Our seminar focuses on efficient computational methods for numerical
problems, mostly phrased in a mathematical language, arising in areas
of science throughout the Institute and beyond. Topics include
signal processing and data analysis (spike sorting of neural recordings,
cryo-EM for protein imaging, audio representation); computational statistics
(with applications such as the ocean microbiome);
PDEs (fluid flow, waves), integral equations, spectral methods,
"fast" algorithms (i.e., close to optimal complexity);
software libraries and programming.
We discuss research topics as well as review classical topics in numerical
analysis.
The time is 10:30am-noon on Wednesdays, unless announced. We meet at CCM, either the 4th-floor conference room (for less formal discussions), or the 7th or other odd-floored classroom (for external speakers), both at 162 Fifth Ave. All from Flatiron are welcome, and guests from outside must arrange a visitor's pass. Other events of interest are also listed in [square brackets]. |

Please contact Alex Barnett or Cindy Rampersad-Phillips to arrange to speak or invite someone.

- Jan 2 (moved to 1:30pm; 4th floor conf rm): Cole Hurwitz (Institute for Adaptive and Neural Computation, Edinburgh).
*Variational auto-encoders for extracellular spike localization*. - Jan 8 (Tues, 11am): Michael Eickenberg (Neuroscience, UC Berkeley).
*Machine Learning Representations for Imaging Neuroscience and Quantum Chemistry* - Jan 9: Yuehaw Khoo (Stanford).
*Multi-marginal optimal transport, density functional theory, and semidefinite programming* - Jan 16: Hugo Strand (CCQ).
*Exponentially convergent collocation method for the quantum many-body Dyson equation at finite temperature*. - Jan 30: open discussion (Alex, Jeremy, Adi).
- [Feb 6: no mtg]
- Feb 13: open discussion (Keaton, Christian).
- [Feb 25-Mar 1: SIAM CSE, Spokane]
- Mar 6: Euan Spence (Bath, UK).
*Does the Galerkin method converge for the standard second-kind integral equations for the Laplacian on Lipschitz domains?* - Mar 13, 3rd floor classrm: Mikael Slevinsky (Manitoba).
*Fast and stable computations with spherical harmonics*. - [Mar 18-22: Likelihood-Free Inference Workshop @ CCA]
- Mar 20-22: 2nd workshop on "Operator Splitting Methods in Data Analysis" @ Flatiron Institute (organizers: Christian Müller and Patrick Combettes)
- Mar 27: Marsha Berger (NYU).
*Modeling and Simulation of Asteroid-generated Tsunamis*. - Apr 3: Michael Hecht (MOSAIC group, Center for Systems Biology, Max Planck Institute, Dresden).
*Multivariate Newton interpolation* - Apr 10: Denis Zorin (NYU).
*Simulation of 3D particulate Stokesian suspensions*. - Apr 17: Alexander Vladimirsky (Cornell).
*Surveillance-evasion games under uncertainty*. - Apr 24 [7th-fl classrm]: Joshua Glaser (Columbia).
*Machine learning for neural decoding*. - [April 29-May 1: Flatiron/NYU-CDS Gotham City ML X Physics workshop.]
- May 8: open discussion (Alex, Aditya, Joakim).
- May 22: short presentations by Surya Maddu (MPI Dresden) on inferring PDEs, Jun Wang on Stokes rheology simulations, Alex on BLAS3 for direct summation.
- May 29 [7th-fl classrm]: William Leeb (U Minn).
*Matrix Denoising and PCA with Heteroscedastic Noise*. - Jun 5: Silvia Espinosa GĂștiez (MIT). TBA.
- [Jun 7, 3pm, 2nd fl: Flatiron seminar by David Blei, on causal inference.]
- Aug 8-9: Computational Cryo EM Summer Workshop @ Flatiron Institute.
- Oct 30-Nov 1: Flatiron-Wide Algorithms and Mathematics (FWAM!).

