Large-Scale Optimization Methods for Logical Reasoning: A Novel Perspective
Explore optimization-based framework enhancing Description Logic reasoning using mixed-integer programming. Learn novel mapping of DL axioms to inequalities, leveraging advanced techniques for large ontological datasets.
Neural Network Verification as Piecewise Linear Optimization
Neural network verification as piecewise linear optimization: exploring robust methods to prove model reliability against attacks, using LP and MIP formulations for efficient problem-solving in various network types.
Decision-Focused Learning - Integrating Downstream Combinatorics in ML
Explore the integration of machine learning and discrete optimization to enhance problem-solving in real-world scenarios, focusing on decision-focused learning and tailored solution strategies.
Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming
Explore mixed-integer programming for simultaneous feature selection and outlier detection in high-dimensional regressions, with applications to biomedical research and microbiome studies.
Mixed-Integer Programming: 65 Years of History and the Artificial Intelligence Challenge - DS4DM Coffee Talk
Explore the evolution of Mixed-Integer Programming, from its 1958 roots to modern AI integration, and its impact on solving diverse optimization problems.
Optimisation - Linear Integer Programming - Professor Raphael Hauser
Explore linear integer programming, mixed integer models, and branch-and-bound algorithms for solving complex optimization problems in supply chain management and traveling salesman scenarios.
Reinforcement Learning in Recommender Systems - Some Challenges
Explore challenges in applying reinforcement learning to recommender systems, including scale, stochastic action sets, and user learning over long horizons. Gain insights on addressing these issues.
Global Optimization in Wolfram Language: Solving Nonlinear and Nonconvex Problems
Explore advanced global optimization techniques in Wolfram Language for solving complex nonlinear and mixed-integer problems with real-world examples.
Building AI Solutions with Google OR-Tools
Learn to build AI solutions using Google OR-Tools for optimization problems. Explore constraint programming, linear programming, and mixed-integer programming through practical examples like Sudoku and scheduling.
Optimization Methods for Robot Motion Planning in JuMP - JuliaCon 2024
Explore optimization techniques for robot motion planning using JuMP, covering problem formulation, solution methods, and visualization tools for smooth, collision-free paths.
Solving Matching Problems in Practical Applications Using JuMP
Optimize supply chain matching with JuMP: Efficiently model connections in transportation networks, balancing idle times, delays, and resource allocation for improved performance and robustness.
DLSS 5 - Нейрослоп или революция? | Стрим, общение
Новый курс Супер Blender https://cloudlessons.ru/v/550/ Курс по нейросетям https://cloudlessons.ru/v/540/ Бесплатный мини-курс по созданию игровой 3D-модели с нуля - https://cloudlessons.ru/mc/3d-mini-v2/?camp_id=26408 Курс "Профессия 3D-художник в геймдеве". Полный пайплайн, от моделирования в Bl