The following pages link to extracted from (P1689):
Displaying 50 items.
- An implicit level set algorithm for hydraulic fracturing with a stress-layer asymptote (Q6437607) (← links)
- Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension (Q6437669) (← links)
- Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains (Q6437672) (← links)
- SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models (Q6437700) (← links)
- Directed Message Passing Based on Attention for Prediction of Molecular Properties (Q6437758) (← links)
- Segmented GRAND: Combining Sub-patterns in Near-ML Order (Q6437766) (← links)
- Probabilistic Exponential Integrators (Q6437781) (← links)
- ReSync: Riemannian Subgradient-based Robust Rotation Synchronization (Q6437808) (← links)
- Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata (Q6437828) (← links)
- Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees (Q6437835) (← links)
- Error Feedback Shines when Features are Rare (Q6437837) (← links)
- Deep Learning-enabled MCMC for Probabilistic State Estimation in District Heating Grids (Q6437865) (← links)
- Task-aware Distributed Source Coding under Dynamic Bandwidth (Q6437874) (← links)
- The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning (Q6437916) (← links)
- Generative Adversarial Reduced Order Modelling (Q6437941) (← links)
- Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback (Q6437978) (← links)
- Fast Online Node Labeling for Very Large Graphs (Q6438010) (← links)
- The Representation Jensen-Shannon Divergence (Q6438041) (← links)
- Tree-Based Diffusion Schr\"odinger Bridge with Applications to Wasserstein Barycenters (Q6438068) (← links)
- Computation of Reliability Statistics for Finite Samples of Success-Failure Experiments (Q6438073) (← links)
- Stochastic First-Order Algorithms for Constrained Distributionally Robust Optimization (Q6438075) (← links)
- Fractional model of COVID--19 with pathogens as shedding effects (Q6438082) (← links)
- On Consistent Bayesian Inference from Synthetic Data (Q6438097) (← links)
- Geometric deep learning approach to knot theory (Q6438100) (← links)
- Generalizing Adam to Manifolds for Efficiently Training Transformers (Q6438114) (← links)
- Large population limit for a multilayer SIR model including households and workplaces (Q6438143) (← links)
- Error Bounds for Learning with Vector-Valued Random Features (Q6438160) (← links)
- Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments (Q6438182) (← links)
- Comparing BilevelJuMP.jl Formulations: Support Vector Regression Hyperparameter Tuning (Q6438190) (← links)
- Optimal Resource Allocation with Delay Guarantees for Network Slicing in Disaggregated RAN (Q6438191) (← links)
- Learning from Integral Losses in Physics Informed Neural Networks (Q6438201) (← links)
- Computing $e$-th roots in number fields (Q6438205) (← links)
- On the Noise Sensitivity of the Randomized SVD (Q6438213) (← links)
- Reaching an equilibrium of prices and holdings of goods through direct buying and selling (Q6438236) (← links)
- Knowledge Distillation Performs Partial Variance Reduction (Q6438237) (← links)
- Reward Collapse in Aligning Large Language Models (Q6438249) (← links)
- A chiral aperiodic monotile (Q6438267) (← links)
- Serre's uniformity question and proper subgroups of $C_{ns}^+(p)$ (Q6438274) (← links)
- Communication Efficient Distributed Newton Method with Fast Convergence Rates (Q6438311) (← links)
- On a tropicalization of planar polynomial ODEs with finitely many structurally stable phase portraits (Q6438327) (← links)
- A reduced conjugate gradient basis method for fractional diffusion (Q6438331) (← links)
- Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution (Q6438338) (← links)
- Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration (Q6438368) (← links)
- Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching (Q6438381) (← links)
- Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms (Q6438383) (← links)
- StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation (Q6438384) (← links)
- Towards Constituting Mathematical Structures for Learning to Optimize (Q6438409) (← links)
- Predicting Rare Events by Shrinking Towards Proportional Odds (Q6438437) (← links)
- Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization (Q6438439) (← links)
- It begins with a boundary: A geometric view on probabilistically robust learning (Q6438450) (← links)
