Fetching the paper…
Reading the bibliography…
In this work we study orbit recovery over $SO(3)$, where the goal is to recover a function on the sphere from noisy, randomly rotated copies of it.
Cryo-electron microscopy of viruses
Marc Adrian, Jacques Dubochet, Jean Lepault, and Alasdair W McDowall · 1984
Earlier work this paper cites.
Effective łojasiewicz inequalities in semialgebraic geometry
Pablo Solernó · 1991
Earlier work this paper cites.
Invariant theory
Victor Kac · 1994
Earlier work this paper cites.
Evaluation of the rotation matrices in the basis of real spherical harmonics
Miguel A Blanco, Manuel Flórez, and Margarita Bermejo · 1997
Earlier work this paper cites.
Distributional and l q l^{q} norm inequalities for polynomials over convex bodies in ℝ n \mathbb{R}^{n}
Anthony Carbery and James Wright · 2001
Earlier work this paper cites.
Learning nonsingular phylogenies and hidden markov models
Elchanan Mossel and Sébastien Roch · 2005
Earlier work this paper cites.
Electron tomography: methods for three-dimensional visualization of structures in the cell
Joachim Frank · 2008
Earlier work this paper cites.
Some classes of ‘nontrivial zeroes’ of angular momentum addition coefficients
TA Heim, J Hinze, and ARP Rau · 2009
Earlier work this paper cites.
Polynomial learning of distribution families
Mikhail Belkin and Kaushik Sinha · 2010
Earlier work this paper cites.
Efficiently learning mixtures of two gaussians
Adam Tauman Kalai, Ankur Moitra, and Gregory Valiant · 2010
Earlier work this paper cites.
Settling the polynomial learnability of mixtures of gaussians
Ankur Moitra and Gregory Valiant · 2010
Earlier work this paper cites.
A spectral algorithm for latent dirichlet allocation
Anima Anandkumar, Dean P Foster, Daniel J Hsu, Sham M Kakade, and Yi-Kai Liu · 2012
Cited alongside, same era.
Learning topic models–going beyond svd
Sanjeev Arora, Rong Ge, and Ankur Moitra · 2012
Cited alongside, same era.
Learning mixtures of spherical gaussians: moment methods and spectral decompositions
Daniel Hsu and Sham M Kakade · 2013
Cited alongside, same era.
Smoothed analysis of tensor decompositions
Aditya Bhaskara, Moses Charikar, Ankur Moitra, and Aravindan Vijayaraghavan · 2014
Cited alongside, same era.
Learning mixtures of gaussians in high dimensions
Rong Ge, Qingqing Huang, and Sham M Kakade · 2015
Cited alongside, same era.
Minimal realization problems for hidden markov models
Qingqing Huang, Rong Ge, Sham Kakade, and Munther Dahleh · 2015
Cited alongside, same era.
Bispectrum inversion with application to multireference alignment
Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, and Amit Singer · 2017
Later among the works it cites.
Estimation under group actions: recovering orbits from invariants, 2018
Afonso S. Bandeira, Ben Blum-Smith, Joe Kileel, Amelia Perry, Jonathan Weed, and Alexander S. Wein · 2018
Later among the works it cites.
Algorithmic aspects of machine learning
Ankur Moitra · 2018
Later among the works it cites.
Mathematics for cryo-electron microscopy, 2018
Amit Singer · 2018
Later among the works it cites.
Robust estimators in high-dimensions without the computational intractability
Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Ankur Moitra, and Alistair Stewart · 2019
Later among the works it cites.
Spectral methods from tensor networks
Ankur Moitra and Alexander S Wein · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Anti-concentration for polynomials of independent random variables, 2015
Raghu Meka, Oanh Nguyen, and Van Vu · 2015
Cited alongside, same era.
Super-resolution, extremal functions and the condition number of vandermonde matrices
Ankur Moitra · 2015
Cited alongside, same era.
Fundamental limits in multi-image alignment
Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi, and Guillermo Sapiro · 2016
Cited alongside, same era.
Agnostic estimation of mean and covariance
Kevin A Lai, Anup B Rao, and Santosh Vempala · 2016
Cited alongside, same era.
The development of cryo-em into a mainstream structural biology technique
Eva Nogales · 2016
Cited alongside, same era.
Non-asymptotic identification of lti systems from a single trajectory
Samet Oymak and Necmiye Ozay · 2019
Later among the works it cites.
The sample complexity of multireference alignment
Amelia Perry, Jonathan Weed, Afonso S Bandeira, Philippe Rigollet, and Amit Singer · 2019
Later among the works it cites.
Smoothed analysis for tensor methods in unsupervised learning
Aditya Bhaskara, Aidao Chen, Aidan Perreault, and Aravindan Vijayaraghavan · 2020
Later among the works it cites.
Optimal rates of estimation for multi-reference alignment
Afonso S Bandeira, Jonathan Niles-Weed, and Philippe Rigollet · 2020
Later among the works it cites.
Algorithmic foundations for the diffraction limit
Sitan Chen and Ankur Moitra · 2021
Closest in time.