BW
Benjamin D. Wandelt
astro-ph.COastro-ph.IMastro-ph.GAastro-phcs.LGgr-qchep-phstat.MLastro-ph.HEhep-th
On Valency
published · living versionsW_ptazjfr8·v1 · currentpublished
VIDE: The Void IDentification and Examination toolkit
with P. M. Sutter, Guilhem Lavaux, Nico Hamaus, Alice Pisani +5
1 version
W_ugyvshz5·v1published
W_f2gcv98u·v1published
W_vyzjn5rm·v1published
Preprints & journals
426 papers in the corpus · 1995–2026ENFR: Evidence Networks with Flow-Matched References for Amortized Simulation-Based Model Inference2610.23825v1 · Kai Lehman, Jameson Dong, Carolina Cuesta-Lazaro et al.2026 · 0 citationsarXiv
AI Scientists as Engines of Discovery: A Case for Development within Reformed Institutions2606.22859v1 · Raul Jimenez, Boris Bolliet, Francisco Villaescusa-Navarro et al.2026 · 0 citationsarXiv
The Degeneracy Distillery2606.23838v1 · T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey et al.2026 · 0 citationsarXiv
Optimal marked statistics from the Effective Field Theory of Large Scale Structure2606.14332v1 · Marco Marinucci, Michele Liguori, Federico Semenzato et al.2026 · 0 citationsarXiv
Interpretable Neural Marked Statistics for Cosmological Inference2606.11295v1 · Federico Semenzato, Benjamin D. Wandelt, Michele Liguori et al.2026 · 0 citationsarXiv
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics2606.11309v1 · J. Williamson, T. L. Makinen, N. Porqueres et al.2026 · 0 citationsarXiv
Field-Level Inference of Primordial Non-Gaussianity with the Quijote Simulation Suite2603.20855v1 · Adam Andrews, Jens Jasche, Guilhem Lavaux et al.2026 · 0 citationsarXiv
Towards Mitigating Systematics in Large-Scale Surveys via Few-Shot Optimal Transport-Based Feature Alignment2511.11787v1 · Sultan Hassan, Sambatra Andrianomena, Benjamin D. Wandelt2025 · 0 citationsarXiv
Galactification: painting galaxies onto dark matter only simulations using a transformer-based model2511.08438v1 · Shivam Pandey, Christopher C. Lovell, Chirag Modi et al.2025 · 0 citationsarXiv
How to evaluate the sufficiency and complementarity of summary statistics for cosmic fields: an information-theoretic perspective2511.08716v1 · Ce Sui, Yi Mao, Xiaosheng Zhao et al.2025 · 1 citationarXiv
Hierarchical summaries for primordial non-Gaussianities2510.12715v1 · M.S. Cagliari, A. Bairagi, B. Wandelt2025 · 0 citationsA&A 710, A12 (2026)
PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations2509.03165v1 · Anirban Bairagi, Benjamin Wandelt2025 · 1 citationarXiv
: Accurate non-Gaussian initial conditions with arbitrary bispectrum for N-body simulations2508.01855v1 · Emanuele Fondi, Licia Verde, Marco Baldi et al.2025 · 0 citationsarXiv
Improving gravitational wave search sensitivity with TIER: Trigger Inference using Extended strain Representation2507.08318v1 · Digvijay Wadekar, Arush Pimpalkar, Mark Ho-Yeuk Cheung et al.2025 · 0 citationsarXiv
Fisher Score Matching for Simulation-Based Forecasting and Inference2507.07833v1 · Ce Sui, Shivam Pandey, Benjamin D. Wandelt2025 · 0 citationsarXiv
A Bayesian catalog of 100 high-significance voids in the Local Universe2507.06866v1 · Rosa Malandrino, Guilhem Lavaux, Benjamin D. Wandelt et al.2025 · 4 citationsA&A 705, A160 (2026)
How many simulations do we need for simulation-based inference in cosmology?2503.13755v2 · Anirban Bairagi, Benjamin Wandelt, Francisco Villaescusa-Navarro2025 · 7 citationsA&A 703, A301 (2025)
Towards Robustness Across Cosmological Simulation Models TNG, SIMBA, ASTRID, and EAGLE2502.13239v1 · Yongseok Jo, Shy Genel, Anirvan Sengupta et al.2025 · 0 citationsarXiv
RTFAST-Spectra: Emulation of X-ray reverberation mapping for active galactic nuclei2412.10131v2 · Benjamin Ricketts, Daniela Huppenkothen, Matteo Lucchini et al.2024 · 1 citationarXiv
On the Significance of Covariance for Constraining Theoretical Models From Galaxy Observables2410.21722v1 · Yongseok Jo, Shy Genel, Joel Leja et al.2024 · 0 citationsarXiv
syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy2410.14623v1 · Ce Sui, Deaglan J. Bartlett, Shivam Pandey et al.2024 · 15 citationsA&A 698, A1 (2025)
Hybrid Summary Statistics2410.07548v2 · T. Lucas Makinen, Ce Sui, Benjamin D. Wandelt et al.2024 · 4 citationsarXiv
Teaching dark matter simulations to speak the halo language2409.11401v1 · Shivam Pandey, Francois Lanusse, Chirag Modi et al.2024 · 0 citationsarXiv
CHARM: Creating Halos with Auto-Regressive Multi-stage networks2409.09124v1 · Shivam Pandey, Chirag Modi, Benjamin D. Wandelt et al.2024 · 1 citationarXiv
