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Papers matching “order parameter” 31

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On the Parameterized Complexity of Learning First-Order Logic
2021 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Steffen van Bergerem, Martin Grohe, Martin Ritzert

0

citations
First-Order Model-Checking in Random Graphs and Complex Networks
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Daniel Mock, Peter Rossmanith

0

citations
Generalized Parameter Lifting: Finer Abstractions for Parametric Markov Chains
2025 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Linus Heck, Tim Quatmann, Jip Spel, Joost-Pieter Katoen, Sebastian Junges

0

citations
The loss landscape of deep linear neural networks: a second-order analysis
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz

1

citations
TTCBF: A Truncated Taylor Control Barrier Function for High-Order Safety Constraints
2026 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Jianye Xu, Bassam Alrifaee

0

citations
Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran

0

citations
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Itay Lavie, Kirsten Fischer, Andrey Lekov, Frederic Van Maele, Zohar Ringel, Moritz Helias

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Constant-time equilibration of observables under rapid Lindbladian dynamics
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Štěpán Šmíd, Richard Meister, Mario Berta, Roberto Bondesan

0

citations
Repulsion dynamics for uniform Pareto front approximation in multi-objective optimization problems
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi

1

citations
An Algorithmic Meta Theorem for Homomorphism Indistinguishability
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Tim Seppelt

1

citations
Supercritical Size-Width Tree-Like Resolution Trade-Offs for Graph Isomorphism
2024 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Berkholz, Moritz Lichter, Harry Vinall-Smeeth

3

citations
End-to-end resource analysis for quantum interior point methods and portfolio optimization
2022 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Alexander M. Dalzell, B. D. Clader, Grant Salton, Mario Berta, Cedric Yen-Yu Lin, David A. Bader, +5 more

3

citations
The Complexity of Homomorphism Reconstructibility
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Böker, Louis Härtel, Nina Runde, Tim Seppelt, Christoph Standke

1

citations
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Juan Agustin Duque, Sergio García Heredia, Vinicius Hernandes, Eliška Greplová, Thomas Spriggs, Aaron Courville, +1 more

0

citations
Learning More Expressive General Policies for Classical Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Simon Ståhlberg, Blai Bonet, Héctor Geffner

0

citations
Are Targeted Messages More Effective?
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Martin Grohe, Eran Rosenbluth

1

citations
Generalized LIMDDs: Succinctness and Canonicity for Decision Diagrams Modulo a Group
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Arend-Jan Quist, Alexis de Colnet, Thomas Reps, Alfons Laarman

0

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Monotonicity of the cops and robber game for bounded depth treewidth
2024 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Isolde Adler, Eva Fluck

0

citations
Efficient Hamiltonian-aware Quantum Natural Gradient Descent for Variational Quantum Eigensolvers
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Hao Wang

0

citations
Perturbative power series for block diagonalisation of Hermitian matrices
2024 arXiv (Cornell University) preprint Computer Science Matrix Theory and Algorithms Open access

Ishan NH Mankodi, David Peter Divincenzo

1

citations
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

1

citations
Quantum machine learning advantages beyond hardness of evaluation
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Simon C. Marshall, Vedran Dunjko

0

citations