Pablo Lemos

University College London

United Kingdom

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Articles (17)

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

Collaborators (23)

Azadeh Moradinezhad Dizgah

CNRS Junior Professor

FRANCE

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Aaron Roodman

Professor

SLAC National Accelerator Laboratory

UNITED STATES

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Jiamin Hou

University of Cambridge

UNITED KINGDOM

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Xiao Fang

University of Arizona

UNITED STATES

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Chihway Chang

Assistant Professor

University of Chicago

UNITED STATES

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Jessica Muir

Assistant Professor

University of Cincinnati

UNITED STATES

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Seshadri Nadathur

University College London

UNITED KINGDOM

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Santiago Avila

Institut de Física d'Altes Energies

SPAIN

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Abbas Askar

Lund University

SWEDEN

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Arya Farahi

Assistant Professor

University of Texas at Austin

UNITED STATES

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Martin Rodriguez-Monroy

Instituto de Física Teórica

SPAIN

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Andrei Cuceu

UNITED STATES

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Alexandra Amon

Professor

UNITED STATES

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William Holzapfel

Professor

University of California, Berkeley

UNITED STATES

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Vivian Miranda

Assistant Professor

Stony Brook University

UNITED STATES

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Elena Massara

University of Waterloo

CANADA

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Gary Bernstein

Professor

University of Pennsylvania

UNITED STATES

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Gregory Tarlé

Professor

UNITED STATES

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Robert Gruendl

Associate Research Professor

University of Illinois System

UNITED STATES

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Antony Lewis

Professor of Cosmology

University of Sussex

UNITED KINGDOM

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Michela Mapelli

Heidelberg University

GERMANY

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Carles Sánchez

Ramón y Cajal Fellow and Lecturer

University of Barcelona

SPAIN

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Elisabeth Krause

Associate Professor

University of Arizona

UNITED STATES

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Pablo Lemos

Research Interests

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Articles (17)

Field-level simulation-based inference of galaxy clustering with convolutional neural networks

Interpretable Machine Learning for Finding Intermediate-mass Black Holes

Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and <math display='inline'> <mrow> <mi>P</mi> <mi>l</mi> <mi>a</mi> <mi>n</mi> <mi>c</mi> <mi>k</mi> </mrow> </math> . II. Cross-correlation measurements and cosmological constraints

Cosmological Information in the Marked Power Spectrum of the Galaxy Field

SimBIG: mock challenge for a forward modeling approach to galaxy clustering

Dark Energy Survey Year 3 Results

Rediscovering orbital mechanics with machine learning

The Dark Energy Survey Year 3 and eBOSS: constraining galaxy intrinsic alignments across luminosity and colour space

Dark Energy Survey Year 3 results: magnification modelling and impact on cosmological constraints from galaxy clustering and galaxy–galaxy lensing

CMB constraints on the early Universe independent of late-time cosmology

Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey

Robust simulation-based inference in cosmology with Bayesian neural networks

A forward modeling approach to analyzing galaxy clustering with S im BIG

Dark Energy Survey Year 3 results: redshift calibration of the MagLim lens sample from the combination of SOMPZ and clustering and its impact on cosmology

Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators

Posterior sampling of the initial conditions of the universe from non-linear large scale structures using score-based generative models

Direct cosmological inference from three-dimensional correlations of the Lyman α forest

Collaborators (23)

Azadeh Moradinezhad Dizgah

Aaron Roodman

Jiamin Hou

Xiao Fang

Chihway Chang

Jessica Muir

Seshadri Nadathur

Santiago Avila

Abbas Askar

Arya Farahi

Martin Rodriguez-Monroy

Andrei Cuceu

Alexandra Amon

William Holzapfel

Vivian Miranda

Elena Massara

Gary Bernstein

Gregory Tarlé

Robert Gruendl

Antony Lewis

Michela Mapelli

Carles Sánchez

Elisabeth Krause

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