yusuke1997/dblp-id-title huggingface dataset:
Minkowski Sum of Ellipsoids and Means of Covariance Matrices
Pontryagin Calculus in Riemannian Geometry
The Abstract Setting for Shape Deformation Analysis and LDDMM Methods
Optimization of a Shape Metric Based on Information Theory Applied to Segmentation Fusion and Evaluation in Multimodal MRI for DIPG Tumor Analysis
On Prime-Valent Symmetric Bicirculants and Cayley Snarks
Dirac Structures in Open Thermodynamics
Doubly Autoparallel Structure on Positive Definite Matrices and Its Applications
Geometric Quantum States and Lagrangian Polar Duality: Quantum Mechanics Without Wavefunctions
Some Smooth Divergences for ℓ 1 -Approximations
A Compactification of the Orthogonal Foliation via Toric Geometry
Second-Order Networks in PyTorch
Infinite Dimensional Lagrange-Dirac Mechanics with Boundary Conditions
A Heterogeneous Model of Boundary and Figure Completion in V 1
On f-divergences Between Cauchy Distributions
Stochastic Development Regression Using Method of Moments
Categorical Information Geometry
Weighted Closed Form Expressions Based on Escort Distributions for Rényi Entropy Rates of Markov Chains
Homogeneous Bi-Hamiltonian Structures and Integrable Contact Systems
A Methodology for Deblurring and Recovering Conformational States of Biomolecular Complexes from Single Particle Electron Microscopy
Inexact Elastic Shape Matching in the Square Root Normal Field Framework
Signature Estimation and Signal Recovery Using Median of Means
An Approach to Dynamical Distance Geometry
Second-Order Optimization over the Multivariate Gaussian Distribution
Analysis and Computation of Geodesic Distances on Reductive Homogeneous Spaces
Automatic Differentiation of Non-holonomic Fast Marching for Computing Most Threatening Trajectories Under Sensors Surveillance
Anisotropic Edge-Based Balloon Eikonal Active Contours
Spherical Parameterization for Genus Zero Surfaces Using Laplace-Beltrami Eigenfunctions
Using a Riemannian Elastic Metric for Statistical Analysis of Tumor Cell Shape Heterogeneity
Weakly Correlated Sparse Components with Nearly Orthonormal Loadings
Inequalities for Statistical Submanifolds in Hessian Manifolds of Constant Hessian Curvature
Lifting of Some Dynamics on the Set of Bilagrangian Structures
Exponential-Wrapped Distributions on $\text {SL}(2, \mathbb {C})$ and the Möbius Group
Multivariate Divergences with Application in Multisample Density Ratio Models
Maximum Likelihood Estimation for the λ-Exponential Family
Efficient Quasi-Geodesics on the Stiefel Manifold
Learning Hamiltonian Systems with Mono-Implicit Runge-Kutta Methods
Conformal Submersion with Horizontal Distribution and Geodesics
Intrinsic Incremental Mechanics
An Information Geometry Problem in Mathematical Finance
Minimization with Respect to Divergences and Applications
The Stochastic Flow Theorem for an Operator of Order Four
On the Error Exponent of a Random Tensor with Orthonormal Factor Matrices
Geometric Science of Information - 4th International Conference, GSI 2019, Toulouse, France, August 27-29, 2019, Proceedings
Path Connectedness on a Space of Probability Density Functions
Entropic Dynamics Yields Reciprocal Relations
Interleaved Filtrations: Theory and Applications in Point Cloud Data Analysis
Invariant Geometric Structures on Statistical Models
Horizontal Dimensionality Reduction and Iterated Frame Bundle Development
Novel Pathways in k-Contact Geometry
Metamorphic Image Registration Using a Semi-lagrangian Scheme
The Exponential of Nilpotent Supergroups in the Theory of Harish-Chandra Representations
Variational Integrators for Stochastic Hamiltonian Systems on Lie Groups
Log-Euclidean Frameworks for Smooth Brain Connectivity Trajectories
On the Tangent Bundles of Statistical Manifolds
On the Fisher-Rao Information Metric in the Space of Normal Distributions
Generating Random Hyperfractal Cities
A Unified Formulation for the Bures-Wasserstein and Log-Euclidean/Log-Hilbert-Schmidt Distances between Positive Definite Operators
