Utz-Uwe Haus (HPE EMEA Research Lab)
Data-awareness with the Maestro middleware in Climate Digital Twin workflows
Stephanie Riedmueller (Zuse Institute Berlin)
Warm Starts and Cold Qubits: Speeding Up Scalarization in Multi-Objective (Mixed) Integer Optimization
Philippe CODOGNET (JFLI - CNRS / Sorbonne University / University of Tokyo)
Comparing QUBO models for quantum annealing: integer encodings for permutation problems
Junko Hosoda (Quanmatic Inc.)
Accelerating QUBO Optimization via Parallel Execution of Multiple Solvers
Thorsten Koch (ZIB / TU Berlin)
The Intractable Decathlon: Benchmarking quantum and other novel hardware approaches on challenging discrete optimization problems
Shunsuke Kamiya (NTT DATA Mathematical Systems Inc.)
Weighting Jump Search: an enhanced LP-free MIP heuristic
João Pedro PEDROSO (University of Porto)
New ideas on Monte Carlo tree search for optimization
Naoki Ito (Fast Retailing)
Applications of Optimization and Machine Learning in Apparel Supply Chain Management
Ralf Borndörfer (ZIB)
Logic-Constrained Shortest Paths and Flight Planning
Liu Kailiang (National University of Singapore)
Multi-Agent Reinforcement Learning for Large-scale Dynamic Operating Rooms Scheduling under Uncertainty
Keisuke Okumura (National Institute of Advanced Industrial Science and Technology (AIST) / University of Cambridge)
From Scalable Multi-Agent Pathfinding to Capable Multi-Robot Coordination
Ying Chen (National University of Singapore)
Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach
Kazuo Murota (The Institute of Statistical Mathematics)
A Quick Overview of Discrete Convex Analysis
Food and beverages will be served in a university hall. A sushi stall will also be available.
Sebastien Gros (NTNU)
Combining Model-Based Decisions with AI - some perspectives from recent research
Katsuki Fujisawa (Institute of Science Tokyo)
Optimization and High-Performance Computing: Current Status and Future Directions - Towards Larger-Scale, Higher Complexity, Faster Speed, and Greater Accuracy -
Akifumi Wachi (LY Corporation)
Safe Reinforcement Learning: Theory and Applications
Xun Shen (Tokyo University of Agriculture and Technology)
Offline Guarded Safe Reinforcement Learning: Theory and Application to Medical Treatment Optimization
Akihiro Yoshida (Institute of Science Tokyo)
QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision–Language Models
Jaap Pedersen (Zuse Institute Berlin)
Flying SCIPjack - Extended Steiner Tree Solver for the Integrated Wind Farm Design Problem
Hanming Hu (National University of Singapore)
Fuelture - AI Forecasting for Oil Price
Thai Le (Zuse Institute Berlin)
Toward Reliable Simulation of Two-Phase Interface Instabilities in Industrial Coating Processes
Ha Quang Minh (RIKEN)
Infinite-dimensional Statistical Divergences between Stochastic Processes
Jayne Thompson (Institute of High Performance Computing, A*Star)
Using Quantum Agents to reduce the cost of interactive tasks
Keiichiro Yamamura (Institute of Integrated Research, Institute of Science Tokyo)
Quantum-ready QUBO-based Suppression for Object Detection with Appearance and Confidence Features
Patrick Rebentrost (National University of Singapore)
Accelerating computational finance with quantum algorithms
Masahiko Sugimura (Institute of science Tokyo)
Automated Tabu Tenure Tuning by Trajectory Metrics for Quadratic Unconstrained Binary Optimization
Paolo Recchia (National university of Singapore (NUS)- Asian institute of digital finance (Aidf))
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Francesca Di Bartolomeo (SINTEF AS)
Harnessing Carbon: Challenges and Opportunities for Data-Driven Process Monitoring in CO₂-Based Industrial Biotechnology
Hu, Xiao (Emory University)
Mechanistical, Bespoke Machine Learning, and Foundation Models of Physiological Data
Jacir Luiz Bordim (University of Brasilia)
Advances in Cybersecurity and Smart City Innovations for Threat Detection and Environmental Protection
Hongrui Zhang (NUS)
Variational Quantum Algorithm for Multivariate Heavy-Tailed Distribution Generation
Takeyuki Tamura (Kyoto University)
Metabolic Network Design Algorithms for Valuable Compound Production
Philip Wellnitz (NII)
New Approaches for Minimization of Tardy Processing Time on a Single Machine
Amritanshu Verma (Center for Data processing, Johannes Gutenberg University, Mainz, Germany)
Performance Analysis of deep learning models
Bastian Bergmann (ETH Zürich)
Rethinking Reasoning in LLMs (Bastian Bergmann)
Josef Teichmann (ETH Zürich)
Delay is all you need
Klaus Spreckelsen (OGE, Germany)
Mathematical optimization and AI in tools for gas transport
Tal Karchman (Radboud University)
Lyapunov exponents for diversity in differentiable games
The excursion is a tour of the National Diet Building. The tour itself lasts one hour.
