Papers citing "Array Programming with NumPy"

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Title
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports Felix J. Dorfner Liv Jürgensen Leonhard Donle Fares Al Mohamad Tobias R. Bodenmann ... Thomas Schultz Albert E. Kim J. Merkow Keno K. Bressem Christopher P. Bridge LM&MA VLM 44 8 0 19 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 76 11 0 16 Feb 2024
Efficiency at Scale: Investigating the Performance of Diminutive Language Models in Clinical Tasks Niall Taylor U. Ghose Omid Rohanian Mohammadmahdi Nouriborji Andrey Kormilitzin David Clifton A. Nevado-Holgado LM&MA ALM 66 6 0 16 Feb 2024
Mixtures of Experts Unlock Parameter Scaling for Deep RL J. Obando-Ceron Ghada Sokar Timon Willi Clare Lyle Jesse Farebrother Jakob N. Foerster Gintare Karolina Dziugaite Doina Precup Pablo Samuel Castro 153 43 0 13 Feb 2024
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model Mark Rowland Wenliang Kevin Li Rémi Munos Clare Lyle Yunhao Tang Will Dabney OOD OffRL 44 1 0 12 Feb 2024
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations Zheyuan Hu Zhongqiang Zhang George Karniadakis Kenji Kawaguchi 107 15 0 12 Feb 2024
PyDMD: A Python package for robust dynamic mode decomposition Sara M. Ichinaga Francesco Andreuzzi N. Demo M. Tezzele Karl Lapo G. Rozza Steven L. Brunton J. Nathan Kutz AI4CE 90 16 0 12 Feb 2024
JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows Deniz A. Bezgin Aaron B. Buhendwa Nikolaus A. Adams 49 11 0 07 Feb 2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses Adel Javanmard Matthew Fahrbach Vahab Mirrokni 58 3 0 07 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 137 15 0 06 Feb 2024
Behind the Screen: Investigating ChatGPT's Dark Personality Traits and Conspiracy Beliefs Erik Weber Jérôme Rutinowski Markus Pauly 41 3 0 06 Feb 2024
Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory Alexander Mathiasen Hatem Helal Paul Balanca Adam Krzywaniak Ali Parviz Frederik Hvilshoj Bla.zej Banaszewski Carlo Luschi Andrew William Fitzgibbon 68 5 0 06 Feb 2024
Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants Abdoulaye Sakho Emmanuel Malherbe Erwan Scornet 136 3 0 06 Feb 2024
Curriculum reinforcement learning for quantum architecture search under hardware errors Yash J. Patel Akash Kundu M. Ostaszewski X. Bonet-Monroig Vedran Dunjko Onur Danaci 69 26 0 05 Feb 2024
Optimal sampling for stochastic and natural gradient descent Robert Gruhlke A. Nouy Philipp Trunschke 57 3 0 05 Feb 2024
cmaes : A Simple yet Practical Python Library for CMA-ES Masahiro Nomura Masashi Shibata 109 23 0 02 Feb 2024
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent Luca Della Libera Jacopo Andreoli Davide Dalle Pezze Mirco Ravanelli Gian Antonio Susto BDL 72 1 0 02 Feb 2024
SymbolicAI: A framework for logic-based approaches combining generative models and solvers Marius-Constantin Dinu Claudiu Leoveanu-Condrei Markus Holzleitner Werner Zellinger Sepp Hochreiter 82 11 0 01 Feb 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks Sizhuang He Bowen Li Yuhan Chen P. Perdikaris AI4CE PINN 160 36 0 01 Feb 2024
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias Nannan Huang Haytham M. Fayek Xiuzhen Zhang 52 2 0 01 Feb 2024
Rapid Integrator for a Class of Multi-Contact Systems Marion Anderson Shai Revzen 16 0 0 01 Feb 2024
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications Antoine Collas Rémi Flamary Alexandre Gramfort 51 2 0 24 Jan 2024
Event detection from novel data sources: Leveraging satellite imagery alongside GPS traces Ekin Ugurel Steffen Coenen Minda Zhou Chen Cynthia Chen 23 0 0 19 Jan 2024
Applications of flow models to the generation of correlated lattice QCD ensembles Ryan Abbott Aleksandar Botev D. Boyda D. Hackett G. Kanwar S. Racanière Danilo Jimenez Rezende Fernando Romero-López P. Shanahan Julian M. Urban AI4CE 474 11 0 19 Jan 2024
