Co-occurring keywords · papers mentioning both
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