# Talks

This list has not been updated in a while! Please see my CV for a full list of talks.

• American Physical Society March Meeting, Session on Predicting and Classifying Materials via High-Throughput Databases and Machine Learning, Baltimore, Maryland. Deep Wavelet Scattering for Quantum Energy Regression. March 15, 2016. pdf.
• Physical Chemistry Seminar, Michigan State University. High Dimensional Learning Rather than Computing in Quantum Chemistry. November 17, 2015. pdf.
• 8th Whitney Problems Workshop, CIRM, Luminy, France. Computing Minimal Interpolants in $C^{1,1}(\mathbb{R}^d)$ (with Ariel Herbert-Voss and Frederick McCollum). October 22, 2015.
• Computer Science and Engineering Lecture Series, Michigan State University. High Dimensional Learning Rather than Computing in Quantum Chemistry. October 9, 2015. pdf.
• Applied Math Seminar, Michigan State University. Quantum Energy Regression via Scattering Transforms. September 11, 2015. pdf.
• PASC15 Conference, Mini-symposium on Big Data Analytics for Novel Materials Discovery, Zürich, Switzerland. Quantum Energy Regression by Scattering Transforms. June 1, 2015. pdf.
• Data Team Seminar, École normale supérieure. Regression of Quantum Energies by Scattering. May 7, 2015. pdf.
• Colloquium, University of Minnesota. Interpolation for Physical Big Data. February 26, 2015. pdf.
• Colloquium, City College of New York. Interpolation for Physical Big Data. February 18, 2015. pdf.
• Applied Mathematics Seminar, Yale University. High dimensional learning rather than computing in quantum chemistry. February 4, 2015. pdf.
• Colloquium, Michigan State University. Interpolation for Physical Big Data. January 16, 2015. pdf.
• Joint Mathematics Meetings, AMS Session on Numerical Analysis and Computer Science, San Antonio, Texas. High dimensional learning rather than computing in quantum chemistry. January 11, 2015. pdf.
• Foundations of Computational Mathematics Conference 2014, Workshop A2: Computational Harmonic Analysis, Image and Signal Processing, Universidad de la República. High dimensional learning rather than computing in quantum chemistry. December 12, 2014. pdf.
• 5th International Conference on Computational Harmonic Analysis, Vanderbilt University. Minimal C^{1,1} Extensions. May 23, 2014. pdf.
• Analyse non-linéaire et EDP seminar, Institut Henri Poincaré. Minimal C^{1,1} Extensions. April 15, 2014. pdf.
• Sierra group meeting, École normale supériure. Diffusion based manifold learning (joint talk with Guy Wolf). October 23, 2013. pdf.
• Statistics, Mathematics and Applications Conference, Fréjus, France. Diffusion maps for changing data. September 3, 2013. pdf.
• Smorgasbord Seminar, Cornell University. Diffusion geometry for high dimensional data. July 3, 2013. pdf.
• Analysis Seminar, Yale University. Quasi absolutely minimal Lipschitz extensions. February 21, 2013. pdf.
• Analysis Seminar, Cornell University. New developments in the theory of absolutely minimal Lipschitz extensions. December 3, 2012. pdf.
• Colloquium, Kansas State University. Diffusion maps for changing data. November 29, 2012. pdf.
• Image Analysis Seminar, University of Houston. Diffusion maps for changing data. November 5, 2012. pdf.
• Computational Analysis Seminar, Vanderbilt University. Diffusion maps for changing data. October 17, 2012. pdf.
• Norbert Wiener Center Seminar, University of Maryland. Diffusion maps for changing data. October 2, 2012. pdf.
• Workshop on Whitney type extension and trace problems, The Fields Institute. A general theorem of existence of quasi absolutely minimal Lipschitz extensions. August 28, 2012. video (Fields website).
• Mathematics Colloquium and Informal Seminar, Bell Labs. Diffusion maps for changing data. July 26, 2012. pdf.
• Operator Algebras, Frames, and Undergraduate Research: A Conference in Honor of the 70th Birthday of David R. Larson, Texas A&M University. Diffusion maps for changing data. July 21, 2012. pdf.
• Applied Mathematics Seminar, Duke University. Diffusion maps for changing data. January 23, 2012. pdf.
• Groupe de travail “applications des mathématiques,” École normale supérieure de Cachan, Antenne de Bretagne, France. Minimal interpolants in C^{1,1}(R^n). December 7, 2011. pdf.
• Fourth Whitney Problems Workshop, College of William and Mary. Wells’ construction of interpolants in C^{1,1}(R^n). August 4, 2011.
• Applied Mathematics Seminar, Yale University. Sparse endmember extraction and demixing. October 6, 2009. pdf.
• Mini-Conference in Harmonic Analysis on the Occasion of John Benedetto’s 70th Birthday, University of Maryland. Harmonic frames of prime order. August 21, 2009. pdf.
• PhD Final Oral Examination, University of Maryland. Enumeration of harmonic frames and frame based dimension reduction. July 24, 2009. pdf.
• Multispectral Retinal Imaging and Mapping of Naturally Occurring Fluorophore and Chromophore Distributions Research Interaction Team, University of Maryland. Frame potential classification algorithm for retinal data. May 11, 2009. pdf.
• Recent Advances in Harmonic Analysis and Elliptic Partial Differential Equations (conference), University of Virginia. Frame based kernel methods for hyperspectral imagery data. May 9, 2009. pdf.
• Graduation Conference 2009, University of Maryland. Frame based kernel methods for hyperspectral imagery data. May 1, 2009. pdf.
• Norbert Wiener Center Seminar, University of Maryland. Uncertainty principles in sparse representation and compressed sensing. November 8, 2007. pdf.
• Norbert Wiener Center Seminar, University of Maryland. Uncertainty principles for finite abelian groups. September 20, 2007. pdf.
• Mathematical Association of America Mathfest, Burlington, Vermont. Mock Fourier series for the standard Cantor measure. August 2, 2002.