The Contact Eden Bracket and the Evolution of Observables
Koszul Information Geometry, Liouville-Mineur Integrable Systems and Moser Isospectral Deformation Method for Hermitian Positive-Definite Matrices
The Bregman Chord Divergence
A Categorical Approach to Statistical Mechanics
A Two-Color Interacting Random Balls Model for Co-localization Analysis of Proteins
Harmonic Maps Relative to α-Connections on Hessian Domains
A General Framework for Comparing Heterogeneous Binary Relations
Histograms of Images Valued in the Manifold of Colours Endowed with Perceptual Metrics
Gibbs States on Symplectic Manifolds with Symmetries
The Herglotz Principle and Vakonomic Dynamics
F-t Joint Distribution on a Real Siegel Domain and Simultaneous Hypothesis Test
Information Geometry Under Monotone Embedding. Part II: Geometry
Non-relativistic Limits of General Relativity
Structure-preserving Discretization of the Cahn-Hilliard Equations Recast as a Port-Hamiltonian System
Hyperquaternions: An Efficient Mathematical Formalism for Geometry
The Fisher Information of Curved Exponential Families and the Elegant Kagan Inequality
Geometry and Fixed-Rate Quantization in Riemannian Metric Spaces Induced by Separable Bregman Divergences
Constructing the Hamiltonian from the Behaviour of a Dynamical System by Proper Symplectic Decomposition
Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part I
A Riemannian Geometry in the q-Exponential Banach Manifold Induced by q-Divergences
Poisson Geometry of the Statistical Frobenius Manifold
Riemannian Distance and Diameter of the Space of Probability Measures and the Parametrix
Submanifolds of Fixed Degree in Graded Manifolds for Perceptual Completion
Some New Flexibilizations of Bregman Divergences and Their Asymptotics
A New Implementation of k-MLE for Mixture Modeling of Wishart Distributions
Gabor Frames and Contact Structures: Signal Encoding and Decoding in the Primary Visual Cortex
Curvature of the Manifold of Fixed-Rank Positive-Semidefinite Matrices Endowed with the Bures-Wasserstein Metric
Vessel Tracking via Sub-Riemannian Geodesics on the Projective Line Bundle
Coherent States on the Statistical Manifold
Nonholonomic Brackets: Eden Revisited
Nonparametric Information Geometry
Memory Capacity of Nonlinear Recurrent Networks: Is It Informative?
Continuous Wavelet Transforms for Vector-Valued Functions
Generalized Wintgen Inquality for Legendrian Submanifolds in Sasakian Statistical Manifolds
Parametric Fokker-Planck Equation
A Variational Formulation for Fluid Dynamics with Irreversible Processes
Reparameterization Invariant Metric on the Space of Curves
Statistical Transformation Models Associated to Souriau's Thermodynamics
Self-similar Geometry for Ad-Hoc Wireless Networks: Hyperfractals
Couplings of Brownian Motions on $SU(2,\mathbb {C})$
A Non-formal Formula for the Rankin-Cohen Deformation Quantization
Dilation Operator Approach and Square Root Velocity Transform for Time/Doppler Spectra Characterization on SU(n)
Multi-scale Activity Estimation with Spatial Abstractions
Log-Determinant Divergences Between Positive Definite Hilbert-Schmidt Operators
Virtual Nonlinear Nonholonomic Constraints from a Symplectic Point of View
Categorical Magnitude and Entropy
On the Thermodynamic Interpretation of Deep Learning Systems
Standard Divergence in Manifold of Dual Affine Connections
Image Recognition via Vaisman-Neifeld's Geometry
Flat F Manifolds on Statistical Manifolds of Hyperboloid Type
Smeariness Begets Finite Sample Smeariness
Interconnection and Variational Principles for Fluid-Bubble Dynamics
Harmonicity of Conformally-Projectively Equivalent Statistical Manifolds and Conformal Statistical Submersions
f-Divergence Approximation for Gaussian Mixtures
Constructing Universal, Non-asymptotic Confidence Sets for Intrinsic Means on the Circle
(Para-)Holomorphic Connections for Information Geometry
