Machine Learning

Authors and titles for recent submissions

• Fri, 21 Jun 2024
• Wed, 19 Jun 2024
• Tue, 18 Jun 2024
• Mon, 17 Jun 2024
• Fri, 14 Jun 2024

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Fri, 21 Jun 2024 (showing first 25 of 44 entries )

[1] arXiv:2406.14426 [pdf, html, other]

Title: Transferable Boltzmann Generators

Leon Klein, Frank Noé

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Chemical Physics (physics.chem-ph); Computational Physics (physics.comp-ph)

[2] arXiv:2406.14302 [pdf, other]

Title: Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning

Patrik Reizinger, Siyuan Guo, Ferenc Huszár, Bernhard Schölkopf, Wieland Brendel

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[3] arXiv:2406.14071 [pdf, html, other]

Title: Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits

Ziyi Huang, Henry Lam, Haofeng Zhang

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[4] arXiv:2406.14040 [pdf, html, other]

Title: A Practical Diffusion Path for Sampling

Omar Chehab, Anna Korba

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[5] arXiv:2406.14033 [pdf, other]

Title: Ensembles of Probabilistic Regression Trees

Alexandre Seiller, Éric Gaussier (APTIKAL), Emilie Devijver (APTIKAL), Marianne Clausel (IECL), Sami Alkhoury

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[6] arXiv:2406.14009 [pdf, html, other]

Title: Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning

Asaf Ben Arie, Malka Gorfine

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[7] arXiv:2406.14003 [pdf, html, other]

Title: Deep Optimal Experimental Design for Parameter Estimation Problems

Md Shahriar Rahim Siddiqui, Arman Rahmim, Eldad Haber

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Methodology (stat.ME)

[8] arXiv:2406.13995 [pdf, html, other]

Title: Prediction of Unobserved Bifurcation by Unsupervised Extraction of Slowly Time-Varying System Parameter Dynamics from Time Series Using Reservoir Computing

Keita Tokuda, Yuichi Katori

Comments: 17 pages, 7 figures

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD)

[9] arXiv:2406.13989 [pdf, html, other]

Title: Random pairing MLE for estimation of item parameters in Rasch model

Yuepeng Yang, Cong Ma

Subjects: Machine Learning (stat.ML); Information Theory (cs.IT); Machine Learning (cs.LG); Statistics Theory (math.ST)

[10] arXiv:2406.13936 [pdf, html, other]

Title: Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods

Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)

[11] arXiv:2406.13619 [pdf, html, other]

Title: Generative Modeling by Minimizing the Wasserstein-2 Loss

Yu-Jui Huang, Zachariah Malik

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[12] arXiv:2406.13488 [pdf, html, other]

Title: Approximately Equivariant Neural Processes

Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel Bruinsma, Richard E. Turner

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[13] arXiv:2406.13425 [pdf, html, other]

Title: Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis

Qiao Chen, Elise Arnaud, Ricardo Baptista, Olivier Zahm

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Statistics Theory (math.ST)

[14] arXiv:2406.13154 [pdf, html, other]

Title: Conditional score-based diffusion models for solving inverse problems in mechanics

Agnimitra Dasgupta, Harisankar Ramaswamy, Javier Murgoitio Esandi, Ken Foo, Runze Li, Qifa Zhou, Brendan Kennedy, Assad Oberai

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

[15] arXiv:2406.13151 [pdf, html, other]

Title: von Mises Quasi-Processes for Bayesian Circular Regression

Yarden Cohen, Alexandre Khae Wu Navarro, Jes Frellsen, Richard E. Turner, Raziel Riemer, Ari Pakman

Comments: Contribution to the Structured Probabilistic Inference & Generative Modeling workshop of ICML 2024

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)

[16] arXiv:2406.13036 [pdf, html, other]

Title: Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities

Matthew T.C. Li, Tiangang Cui, Fengyi Li, Youssef Marzouk, Olivier Zahm

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Statistics Theory (math.ST); Computation (stat.CO)

[17] arXiv:2406.14469 (cross-list from cs.CE) [pdf, html, other]

Title: Fusion of Movement and Naive Predictions for Point Forecasting in Univariate Random Walks

Cheng Zhang

Subjects: Computational Engineering, Finance, and Science (cs.CE); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Machine Learning (stat.ML)

[18] arXiv:2406.14399 (cross-list from cs.LG) [pdf, html, other]

Title: WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark

Tao Han, Song Guo, Zhenghao Chen, Wanghan Xu, Lei Bai

Comments: 26 pages,13 figures

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (stat.ML)

[19] arXiv:2406.14347 (cross-list from physics.chem-ph) [pdf, other]

Title: $\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials

Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey Nikolenko, Elena Tutubalina, Artur Kadurin

Subjects: Chemical Physics (physics.chem-ph); Machine Learning (cs.LG); Machine Learning (stat.ML)

[20] arXiv:2406.14292 (cross-list from stat.CO) [pdf, html, other]

Title: Proximal Interacting Particle Langevin Algorithms

Paula Cordero Encinar, Francesca R. Crucinio, O. Deniz Akyildiz

Comments: 50 pages

Subjects: Computation (stat.CO); Optimization and Control (math.OC); Machine Learning (stat.ML)

[21] arXiv:2406.14269 (cross-list from math.ST) [pdf, html, other]

Title: Concentration of a sparse Bayesian model with Horseshoe prior in estimating high-dimensional precision matrix

The Tien Mai

Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)

[22] arXiv:2406.14246 (cross-list from q-bio.QM) [pdf, html, other]

Title: Non-Negative Universal Differential Equations With Applications in Systems Biology

Maren Philipps, Antonia Körner, Jakob Vanhoefer, Dilan Pathirana, Jan Hasenauer

Comments: 6 pages, This work has been submitted to IFAC for possible publication. Initial submission was March 18, 2024

Subjects: Quantitative Methods (q-bio.QM); Machine Learning (cs.LG); Dynamical Systems (math.DS); Machine Learning (stat.ML)

[23] arXiv:2406.14159 (cross-list from stat.AP) [pdf, html, other]

Title: Enhancing multivariate post-processed visibility predictions utilizing CAMS forecasts

Mária Lakatos, Sándor Baran

Comments: 23 pages, 10 figures

Subjects: Applications (stat.AP); Machine Learning (stat.ML)

[24] arXiv:2406.14059 (cross-list from cs.GT) [pdf, other]

Title: Tracking solutions of time-varying variational inequalities

Hédi Hadiji, Sarah Sachs (UvA), Cristóbal Guzmán (UC)

Subjects: Computer Science and Game Theory (cs.GT); Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[25] arXiv:2406.14026 (cross-list from cs.LG) [pdf, html, other]

Title: Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations

Xisen Jin, Xiang Ren

Comments: 5 pages

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)