplesMay 29, 2025TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier ModelsDec 25, 2025Discovering Sparse Recovery Algorithms Using Neural Architecture SearchJun 20, 2018Learning ReLU Networks via Alternating MinimizationOct 8, 2018Algorithmic Aspects of Inverse Problems Using Generative ModelsJan 7, 2009A Theoretical Analysis of Joint ManifoldsApr 11, 2024DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning ModelsAug 3, 2023Circumventing Concept Erasure Methods For Text-to-Image Generative ModelsOct 24, 2022Active Learning for Single Neuron Models with Lipschitz Non-LinearitiesSep 11, 2022On The Computational Complexity of Self-AttentionFeb 4, 2022Selective Network Linearization for Efficient Private InferenceApr 11, 2019A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of EquationsJun 20, 2019Algorithmic Guarantees for Inverse Imaging with Untrained Network PriorsMay 13, 2021Provably Convergent Algorithms for Solving Inverse Problems Using Generative ModelsFeb 25, 2021Provable Compressed Sensing with Generative Priors via Langevin DynamicsFeb 17, 2024TuneTables: Context Optimization for Scalable Prior-Data Fitted NetworksJun 6, 2014Approximation Algorithms for Model-Based Compressive SensingDec 31, 2024Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex GeometriesJan 30, 2025WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training