Chan-Vese Attention U-Net: An Attention Mechanism for Robust Segmentation
Using the Bhattacharyya Mean for the Filtering and Clustering of Positive-Definite Matrices
Bridge Simulation and Metric Estimation on Lie Groups
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms
Multiply CR-Warped Product Statistical Submanifolds of a Holomorphic Statistical Space Form
Determinantal Expressions of Certain Integrals on Symmetric Spaces
Monotonicity of the Scalar Curvature of the Quantum Exponential Family for Transverse-Field Ising Chains
Robust Empirical Likelihood
Asymptotically Efficient Estimators for Algebraic Statistical Manifolds
On the Geometry and the Deformation of Shapes Represented by Piecewise Continuous Bézier Curves with Application to Shape Optimization
Exploration of Conformations for an Intrinsically Disordered Protein
Density Estimation for Compound Cox Processes on Hyperspheres
Complete Integrability of Gradient Systems on a Manifold Admitting a Potential in Odd Dimension
On a Generalisation of Metriplectic Systems
Co-occurrence Matrix of Covariance Matrices: A Novel Coding Model for the Classification of Texture Images
λ-Deformed Evidence Lower Bound (λ-ELBO) Using Rényi and Tsallis Divergence
Quantum Statistical Manifolds: The Finite-Dimensional Case
Matrix Realization of a Homogeneous Hessian Domain
The Nonlinear Bernstein-Schrödinger Equation in Economics
Bounding the Convergence Time of Local Probabilistic Evolution
Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces
Hamilton-Jacobi Theory and Information Geometry
Weighted Sampling, Maximum Likelihood and Minimum Divergence Estimators
Chernoff, Bhattacharyya, Rényi and Sharma-Mittal Divergence Analysis for Gaussian Stationary ARMA Processes
Multisymplectic Variational Integrators for Fluid Models with Constraints
Target Detection of Non-stationary Radar Signal and Riemannian Geometry
3D Insights to Some Divergences for Robust Statistics and Machine Learning
Some Remarks on the Notion of Transition
On the Approximation of the Riemannian Barycenter
Sample-Limited L_p Barycentric Subspace Analysis on Constant Curvature Spaces
Casimir-Dissipation Stabilized Stochastic Rotating Shallow Water Equations on the Sphere
Riemannian Integrated Gradients: A Geometric View of Explainable AI
The Momentum Mapping of the Affine Real Symplectic Group
A Discrete Version for Vortex Loops in 2D Fluids
Universal, Non-asymptotic Confidence Sets for Circular Means
The Information Geometry of Mirror Descent
Normalization and φ-function: Definition and Consequences
Bregman Divergences from Comparative Convexity
Finite Sample Smeariness on Spheres
Online Change Detection in Exponential Families with Unknown Parameters
A Necessary Condition for Semiparametric Efficiency of Experimental Designs
${{\,\textrm{SL}\,}}(2,\mathbb {Z})$-Equivariant Machine Learning with Modular Forms Theory and Applications
Finite Element Methods for Geometric Evolution Equations
Roto-Translation Invariant Metrics on Position-Orientation Space
Hypothesis Testing, Information Divergence and Computational Geometry
A Foliation by Escort Distributions of Exponential Families and Extended Divergence
Hamiltonian Monte Carlo on Lie Groups and Constrained Mechanics on Homogeneous Manifolds
Entropy Under Disintegrations
Hopf-Cole Transformation and Schrödinger Problems
MacKay-Type Visual Illusions via Neural Fields
Variational Principle for Stochastic Nonholonomic Systems Part I: Continuous-Time Formulation
Some Geometric Consequences of the Schrödinger Problem
Random Clouds on Matrix Lie Groups
Method of Orbits of Co-Associated Representation in Thermodynamics of the Lie Non-compact Groups
A Historical Perspective on Schützenberger-Pinsker Inequalities
Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms
A Geometric Deep Learning Approach to Forecasting the Time Series of Covariance Matrices
Information Geometry Under Monotone Embedding. Part I: Divergence Functions
A Metric for Quantum States Issued from von Neumann's Entropy