All participants will depart from the venue at 14:40, so please be on time.
A dress code of smart casual is recommended, because there may be a photo session with diet members.
The banquet will be held at Brasserie Paul Bocuse Le Musée, the restaurant on the third floor of The National Art Center, Tokyo.
Participants should come directly to the venue. The venue opens at 18:00 and the banquet starts at 18:30.
Access from the National Diet Building: Take the Tokyo Metro Chiyoda Line from Kokkai-gijidomae Station, get off at Nogizaka Station, and exit from the 6th exit; the National Art Center, Tokyo will be right in front of you.
Masaaki Nagahara (Hiroshima University)
Sparse Optimization for Maximum Hands-off Control
Shotaro Yagishita (The Institute of Statistical Mathematics, Joint Support-Center for Data Science Research)
Convergence analysis of proximal gradient-type method without global descent lemma
Mengmou LI (Hiroshima University)
First-Order Projected Accelerated Algorithms
Lei Zhou (National University of Singapore)
Innovation Value Discrepancy and Its Role in Shaping Firms' Short-Term Gains and Sustainable Growth
(One slot available.)
Atsushi Yoshimoto (Institute of Statistical Mathematics)
Spatially Constrained Optimal Harvest Scheduling with Green Pathway for Time-Constrained Production
Janina Zittel (Zuse Institute Berlin)
Navigating Uncertainty in Energy System Optimization: Scenario Analysis, Robust Methods, and Warm-Start Techniques for Near-Optimal Alternatives
Akane Seto (Hitachi, Ltd.)
Optimizing Long-Haul and Local Delivery Logistics with Advanced Resource Cooperation
Hiroshige Dan (Waseda University)
Intractability of Large-Scale Optimization with Multi-Start Methods
Tam Le (The Institute of Statistical Mathematics (ISM))
Beyond Sliced-Wasserstein: Optimal Transport with Tree Systems and Its Applications
Lu Jianlong (National University of Singapore)
Neural Quantum Digital Twins for Optimizing Quantum Annealing
Tasuku Soma (Institute of Statistical Mathematics)
Accelerating operator Sinkhorn iteration with overrelaxation
Bruno F. Lourenço (Institute of Statistical Mathematics)
Convergence rate analysis and Karamata theory
Ryo Kuroiwa (National Institute of Informatics)
Column Generation Using Domain-Independent Dynamic Programming
Satoshi Ito (The Institute of Statistical Mathematics)
Nonlinear integer programming formulations for calculating clinch/elimination numbers in league sports, part 2: wildcard and split-season
Takeaki Uno (National Institute of Informatics)
Enumeration with Data Polishingfor Micro-Clustering
Toshio Endo (Institute of Science Tokyo)
TSUBAME4.0: More of Everyone's Supercomputer toward Future Computing
Zen is a Buddhism practice of clear awareness through seated meditation (Zazen) and everyday mindfulness—simple, direct, and clarifying. It has inspired many innovators, including Steve Jobs. Komazawa University, rooted in Zen teachings, invites workshop participants to a hands-on Zazen session led by leading Zen researchers and practitioners. Guidance is in English and beginner friendly. This experience is also supported by the Join Zen Program at Komazawa University.
Junya Arai (NTT, Inc.)
Efficient Breadth-First Spanning Tree Construction Exploiting Root-Invariant Structures
Susumu Hashimoto (National Institute of Informatics)
Clustering-Based Approach for Generating Diverse Solutions in Combinatorial Optimization Problems
Mirai Tanaka (The Institute of Statistical Mathematics)
A Frank–Wolfe method for convex optimization problems with objective value data
Kaito Fujii (National Institute of Informatics)
Bayes correlated equilibria and no-regret dynamics
LEE Ching-pei (ISM)
A four-operator splitting algorithm for nonconvex and nonsmooth optimization
Yuji Shinano (Zuse Institute Berlin)
Current progress in highly parallel ensemble solvers instantiated by UG
Koji Nakano (Hiroshima University)
QUBO++: A C++-based library for modeling and solving QUBO/HUBO problems, with a heat-treatment scheduling case study