- Jan 10: open discussion (Victor, Aaditya, Shidong).
- Jan 17: Logan Grosenick (Columbia).
*Wave optics theory and 3-D deconvolution for the light field microscope* - Jan 24: open discussion (Jeremy, Marina)
- Jan 26 (Friday): Manas Rachh (Yale).
*Fast algorithms for dimensionality reduction and data visualization using t-distributed Stochastic Neighborhood Embedding (t-SNE)* - Jan 31: Adrianna Gillman (Rice).
*Introduction to Fast Direct Solvers* - Feb 7: Joakim Andén (CCB).
*Particle picking in cryo-EM via the APPLE picker* - Feb 14: Aaditya Mishra and Christian Müller (CCB).
- Mar 28: Kamiar Rahnama Rad (Statistics, Baruch College, CUNY).
*A scalable estimate of the extra-sample prediction error via approximate leave-one-out* - Apr 11: open discussion (Jeremy).
- Apr 18: Adi Rangan (NYU).
*Heterogeneity problem in cryo-EM via residuals* - Apr 25: Jun Wang (CCB).
- May 2: Ludvig af Klinteberg (SFU),
*Quadrature for layer potentials with near singularities* - May 9: open discussion (Jun, Christian, Joakim, Charlie).
- May 16: Marina Spivak (CCB).
*Resolution results in cryo-EM* - [May 17: MountainSort users workshop]
- May 23: Dan Foreman-Mackey (CCA).
*Hunting for exoplanets: periodic dips in noisy light curves* - May 30: Eric Lifshin (SUNY).
*Modeling and imaging in scanning electron microscopy (SEM)*. - Jun 13: Roy Lederman (Princeton).
*Inverse Problems and Unsupervised Learning with applications to Cryo-Electron Microscopy* - Jun 20: Alex Barnett (CCB).
*Error analysis of the non-uniform FFT algorithm* - Jun 27: James Jun (CCB/Columbia).
*Spike sorting with IronClust with preliminary results on handling drift* - [July 9-13: ICOSAHOM conference, UK]
- July 26 (relocated due to steam pipe explosion): Hau-Tieng Wu (Duke).
*Can applied harmonic analysis turn a fetus into a radar of maternal stress?* - Aug 1: open discussion (Jeremy, Eftychios, Marina).
- Aug 8: Jeremy Magland (CCB).
*The spikeforest spike sorting validation framework*. - Aug 15: Yu-Hsuan "Melody" Shih (NYU).
*A GPU implementation of FINUFFT in 2D*. - Aug 29: Johan Helsing (Lund).
*Solving integral equations on boundaries with singular points* - Sept 5: Joakim Andén (CCB).
*Review of the Wiener filter*. - Sept 12: Caroline Moore-Kochlacs (MIT, Northeastern).
*Bursting spike detection*. - Sept 19: open discussion (James, Joakim)
- [Sept 25, 4:30 pm, conf rm: Nick Trefethen and Abi Gopal, PDE corners]
- Sept 26 (11am, 7th fl classroom): Tamir Bendory (Princeton).
*Estimation below the detection limit with application to cryo-EM* - Oct 3: Alex Barnett on numerical steepest descent; open discussion (Jeremy).
- Oct 10, 10:30am, 3rd fl classroom: Xinyi Deng (Columbia, neuroscience).
*Clusterless methods for understanding internally generated hippocampal sequences*. - [cancelled: Oct 16, 4:30pm, 7th fl classroom, Greengard gp mtg: Mahadevan Ganesh (Colorado School of Mines).
*A coercive Helmholtz model: Formulation, wavenumber-explicit analysis, and preconditioned high-order FEM*.] - Oct 17, 10am 7th fl classroom: Ari Pakman (Columbia).
*Sampling with Velocities* - [Oct 18, 11:15am, 3rd fl classroom: StĂ©phane Mallat (Collège de France).
*Learning in High Dimension: Is There an Architecture of Complexity?*] - [Oct 22, 7th fl classroom, BPM seminar: Yoichiro Mori (U. Minn.).
*Mathematical Justification of Slender Body Theory*] - Oct 23, 10:30am, 5rd fl classroom: Gabi Pragier (Tel-Aviv University).
*A common-lines approach for three-dimensional modeling of molecules in cryo-electron microscopy* - [Oct 24-26: FI Software Revue]
- Oct 31: Christian Müller (CCM).
*Overview of statistical learning of PDE coefficients* - Nov 5, 5th fl classroom: Yariv Aizenbud (Tel-Aviv University).
*Randomized algorithms for matrix decomposition*. - [Nov 6, 10am, 7th fl classroom: Dhairya Malhotra (CIMS).
*Overview of PVFMM: a parallel kernel-independent FMM library for particle and volume potentials)*. ] - Nov 7: Eftychios Pnevmatikakis (CCM).
*Convex clustering* - Nov 14, 7th fl classroom: Bill Press (UT Austin).
*Indel-tolerant error-correcting codes and algorithms for DNA*. - Nov 20, 2pm, 7th fl classrm: Risi Kondor (CS and Stats, U. Chicago).
*Covariant neural network architectures for learning physics*. - Nov 28: Leo Zepeda-Núñez (Lawrence Berkeley Labs).
*Accelerating ab-initio molecular dynamics via multi-scale neural networks*. - Dec 12, 7th fl classroom: David Schneider (CNS, NYU).
*Concepts and technologies for studying neural circuits in behaving mice* - Dec 13: Ozan Öktem (KTH).
*Recent advances in using machine learning for image reconstruction* - Dec 19, 2pm, 4th fl conf: Redux of Cryo-ET conference (Manas, Joakim); open discussion.

- Apr 5: Patrick Combettes (NCSU).
*Perspective functions: construction, proximal calculus, and applications in data analysis* - Oct 4: open discussion (Aaditya, Joakim, Marina)
- Oct 11: open discussion (Victor, Christian, Marina)
- Oct 25: Aaditya Mishra (CCB).
*Robust sparse regression for compositional data* - Nov 15: Jun Wang (CCB).
*Fast integral-equation based solvers for the heat equation with moving boundary* - Nov 29: Jeremy Magland (CCB).
*Spike sorting with drift via dynamic programming*