Structure-Preserving Discretization of a Coupled Heat-Wave System, as Interconnected Port-Hamiltonian Systems
K-Splines on SPD Manifolds
Lie Group Machine Learning and Gibbs Density on Poincaré Unit Disk from Souriau Lie Groups Thermodynamics and SU(1, 1) Coadjoint Orbits
Applying Backward Nested Subspace Inference to Tori and Polyspheres
The Phase Space Description of the Geodesics on the Statistical Model on a Finite Set - - Trajectory-Confinement and Integrability -
Role of Riemannian Geometry in Double-Bracket Quantum Imaginary-Time Evolution
Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices
Geometric Science of Information - Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings
From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification
On the f-Divergences Between Hyperboloid and Poincaré Distributions
Geodesics and Curvature of the Quotient-Affine Metrics on Full-Rank Correlation Matrices
Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories
Orientation Scores Should Be a Piece of Cake
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging
Affine-Invariant Orders on the Set of Positive-Definite Matrices
The Statistical Minkowski Distances: Closed-Form Formula for Gaussian Mixture Models
Online Learning of Riemannian Hidden Markov Models in Homogeneous Hadamard Spaces
Exploring Uniform Finite Sample Stickiness
Affine-Invariant Riemannian Distance Between Infinite-Dimensional Covariance Operators
GNN-Enhanced TCN Algorithms for ECG Signal Quality Recognition
Extremal Controls for the Duits Car
Topological Model of Neural Information Networks
Stochastic Maupertuis's Principles and Jacobi's Integration Theorem
Geometric Quantization of Complex Monge-Ampère Operator for Certain Diffusion Flows
The Tangent Earth Mover's Distance
Conformal Model of Hypercolumns in V1 Cortex and the Möbius Group. Application to the Visual Stability Problem
Generative OrnsteinUhlenbeck Markets via Geometric Deep Learning
Reduction of Exact Symplectic Manifolds and Energy Hypersurfaces
A Kernel View on Manifold Sub-sampling Based on Karcher Variance Optimization
Affine-Invariant Midrange Statistics
A Historical Perspective on the Schützenberger-van Trees Inequality: A Posterior Uncertainty Principle
Amari Functors and Dynamics in Gauge Structures
Bootstrapping Descriptors for Non-Euclidean Data
Variational Gaussian Approximation of the Kushner Optimal Filter
Applications of Standard and Hamiltonian Stochastic Lie Systems
A Gradient Structure for Isotropic Non-linear Morphoelastic Bodies
Fast and Asymptotic Steering to a Steady State for Networks Flows
Extensive Entropy Functionals and Non-ergodic Random Walks
Koszul Homological Series and Fedosov Foliations on Statistical Manifolds
A Topological View on Forced Oscillations and Control of an Inverted Pendulum
Toric Fiber Products in Geometric Modeling
Heights of Toric Varieties, Entropy and Integration over Polytopes
Shape Spaces of Nonlinear Flags
A General Metric for Riemannian Manifold Hamiltonian Monte Carlo
A Symplectic Minimum Variational Principle for Dissipative Dynamical Systems
Finite Polylogarithms, Their Multiple Analogues and the Shannon Entropy
Interpolation and Regression of Rotation Matrices
Towards Parametric Bi-Invariant Density Estimation on SE(2)
Counting the Number of Solutions of KDMDGP Instances
Alpha-parallel Priors on a One-Sided Truncated Exponential Family
A Dimensionality Reduction Technique Based on the Gromov-Wasserstein Distance
The Δ2-Condition and ϕ-Families of Probability Distributions
Statistical Manifolds Admitting Torsion, Pre-contrast Functions and Estimating Functions
Studying New Classes of Graph Metrics
Stochastic Filtering by Projection: The Example of the Quadratic Sensor
Variational Principle for Stochastic Nonholonomic Systems Part II: Stochastic Nonholonomic Integrator
Wald Space for Phylogenetic Trees
Moment Polytopes of Toric Exponential Families
Canonical Hamiltonian Systems in Symplectic Statistical Manifolds