ZnTrack -- Data as Code Fabian Zills M. Schäfer S. Tovey Johannes Kästner Christian Holm 84 1 0 19 Jan 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 106 17 0 18 Jan 2024
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time Brian Rogers Chris J. Lintott S. Croft M. Schwamb James R. A. Davenport 18 1 0 16 Jan 2024
DynaHull: Density-centric Dynamic Point Filtering in Point Clouds Pejman Habibiroudkenar Risto Ojala Kari Tammi 3DPC 51 0 0 15 Jan 2024
Inferring Stellar Parameters from Iodine-Imprinted Keck/HIRES Spectra with Machine Learning Jude Gussman M. Rice 27 0 0 12 Jan 2024
Scientific Machine Learning Based Reduced-Order Models for Plasma Turbulence Simulations Constatin Gahr Ionut-Gabriel Farcas Frank Jenko AI4CE 50 5 0 11 Jan 2024
Multi-objective Feature Selection in Remote Health Monitoring Applications L. Nguyen Constantino Álvarez Casado Manuel Lage Cañellas Anirban Mukherjee Nhi H. Nguyen D. Jayagopi Miguel Bordallo López 52 0 0 10 Jan 2024
MERA: A Comprehensive LLM Evaluation in Russian Alena Fenogenova Artem Chervyakov Nikita Martynov Anastasia Kozlova Maria Tikhonova ... Nikita Savushkin Polina Mikhailova Denis Dimitrov Alexander Panchenko Sergey Markov ELM 97 12 0 09 Jan 2024
Improved motif-scaffolding with SE(3) flow matching Jason Yim Andrew Campbell Emile Mathieu Andrew Y. K. Foong Michael Gastegger ... Victor Garcia Satorras Bastiaan S. Veeling Frank Noé Regina Barzilay Tommi Jaakkola 86 37 0 08 Jan 2024
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks Tahseen Rabbani Jiahao Su Xiaoyu Liu David Chan Geoffrey Sangston Furong Huang 76 1 0 07 Jan 2024
CG-Kit: Code Generation Toolkit for Performant and Maintainable Variants of Source Code Applied to Flash-X Hydrodynamics Simulations Johann Rudi Youngjun Lee Aidan H. Chadha Mohamed Wahib K. Weide Jared P. OÑeal Anshu Dubey 56 1 0 07 Jan 2024
Model predictive altitude and velocity control in ergodic potential field directed multi-UAV search Luka Lanca Karlo Jakac Stefan Ivić 72 4 0 05 Jan 2024
AIRI: Predicting Retention Indices and their Uncertainties using Artificial Intelligence Lewis Y. Geer Stephen E. Stein W. G. Mallard D. Slotta 45 7 0 03 Jan 2024
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows Bálint Máté Franccois Fleuret AI4CE 119 0 0 01 Jan 2024
Xorbits: Automating Operator Tiling for Distributed Data Science Weizheng Lu Kaisheng He Xuye Qin Chengjie Li Zhong Wang Tao Yuan Xia Liao Feng Zhang Yueguo Chen Xiaoyong Du 21 1 0 29 Dec 2023
Active Third-Person Imitation Learning Timo Klein Susanna Weinberger Adish Singla Sebastian Tschiatschek 49 1 0 27 Dec 2023
Isolated pulsar population synthesis with simulation-based inference V. Graber M. Ronchi C. Pardo-Araujo N. Rea 51 5 0 22 Dec 2023
Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations Paul Stoewer Achim Schilling Andreas K. Maier Patrick Krauss 57 2 0 22 Dec 2023
Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks Taha Eghtesad Sirui Li Yevgeniy Vorobeychik Aron Laszka 32 1 0 22 Dec 2023
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery William de Vazelhes B. Mukhoty Xiao-Tong Yuan Bin Gu 73 0 0 19 Dec 2023
News Signals: An NLP Library for Text and Time Series Chris Hokamp D. Ghalandari Parsa Ghaffari AI4TS 178 1 0 18 Dec 2023
Learning Discrete-Time Major-Minor Mean Field Games Kai Cui Gokcce Dayanikli Mathieu Laurière Matthieu Geist Olivier Pietquin Heinz Koeppl 69 2 0 17 Dec 2023
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data Srikar Katta Harsh Parikh Cynthia Rudin A. Volfovsky OOD CML 47 2 0 17 Dec 2023
Learning Distributions on Manifolds with Free-form Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Ullrich Kothe DRL AI4CE 84 2 0 15 Dec 2023
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation Drew Priebe Burooj Ghani Dan Stowell 40 5 0 14 Dec 2023
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling Timothy D. Gebhard J. Wildberger Maximilian Dax Daniel Angerhausen S. Quanz Bernhard Schölkopf 53 6 0 13 Dec 2023