Imagen de Portada

Feed-Forward Neural Networks as a Mixed-Integer Program

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Aftabi, Navid, Moradi, Nima, Mahroo, Fatemeh
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Taming Binarized Neural Networks and Mixed-Integer Programs
por: Aspman, Johannes, et al.
Publicado: (2023)

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning
por: Cai, Junyang, et al.
Publicado: (2024)

Multi-task Representation Learning for Mixed Integer Linear Programming
por: Cai, Junyang, et al.
Publicado: (2024)

Toward TransfORmers: Revolutionizing the Solution of Mixed Integer Programs with Transformers
por: Cooper, Joshua F., et al.
Publicado: (2024)

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem
por: Cai, Junyang, et al.
Publicado: (2024)

Intersectional Fairness via Mixed-Integer Optimization
por: Němeček, Jiří, et al.
Publicado: (2026)

Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
por: Kitaoka, Akira
Publicado: (2025)

Two-echelon Electric Vehicle Routing Problem in Parcel Delivery: A Literature Review
por: Moradi, Nima, et al.
Publicado: (2024)

Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
por: Chen, Ziang, et al.
Publicado: (2024)

Piecewise Polynomial Regression of Tame Functions via Integer Programming
por: Bareilles, Gilles, et al.
Publicado: (2023)

Deep Learning for Two-Stage Robust Integer Optimization
por: Dumouchelle, Justin, et al.
Publicado: (2023)

FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
por: Li, Hongpei, et al.
Publicado: (2025)

Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling
por: Çetinkaya, İbrahim Oğuz, et al.
Publicado: (2025)

On Integer Programming for the Binarized Neural Network Verification Problem
por: Kim, Woojin, et al.
Publicado: (2025)

Mixed-Integer Programming for Change-point Detection
por: Narula, Apoorva, et al.
Publicado: (2026)

Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks
por: Kiyani, Elham, et al.
Publicado: (2025)

Bayesian Optimization for Hyperparameters Tuning in Neural Networks
por: Onorato, Gabriele
Publicado: (2024)

Training Safe Neural Networks with Global SDP Bounds
por: Soletskyi, Roman, et al.
Publicado: (2024)

Applications of 0-1 Neural Networks in Prescription and Prediction
por: Patil, Vrishabh, et al.
Publicado: (2024)

Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
por: Pacheco, Bruno Machado, et al.
Publicado: (2023)

A Distance Metric for Mixed Integer Programming Instances
por: Maudet, Gwen, et al.
Publicado: (2025)

Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks
por: Hao, Yongchang, et al.
Publicado: (2024)

SMiLE: Provably Enforcing Global Relational Properties in Neural Networks
por: Francobaldi, Matteo, et al.
Publicado: (2025)

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
por: Ke, Zhifa, et al.
Publicado: (2024)

A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
por: Hrycej, Tomas, et al.
Publicado: (2025)

A Survey on Algorithmic Developments in Optimal Transport Problem with Applications
por: Moradi, Sina
Publicado: (2025)

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
por: Demelas, Francesco, et al.
Publicado: (2023)

On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
por: de Oliveira, Arthur Castello Branco, et al.
Publicado: (2025)

A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
por: Cayci, Semih
Publicado: (2024)

Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
por: Li, Haoyu, et al.
Publicado: (2026)

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning
por: Li, Hongpei, et al.
Publicado: (2024)

T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method
por: Zhu, Haoyu, et al.
Publicado: (2025)

Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
por: Islam, MD Shafikul, et al.
Publicado: (2023)

Distributionally Robust Safety Verification of Neural Networks via Worst-Case CVaR
por: Kishida, Masako
Publicado: (2025)

Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
por: Liu, Xin, et al.
Publicado: (2022)

Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$P Parametrization
por: Chen, Zixiang, et al.
Publicado: (2025)

MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
por: Huang, Feihu, et al.
Publicado: (2026)

Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
por: Tang, Bo, et al.
Publicado: (2024)

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
por: Scavuzzo, Lara, et al.
Publicado: (2024)

Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching
por: Bayramoğlu, Selin, et al.
Publicado: (2026)