The following pages link to author name string (P43):
Displaying 50 items.
- Deep Bayesian Inversion (Q6309726) (← links)
- Neural Joint Source-Channel Coding (Q6309925) (← links)
- Design and Analysis of Distributed State Estimation Algorithms Based on Belief Propagation and Applications in Smart Grids (Q6310004) (← links)
- On Intercept Probability Minimization under Sparse Random Linear Network Coding (Q6310031) (← links)
- hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems (Q6310231) (← links)
- Day-to-Day Dynamic Traffic Assignment with Imperfect Information, Bounded Rationality and Information Sharing (Q6310260) (← links)
- Stochastic Gradient Push for Distributed Deep Learning (Q6310265) (← links)
- Near-Capacity Detection and Decoding: Code Design for Dynamic User Loads in Gaussian Multiple Access Channels (Q6310281) (← links)
- CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling (Q6310293) (← links)
- A Tutorial on Formulating and Using QUBO Models (Q6310360) (← links)
- BioSimulator.jl: Stochastic simulation in Julia (Q6310457) (← links)
- Computational Bounds For Photonic Design (Q6310501) (← links)
- Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification (Q6310528) (← links)
- A torus model for optical flow (Q6310633) (← links)
- AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity (Q6310634) (← links)
- How Energy-Efficient Can a Wireless Communication System Become? (Q6310716) (← links)
- Unified Analysis of HetNets using Poisson Cluster Process under Max-Power Association (Q6310732) (← links)
- Power Allocation in Multi-user Cellular Networks With Deep Q Learning Approach (Q6310865) (← links)
- A biconvex analysis for Lasso l1 reweighting (Q6310867) (← links)
- Minima distribution for global optimization (Q6310927) (← links)
- Low-rank semidefinite programming for the MAX2SAT problem (Q6311206) (← links)
- A Noncoherent Space-Time Code from Quantum Error Correction (Q6311277) (← links)
- Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach (Q6311310) (← links)
- On Lazy Training in Differentiable Programming (Q6311365) (← links)
- Efficient and scalable data structures and algorithms for goal-oriented adaptivity of space-time FEM codes (Q6311436) (← links)
- Persistence Bag-of-Words for Topological Data Analysis (Q6311514) (← links)
- Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology (Q6311578) (← links)
- Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach (Q6311604) (← links)
- SIAN: software for structural identifiability analysis of ODE models (Q6311620) (← links)
- Structure Learning of Sparse GGMs over Multiple Access Networks (Q6311649) (← links)
- Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning (Q6311844) (← links)
- Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces (Q6312293) (← links)
- MAXENT3D_PID: An Estimator for the Maximum-entropy Trivariate Partial Information Decomposition (Q6312301) (← links)
- Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution (Q6312340) (← links)
- Non-Parametric Inference Adaptive to Intrinsic Dimension (Q6312362) (← links)
- Quadratization in discrete optimization and quantum mechanics (Q6312446) (← links)
- Practical Lossless Compression with Latent Variables using Bits Back Coding (Q6312492) (← links)
- Solving inverse problems via auto-encoders (Q6312510) (← links)
- DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization (Q6312524) (← links)
- Introducing Fairness and Diversification in WTA and ATP Tennis Tournaments Generation (Q6312557) (← links)
- Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks (Q6312645) (← links)
- Genetic Algorithm-based Polar Code Construction for the AWGN Channel (Q6312707) (← links)
- Power Allocation in Multi-User Cellular Networks: Deep Reinforcement Learning Approaches (Q6312814) (← links)
- Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees (Q6312881) (← links)
- Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization (Q6313078) (← links)
- DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization (Q6313081) (← links)
- Coverage and Rate Analysis of Downlink Cellular Vehicle-to-Everything (C-V2X) Communication (Q6313095) (← links)
- Information-Theoretic Understanding of Population Risk Improvement with Model Compression (Q6313131) (← links)
- ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding (Q6313165) (← links)
- Error Feedback Fixes SignSGD and other Gradient Compression Schemes (Q6313183) (← links)