Hybrid summary statistics: neural weak lensing inference beyond the power spectrum2407.18909v1 · T. Lucas Makinen, Alan Heavens, Natalia Porqueres et al.2024 · 5 citationsarXiv
Cosmological simulations of scale-dependent primordial non-Gaussianity2407.06641v2 · Marco Baldi, Emanuele Fondi, Dionysios Karagiannis et al.2024 · 5 citationsarXiv
Scaling-laws for Large Time-series Models2405.13867v2 · Thomas D. P. Edwards, James Alvey, Justin Alsing et al.2024 · 1 citationarXiv
Denoising Diffusion Delensing Delight: Reconstructing the Non-Gaussian CMB Lensing Potential with Diffusion Models2405.05598v2 · Thomas Floss, William R. Coulton, Adriaan J. Duivenvoorden et al.2024 · 0 citationsarXiv
Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density2405.00635v3 · Deaglan J. Bartlett, Matthew Ho, Benjamin D. Wandelt2024 · 2 citationsApJL 977 L44 (2024)
Bayesian Multi-line Intensity Mapping2403.19740v2 · Yun-Ting Cheng, Kailai Wang, Benjamin D. Wandelt et al.2024 · 6 citationsarXiv
Zooming by in the CARPoolGP lane: new CAMELS-TNG simulations of zoomed-in massive halos2403.10609v1 · Max E. Lee, Shy Genel, Benjamin D. Wandelt et al.2024 · 16 citationsarXiv
Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity2403.00490v1 · Gabriel Jung, Andrea Ravenni, Michele Liguori et al.2024 · 11 citationsarXiv
syren-halofit: A fast, interpretable, high-precision formula for the CDM nonlinear matter power spectrum2402.17492v2 · Deaglan J. Bartlett, Benjamin D. Wandelt, Matteo Zennaro et al.2024 · 24 citationsA&A 686, A150 (2024)
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology2402.05137v2 · Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier et al.2024 · 36 citations2024 OJA, Vol. 7
A precise symbolic emulator of the linear matter power spectrum2311.15865v2 · Deaglan J. Bartlett, Lukas Kammerer, Gabriel Kronberger et al.2023 · 21 citationsA&A 686, A209 (2024)
Taming assembly bias for primordial non-Gaussianity2311.10088v2 · Emanuele Fondi, Licia Verde, Francisco Villaescusa-Navarro et al.2023 · 20 citationsJCAP02(2024)048
Optimal simulation-based Bayesian decisions2311.05742v1 · Justin Alsing, Thomas D. P. Edwards, Benjamin Wandelt2023 · 3 citationsarXiv
Simulation-based Inference of Reionization Parameters from 3D Tomographic 21 cm Light-cone Images -- II: Application of Solid Harmonic Wavelet Scattering Transform2310.17602v2 · Xiaosheng Zhao, Yi Mao, Shifan Zuo et al.2023 · 17 citationsarXiv
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs2310.03812v2 · T. Lucas Makinen, Justin Alsing, Benjamin D. Wandelt2023 · 5 citationsarXiv
Sensitivity Analysis of Simulation-Based Inference for Galaxy Clustering2309.15071v1 · Chirag Modi, Shivam Pandey, Matthew Ho et al.2023 · 21 citationsarXiv
Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids2307.07555v1 · Leander Thiele, Elena Massara, Alice Pisani et al.2023 · 27 citationsarXiv
Cosmic Chronometers with Photometry: a new path to 2306.11425v1 · Raul Jimenez, Michele Moresco, Licia Verde et al.2023 · 32 citationsarXiv
Information-Ordered Bottlenecks for Adaptive Semantic Compression2305.11213v1 · Matthew Ho, Xiaosheng Zhao, Benjamin Wandelt2023 · 1 citationarXiv
Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison2305.11241v2 · Niall Jeffrey, Benjamin D. Wandelt2023 · 18 citationshttp://iopscience.iop.org/article/10.1088/2632-2153/ad1a4d, 2024, Machine Learning: Science and Technology, 2632-2153
Quijote-PNG: The Information Content of the Halo Mass Function2305.10597v3 · Gabriel Jung, Andrea Ravenni, Marco Baldi et al.2023 · 16 citationsAstrophys.J. 957 (2023) 1, 50
How to estimate Fisher information matrices from simulations2305.08994v3 · William R. Coulton, Benjamin D. Wandelt2023 · 7 citationsarXiv
Posterior Sampling of the Initial Conditions of the Universe from Non-linear Large Scale Structures using Score-Based Generative Models2304.03788v1 · Ronan Legin, Matthew Ho, Pablo Lemos et al.2023 · 25 citationsarXiv
Machine-learning cosmology from void properties2212.06860v2 · Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro et al.2022 · 10 citationsApJ 955 131 (2023)
A Framework for Obtaining Accurate Posteriors of Strong Gravitational Lensing Parameters with Flexible Priors and Implicit Likelihoods using Density Estimation2212.00044v1 · Ronan Legin, Yashar Hezaveh, Laurence Perreault-Levasseur et al.2022 · 14 citationsarXiv
Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observables2211.16461v1 · Yongseok Jo, Shy Genel, Benjamin Wandelt et al.2022 · 20 citationsarXiv
Career total: 646 works. 426 are in this corpus.Showing the 50 most recent.
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