It has been a pleausure to give the @MunichQuantum colloquium today on applications of #quantumcomputers in #machinelearning and #combinatorialoptimization. Thanks for the kind invitation.

A wonderful group talk by Alexander Kliesch (TUM) on the potential and limitations of #QuantumApproximateOptimization for #CombinatorialOptimization, as well as a lively discussion, in our group seminar.

Yan Chevaleyre talks about building #MachineLearning models with a posteriori interpretation, obtained using #combinatorialoptimization. #orms #SPOC18

All videos from the #machinelearning for #combinatorialoptimization Competition stream at #NeurIPS2021 are now online: .@69alodi

#monolith #aussois #combinatorialoptimization #orms

Learn about relaxed #RatioCut minimization for unnormalized spectral clustering using Rayleight-Ritz theorem & normalized symmetric version known as #NCut. The #CombinatorialOptimization is used in PCA too..#MachineLearning #SpectralClustering.#mathematics

Former #SODAL member @BushajSabah, Assistant Professor @SUNY at Plattsburgh, will be presenting our joint work on solving #combinatorialoptimization problems with #deep #reinforcementlearning at 13:15pm today #IOS2022 #informs #orms

Randomized distributed algorithms for submodular optimization problem.#discreteoptimization #optimization #submodularoptimization #combinatorialoptimization #submodularity .Great talk by Professor Alina Ene, junior @BU_Computing faculty fellow. @BUCompSci

Efficient heuristic search software for tackling the Quadratic Assignment Problem (#QAP) #ArtificalIntelligence #optimization #Algorithm #DOAI #combinatorialoptimization

Adiabatic Quantum Graph Matching with Permutation Matrix Constraints - - #Algorithms #ArXiv #CombinatorialOptimization #ComputerVision #MachineLearning #QuantumComputing

#Graph-Based #Matching of #Points-of-Interest from Collaborative Geo-Datasets.by Tessio Novack , Robin Peters and Alexander Zipf.👉#geographic.#graph-theory.#CombinatorialOptimization

Amit Kumar, IIT New Delhi, uses online algorithms to model combinatorial optimization problems in which the input is revealed over time. #30MYM #combinatorialoptimization #algorithms

Amazing talk by Professor Alina Ene on submodular optimization and its connection to semantic segmentation and information retrieval 👏.#optimization #submodularity .@BU_Computing @BUCompSci #DiscreteOptimization #CombinatorialOptimization

POV: you are the salesman in a Travelling Salesman Problem. #TheOffice #TSP #CombinatorialOptimization

Doctoral candidate and #SODAL member Dogacan Yilmaz will be presenting our joint work at the interface of #deep #learning #AI and solving NP-Hard #combinatorialoptimization problems .@ics2022tampa. at 11 am TB1.@HadiCharkhgard.@ICS_Informs.@INFORMS_USF #informs #orms

#7AYW #CombinatorialOptimization & #MachineLearning.Simone Milanesi introduces the BeMi ensemble, a structured architecture of Binarized Neural Networks based on training a single BNN for each possible pair of classes and applying a Condorcet-inspired majority voting scheme.

Dynamic and stochastic #Inventory #Routing problems (IRPs) still inspire you fear? Check how #CombinatorialOptimization problems with large state and action spaces can be handled with hybrid #MachineLearning and #Optimization pipelines: (1/5)

🔥 Read our Paper.📚 #Route #Planning #Algorithms for Fleets of Connected #Vehicles: State of the Art, Implementation, and Deployment.🔗 👨‍🔬 by Prof. Dr. Mattia D’Emidio et al. 🏫 University of L’Aquila.#Combinatorialoptimization

1/11 Excited to present our latest work "Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics" at #ICLR2025 on Fri 25 Apr at 10 am!.#CombinatorialOptimization #StatisticalPhysics #DiffusionModels