Fisher-Rao Riemannian Geometry of Equivalent Gaussian Measures on Hilbert Space
Hypergraphs on High Dimensional Time Series Sets Using Signature Transform
Evolution Equations with Anisotropic Distributions and Diffusion PCA
Bayesian Atlas Estimation from High Angular Resolution Diffusion Imaging (HARDI)
Poincaré Equations for Cosserat Shells: Application to Cephalopod Locomotion
Learning Lagrangian Fluid Mechanics with E(3)-Equivariant Graph Neural Networks
Thermodynamic Functionality of Non-detailed Balance Finite-Tape Information Ratchet
Parametrisation Independence of the Natural Gradient in Overparametrised Systems
The Cramér-Rao Inequality on Singular Statistical Models
To the Homogeneous Symplectic Manifold toward the Geometry of information
Hamilton-Dirac Formulation for Thermodynamic Systems with Reaction and Diffusion
Thermodynamic Equilibrium and Relativity: Killing Vectors and Lie Derivatives
Geometric Gaussian Approximations of Probability Distributions
Confidence Bands for Multiparameter Persistence Landscapes
Equivariant Filter: Navigation on the Rotating Round-Earth Model Using a Left-Error State
Riemannian Trust Regions with Finite-Difference Hessian Approximations are Globally Convergent
Variational Problem in Euclidean Space with Density
Extrinsic vs Intrinsic Means on the Circle
A Primer on Alpha-Information Theory with Application to Leakage in Secrecy Systems
Polysymplectic Souriau Lie Group Thermodynamics and the Geometric Structure of Its Coadjoint Orbits
PDE Constrained Shape Optimization as Optimization on Shape Manifolds
Geometry of Outdoor Virus Avoidance in Cities
Lagrangian Trajectories and Closure Models in Mixed Quantum-Classical Dynamics
Fast Method to Fit a C 1 Piecewise-Bézier Function to Manifold-Valued Data Points: How Suboptimal is the Curve Obtained on the Sphere S 2 ?
Infinite-Dimensional Siegel Disc as Symplectic and Kähler Quotient
Revisiting Lattice Tiling Decomposition and Dithered Quantisation
Geometric Science of Information - Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings
Symplectic Bipotentials for the Dynamics of Dissipative Systems with Non Associated Constitutive Laws
Minimum of Divergences with Relaxation: a Hilbertian Alternative to Duality Approach
Existence of Global Minimizer for Elastic Variational Obstacle Avoidance Problems on Riemannian Manifolds
Information Theory and the Embedding Problem for Riemannian Manifolds
Barycenter in Wasserstein Spaces: Existence and Consistency
Perturbation of Fiedler Vector: Interest for Graph Measures and Shape Analysis
Probability Density Estimation on the Hyperbolic Space Applied to Radar Processing
KD 2 M: A Unifying Framework for Feature Knowledge Distillation
Currents and K-functions for Fiber Point Processes
A Probabilistic View on Riemannian Machine Learning Models for SPD Matrices
Information Geometry and Its Applications: Survey
Lagrangian Averaging of Singular Stochastic Actions for Fluid Dynamics
Transport Information Hessian Distances
A Variational Perspective on the Thermodynamics of Non-isothermal Reacting Open Systems
Online k-MLE for Mixture Modeling with Exponential Families
Kernel Density Estimation on Symmetric Spaces
Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics
A Comparison of Two Dual Methods for Discrete Optimal Transport
Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations
Geometric Deep Learning: A Temperature Based Analysis of Graph Neural Networks
Hydrodynamics of the Probability Current in Schrödinger Theory
Process Comparison Combining Signal Power Ratio and Jeffrey's Divergence Between Unit-Power Signals
Geometry of Saccades and Saccadic Cycles
The Stick Model for Distance Geometry
Nonholonomic Systems with Inequality Constraints
A q-Analogue of the Family of Poincaré Distributions on the Upper Half Plane
Deformed Exponential Bundle: The Linear Growth Case
Hessian Curvature and Optimal Transport
Computational Information Geometry in Statistics: Foundations
