Papers citing "Array Programming with NumPy"

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Title
Planning and Learning Using Adaptive Entropy Tree Search Piotr Kozakowski Mikolaj Pacek Piotr Milo's 40 2 0 12 Feb 2021
A proof of concept study for machine learning application to stenosis detection Gareth Jones Jim Parr P. Nithiarasu S. Pant 18 9 0 11 Feb 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 98 191 0 11 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 305 524 0 11 Feb 2021
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics A. Racca Luca Magri OOD AAML 52 64 0 09 Feb 2021
Ivy: Templated Deep Learning for Inter-Framework Portability Daniel Lenton Fabio Pardo Fabian Falck Stephen James R. Clark OOD VLM 81 9 0 04 Feb 2021
Disambiguation of weak supervision with exponential convergence rates Vivien A. Cabannes Francis R. Bach Alessandro Rudi 83 5 0 04 Feb 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC P. Jaini Didrik Nielsen Max Welling BDL 92 10 0 04 Feb 2021
Structure-preserving Gaussian Process Dynamics K. Ensinger Friedrich Solowjow Sebastian Ziesche Michael Tiemann Sebastian Trimpe 73 9 0 02 Feb 2021
Metrics and continuity in reinforcement learning Charline Le Lan Marc G. Bellemare Pablo Samuel Castro 58 35 0 02 Feb 2021
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring Mohammad Hesam Soleimani-Babakamali R. Sepasdar K. Nasrollahzadeh R. Sarlo 107 31 0 01 Feb 2021
PyTorch-Hebbian: facilitating local learning in a deep learning framework Jules Talloen J. Dambre Alexander Vandesompele SSL 40 4 0 31 Jan 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 149 320 0 28 Jan 2021
LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing Takashi Oya Shigeo Morishima RALM 24 9 0 28 Jan 2021
Variational Neural Annealing Mohamed Hibat-Allah E. Inack R. Wiersema R. Melko Juan Carrasquilla DRL 115 83 0 25 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 191 123 0 21 Jan 2021
Exponential Kernels with Latency in Hawkes Processes: Applications in Finance M. Carreira 39 3 0 16 Jan 2021
dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts P. Ashok Mathias Jackermeier Jan Křetínský Christoph Weinhuber Maximilian Weininger Mayank Yadav 41 18 0 15 Jan 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 265 198 0 12 Jan 2021
Rethinking Interactive Image Segmentation: Feature Space Annotation Jordão Bragantini A. X. Falcão Laurent Najman 43 7 0 12 Jan 2021
A Bayesian neural network predicts the dissolution of compact planetary systems M. Cranmer Daniel Tamayo H. Rein Peter W. Battaglia S. Hadden P. Armitage S. Ho D. Spergel BDL 112 28 0 11 Jan 2021
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference Neha R. Gupta Vittorio Orlandi Chia-Rui Chang Tianyu Wang Marco Morucci ... Xian Sun Angikar Ghosal Sudeepa Roy Cynthia Rudin A. Volfovsky CML AI4CE 35 4 0 06 Jan 2021
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words Xiaopeng Lu Tiancheng Zhao Kyusong Lee 71 27 0 01 Jan 2021
TensorX: Extensible API for Neural Network Model Design and Deployment Davide Nunes Luis M. Antunes 24 0 0 29 Dec 2020
Detecting Anomalous Invoice Line Items in the Legal Case Lifecycle V. Constantinou M. Kabiri AILaw 47 2 0 28 Dec 2020
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 98 97 0 28 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 123 111 0 20 Dec 2020
Stable Implementation of Probabilistic ODE Solvers Nicholas Kramer Philipp Hennig 175 20 0 18 Dec 2020
ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games Kevin Denamganai James Alfred Walker 53 7 0 17 Dec 2020
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks Jiahao Yao Paul Köttering Hans Gundlach Lin Lin Marin Bukov 95 14 0 12 Dec 2020
Reconstruction of Pairwise Interactions using Energy-Based Models Christoph Feinauer Carlo Lucibello 46 4 0 11 Dec 2020
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective A. R. Geist Sebastian Trimpe AI4CE 90 17 0 11 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 203 98 0 10 Dec 2020
Categorical Perception: A Groundwork for Deep Learning L. Bonnasse-Gahot Jean-Pierre Nadal 39 8 0 10 Dec 2020
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance Usmann Khan Lun Wang Jithendaraa Subramanian Joseph P. Near Basel Alomair 19 2 0 09 Dec 2020
Planet cartography with neural learned regularization A. Ramos E. Pallé 54 3 0 08 Dec 2020
Parallel Training of Deep Networks with Local Updates Michael Laskin Luke Metz Seth Nabarrao Mark Saroufim Badreddine Noune Carlo Luschi Jascha Narain Sohl-Dickstein Pieter Abbeel FedML 117 27 0 07 Dec 2020
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 98 50 0 07 Dec 2020
Machine learning pipeline for quantum state estimation with incomplete measurements Onur Danaci Sanjaya Lohani Brian T. Kirby R. Glasser 87 22 0 05 Dec 2020
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers Wencheng Han Xingping Dong Fahad Shahbaz Khan Ling Shao Jianbing Shen 62 73 0 04 Dec 2020
Generative Capacity of Probabilistic Protein Sequence Models Francisco McGee Quentin Novinger R. Levy Vincenzo Carnevale A. Haldane 81 34 0 03 Dec 2020
Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time Benjamin Kurt Miller A. Cole Gilles Louppe Christoph Weniger 58 19 0 27 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 110 30 0 25 Nov 2020
An end-to-end data-driven optimisation framework for constrained trajectories F. Dewez Benjamin Guedj Arthur Talpaert V. Vandewalle 14 0 0 24 Nov 2020
Anderson acceleration of coordinate descent Quentin Bertrand Mathurin Massias 40 12 0 19 Nov 2020
Towards Online Monitoring and Data-driven Control: A Study of Segmentation Algorithms for Laser Powder Bed Fusion Processes A. Nettekoven S. Fish J. Beaman Ufuk Topcu 3DV 17 1 0 18 Nov 2020
Survey2Survey: A deep learning generative model approach for cross-survey image mapping B. Buncher A. N. Sharma M. Kind MedIm 34 6 0 13 Nov 2020
tvopt: A Python Framework for Time-Varying Optimization Nicola Bastianello 60 11 0 12 Nov 2020
Neural network for estimation of optical characteristics of optically active and turbid scattering media A. Alavi MedIm 11 0 0 12 Nov 2020
Cryo-RALib -- a modular library for accelerating alignment in cryo-EM Szu-Chi Chung Cheng-Yu Hung Huei-Lun Siao Hung-Yi Wu Wei-Hau Chang I. Tu 16 1 0 11 Nov 2020