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piecewise linear

39 papers

PL

Papers

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models ICLR 2025 Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction NeurIPS 2024 Are Logistic Models Really Interpretable? IJCAI 2024 Expressivity of ReLU-Networks under Convex Relaxations ICLR 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond NeurIPS 2024 Deep Contract Design via Discontinuous Networks NeurIPS 2023 Exact Verification of ReLU Neural Control Barrier Functions NeurIPS 2023 Generalized Teacher Forcing for Learning Chaotic Dynamics ICML 2023 SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries CVPR 2023 Adaptively Partitioning Max-Affine Estimators for Convex Regression AISTATS 2022 A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022 GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks WACV 2022 Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022 On Embeddings for Numerical Features in Tabular Deep Learning NeurIPS 2022 Sound and Complete Neural Network Repair with Minimality and Locality Guarantees ICLR 2022 Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs ICML 2022 Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NeurIPS 2022 Monotonic Kronecker-Factored Lattice ICLR 2021 Multi-Adversarial Learning for Cross-Lingual Word Embeddings NAACL 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020 Certified Monotonic Neural Networks NeurIPS 2020 Empirical Bounds on Linear Regions of Deep Rectifier Networks AAAI 2020 L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization WACV 2020