Polysymplectic Souriau Lie Group Thermodynamics and Entropy Geometric Structure as Casimir Invariant Function
Information Geometry of Predictor Functions in a Regression Model
Optimal Transport, Independance Versus Indetermination Duality, Impact on a New Copula Design
The Total Variation-Wasserstein Problem: A New Derivation of the Euler-Lagrange Equations
Torsional Newton-Cartan Geometry
Geometric Mean Algorithms Based on Harmonic and Arithmetic Iterations
Information Geometry and Hamiltonian Systems on Lie Groups
Geometric Properties of Textile Plot
A Note on the Intrinsic Cramer-Rao Bound
Parallel Transport on Kendall Shape Spaces
Space-Time Thermo-Mechanics for a Material Continuum
A Linear Program for Points of Interest Relocation in Adaptive Maps
Torsion of α-Connections on the Density Manifold
A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices
On Information Links
Forward and Inverse Approximation Theory for Linear Temporal Convolutional Networks
Ridge Regression for Manifold-Valued Time-Series with Application to Hurricane Forecasting
Symplectic Approach to Global Stability
Can Čencov Meet Petz
The Frenet-Serret Framework for Aligning Geometric Curves
Optimal Transport with Some Directed Distances
Madelung Transform and Variational Asymptotics in Born-Oppenheimer Molecular Dynamics
Complete Lattice Structure of Poincaré Upper-Half Plane and Mathematical Morphology for Hyperbolic-Valued Images
Statistical Gaussian Model of Image Regions in Stochastic Watershed Segmentation
Nonlinear Operators on Graphs via Stacks
Towards a Functorial Description of Quantum Relative Entropy
Riemannian Geometry of Gibbs Cones Associated to Nilpotent Orbits of Simple Lie Groups
Wasserstein Proximal of GANs
Remarks on Laplacian of Graphical Models in Various Graphs
Hamiltonian Variational Formulation for Non-simple Thermodynamic Systems
Topological Methods for Unsupervised Learning
Learning General Gaussian Kernel Hyperparameters for SVR
A Probabilistic Solution to the AX=XB Problem: Sensor Calibration without Correspondence
Shape Part Transfer via Semantic Latent Space Factorization
Multi-marginal Schrödinger Bridges
Universal Collection of Euclidean Invariants Between Pairs of Position-Orientations
Symplectic and Kähler Structures on Statistical Manifolds Induced from Divergence Functions
A Sub-Riemannian Model of the Functional Architecture of M1 for Arm Movement Direction
Generalized Galilean Geometries
Geometric Properties of Beta Distributions
Belief Propagation as Diffusion
Group Action Induced Distances on Spaces of High-Dimensional Linear Stochastic Processes
Foliations on Affinely Flat Manifolds: Information Geometry
K-Centroids-Based Supervised Classification of Texture Images Using the SIRV Modeling
Deformed Exponential and the Behavior of the Normalizing Function
Signatures in Shape Analysis: An Efficient Approach to Motion Identification
Geometry and Shannon Capacity
${{\, \mathrm{SU}\, }}(1, 1)$ Equivariant Neural Networks and Application to Robust Toeplitz Hermitian Positive Definite Matrix Classification
Geodesic Non-completeness of the Truncated Normal Family
cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope
Flapping Wing Coupled Dynamics in Lie Group Setting
Curvatures of Statistical Structures
About the Definition of Port Variables for Contact Hamiltonian Systems
Variational Approach to the Stochastic Thermodynamics of Langevin Systems
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models
Multisymplectic Unscented Kalman Filter for Geometrically Exact Beams
A Relation Between K-Symplectic and K-Contact Hamiltonian System
Accurate and Efficient 2-bit Quantized Neural Networks
Building Verified Neural Networks for Computer Systems with Ouroboros
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation
Learning Fitness Functions for Machine Programming
LAVA: Lifetime-Aware VM Allocation with Learned Distributions and Adaptation to Mispredictions