The following pages link to has companion code repository (P1687):
Displaying 50 items.
- 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)
- Large-scale Ridesharing DARP Instances Based on Real Travel Demand (Q6438461) (← links)
- Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation (Q6438467) (← links)
- How Does Information Bottleneck Help Deep Learning? (Q6438469) (← links)
- String Diagrams for $\lambda$-calculi and Functional Computation (Q6438479) (← links)
- Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks (Q6438484) (← links)
- Conditional score-based diffusion models for Bayesian inference in infinite dimensions (Q6438521) (← links)
- Compression with Bayesian Implicit Neural Representations (Q6438526) (← links)
