differentiable programming

Generalized Differentiable RANSAC ICCV 2023 GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NeurIPS 2023 Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming ACL 2023 Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions CLeaR 2023 Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023 Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning ICLR 2023 Machines of Finite Depth: Towards a Formalization of Neural Networks AAAI 2023 Neural Field Dynamics Model for Granular Object Piles Manipulation CoRL 2023 A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift CVPR 2022 Certifiable Robot Design Optimization using Differentiable Programming RSS 2022 Coupled Iterative Refinement for 6D Multi-Object Pose Estimation CVPR 2022 Deep Differentiable Logic Gate Networks NeurIPS 2022 Differentiable Analog Quantum Computing for Optimization and Control NeurIPS 2022 Differentiable DAG Sampling ICLR 2022 DiPS: Differentiable Policy for Sketching in Recommender Systems AAAI 2022 HoD-Net: High-Order Differentiable Deep Neural Networks and Applications AAAI 2022 JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data JMLR 2022 Learning Revenue-Maximizing Auctions With Differentiable Matching AISTATS 2022 Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NeurIPS 2022 Physical Simulation Layer for Accurate 3D Modeling CVPR 2022 SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage CVPR 2022 Toward Compositional Generalization in Object-Oriented World Modeling ICML 2022 XAI Beyond Classification: Interpretable Neural Clustering JMLR 2022 A Hypergradient Approach to Robust Regression without Correspondence ICLR 2021 An End-to-End Differentiable Framework for Contact-Aware Robot Design RSS 2021