Cover Image

Transport, Don't Generate: Deterministic Geometric Flows for Combinatorial Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Friedmann, Benjy, Dym, Nadav
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence 68T07, 90C27 I.2.6; G.2.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits
by: Murray, Michael, et al.
Published: (2025)

SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
by: Lee, Wooin, et al.
Published: (2026)

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
by: Chanda, Prateek, et al.
Published: (2026)

Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)

optimize_anything: A Universal API for Optimizing any Text Parameter
by: Agrawal, Lakshya A, et al.
Published: (2026)

Can Computational Reducibility Lead to Transferable Models for Graph Combinatorial Optimization?
by: Cantürk, Semih, et al.
Published: (2026)

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
by: Tang, Bo, et al.
Published: (2022)

SCOPE: Selective Conformal Optimized Pairwise LLM Judging
by: Badshah, Sher, et al.
Published: (2026)

Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization
by: Xu, Ruoran, et al.
Published: (2026)

Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs
by: Wenkel, Frederik, et al.
Published: (2024)

The Geometry of Thought: Disclosing the Transformer as a Tropical Polynomial Circuit
by: Alpay, Faruk, et al.
Published: (2026)

Maximizing Rollout Informativeness under a Fixed Budget: A Submodular View of Tree Search for Tool-Use Agentic Reinforcement Learning
by: Hu, Yuelin, et al.
Published: (2026)

J6: Jacobian-Driven Role Attribution for Multi-Objective Prompt Optimization in LLMs
by: Wu, Yao
Published: (2025)

DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
by: Li, Yangyang
Published: (2025)

NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)

Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Streams
by: Henry, James
Published: (2026)

Robustness, Cost, and Attack-Surface Concentration in Phishing Detection
by: Allagan, Julian, et al.
Published: (2026)

Scaling Higher-Order Graph Learning with Maximal Clique Complexes
by: Vialle, Antoine, et al.
Published: (2026)

VORT: Adaptive Power-Law Memory for NLP Transformers
by: Mlaiki, Nabil
Published: (2026)

Thinking Machines: Mathematical Reasoning in the Age of LLMs
by: Asperti, Andrea, et al.
Published: (2025)

CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)

Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)

Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee
by: Khanal, Kshitiz
Published: (2025)

Understanding and Tackling Over-Dilution in Graph Neural Networks
by: Lee, Junhyun, et al.
Published: (2025)

Parameter-Efficient Neuroevolution for Diverse LLM Generation: Quality-Diversity Optimization via Prompt Embedding Evolution
by: Guo, Dongxin, et al.
Published: (2026)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

Generative AI and the Transformation of Software Development Practices
by: Acharya, Vivek
Published: (2025)

Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
by: Nayak, Nikhil, et al.
Published: (2026)

Practical Quantum CIM Empowerment via All-Domestic-Core Agentic Large Model
by: Rui, Wang, et al.
Published: (2026)

LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection
by: Xu, Jinyu, et al.
Published: (2026)

DeepPersona: A Generative Engine for Scaling Deep Synthetic Personas
by: Wang, Zhen, et al.
Published: (2025)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
by: Guo, Dongxin, et al.
Published: (2026)

CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)

A Graph-Based Framework for Exploring Mathematical Patterns in Physics: A Proof of Concept
by: Romiti, Massimiliano
Published: (2025)

Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking
by: Jeong, Kyungwon, et al.
Published: (2026)

How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models
by: Keeman, Michael
Published: (2026)

The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)

A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)