The following pages link to Adam (Q34000):
Displaying 50 items.
- BlackBox: generalizable reconstruction of extremal values from incomplete spatio-temporal data (Q2028575) (← links)
- Retail sales forecasting with meta-learning (Q2028846) (← links)
- Automatic extraction of cell nuclei using dilated convolutional network (Q2028918) (← links)
- Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training (Q2028930) (← links)
- Optimization problems for machine learning: a survey (Q2029894) (← links)
- Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response (Q2029978) (← links)
- Option valuation under no-arbitrage constraints with neural networks (Q2030534) (← links)
- A neural network-based policy iteration algorithm with global \(H^2\)-superlinear convergence for stochastic games on domains (Q2031059) (← links)
- Discretization and machine learning approximation of BSDEs with a constraint on the gains-process (Q2031302) (← links)
- Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks (Q2033658) (← links)
- Data-driven simulation for general-purpose multibody dynamics using deep neural networks (Q2034108) (← links)
- Continuous-time system identification with neural networks: model structures and fitting criteria (Q2034176) (← links)
- An improvement of stochastic gradient descent approach for mean-variance portfolio optimization problem (Q2034531) (← links)
- Word-class embeddings for multiclass text classification (Q2036741) (← links)
- Dataset2Vec: learning dataset meta-features (Q2036744) (← links)
- Pseudoinverse graph convolutional networks. Fast filters tailored for large eigengaps of dense graphs and hypergraphs (Q2036767) (← links)
- What's in a name? -- Gender classification of names with character based machine learning models (Q2036776) (← links)
- Adversarial balancing-based representation learning for causal effect inference with observational data (Q2036786) (← links)
- A deep learning improved numerical method for the simulation of rogue waves of nonlinear Schrödinger equation (Q2038155) (← links)
- Deep hedging of long-term financial derivatives (Q2038257) (← links)
- Mortality data correction in the absence of monthly fertility records (Q2038274) (← links)
- A selective overview of deep learning (Q2038303) (← links)
- Automatic control variates for option pricing using neural networks (Q2040464) (← links)
- Dynamical robustness and its structural dependence in biological networks (Q2041338) (← links)
- DESN: an unsupervised MR image denoising network with deep image prior (Q2043026) (← links)
- Data-driven algorithm selection and tuning in optimization and signal processing (Q2043447) (← links)
- Fast and safe: accelerated gradient methods with optimality certificates and underestimate sequences (Q2044479) (← links)
- Fastest rates for stochastic mirror descent methods (Q2044496) (← links)
- DeepMRMP: a new predictor for multiple types of RNA modification sites using deep learning (Q2045428) (← links)
- Negotiating team formation using deep reinforcement learning (Q2046007) (← links)
- Surrogate optimization of deep neural networks for groundwater predictions (Q2046338) (← links)
- Machine learning versus semidefinite programming approach to a particular problem of the theory of open quantum systems (Q2046413) (← links)
- Communication modulation signal recognition based on the deep multi-hop neural network (Q2047074) (← links)
- Synthetic-aperture radar image based positioning in GPS-denied environments using deep cosine similarity neural networks (Q2047287) (← links)
- A compressed lattice Boltzmann method based on ConvLSTM and resnet (Q2047572) (← links)
- Moduli-dependent Calabi-Yau and SU(3)-structure metrics from machine learning (Q2047897) (← links)
- A data and knowledge driven approach for SPECT using convolutional neural networks and iterative algorithms (Q2048222) (← links)
- Numerical solution of the parametric diffusion equation by deep neural networks (Q2049099) (← links)
- Material optimization of tri-directional functionally graded plates by using deep neural network and isogeometric multimesh design approach (Q2049828) (← links)
- Solving the Kolmogorov PDE by means of deep learning (Q2051092) (← links)
- CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19 (Q2051225) (← links)
- Conditional variance penalties and domain shift robustness (Q2051245) (← links)
- Regularisation of neural networks by enforcing Lipschitz continuity (Q2051250) (← links)
- Global optimization based on active preference learning with radial basis functions (Q2051251) (← links)
- Importance sampling in reinforcement learning with an estimated behavior policy (Q2051319) (← links)
- A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions (Q2051325) (← links)
- Radon cumulative distribution transform subspace modeling for image classification (Q2051558) (← links)
- Accelerated information gradient flow (Q2053344) (← links)
- A spatiotemporal hierarchical attention mechanism-based model for multi-step station-level crowd flow prediction (Q2054089) (← links)
- Deep human-interaction and association by graph-based learning for multiple object tracking in the wild (Q2054408) (← links)
