Haas, R. (2019, April 13). Assessing confidence in numerical relativity waveforms of binary neutron star mergers. APS April Meeting 2019, Denver, CO. http://meetings.aps.org/Meeting/APR19/Session/C11.4
Haas, R. (2018, September 12). Assessing confidence in numerical relativity waveforms of binary neutron star mergers [Contributed talk]. European Einstein Toolkit Workshop 2018, Univeristy of Lisbon, Portugal. https://centra.tecnico.ulisboa.pt/network/grit/einsteintoolkit2018/program/
Haas, R. (2018, June 19). HydroToyOpenMP status [Contributed talk]. 2018 North American Einstein Toolkit Workshop @Georgia Tech, Atlanta,GA. http://et-workshop18.physics.gatech.edu/programs/
Haas, R. (2018, June 6). Einstein Toolkit “Tesla” release. 2018 North American Einstein Toolkit Workshop @Georgia Tech, Atlanta,GA. http://et-workshop18.physics.gatech.edu/programs/
Puri, V. (2018, April 17). Scheduled Relaxation Jacobi Method for Initial Data Problems. APS April Meeting 2018, Columbus, OH. http://absuploads.aps.org/presentation.cfm?pid=14315
Brubeck, P. (2018, April 17). On the Schur complement of the nearest Kronecker product preconditioner for elliptic boundary value problems. APS April Meeting 2018, Columbus, OH. http://absuploads.aps.org/presentation.cfm?pid=13990
Markakis, C. (2018, April 17). Helmholtz’s third theorem in numerical general relativity. APS April Meeting 2018, Columbus, OH. http://absuploads.aps.org/presentation.cfm?pid=14317
Shen, H. (2018, April 16). Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders. http://absuploads.aps.org/presentation.cfm?pid=14244
Haas, R. (2018, April 15). Assessing confidence in numerical relativity waveforms of binary neutron star mergers. APS April Meeting 2018, Columbus, OH. http://meetings.aps.org/Meeting/APR18/Session/J13.1
George, D. (2018, April 15). Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data. APS April Meeting 2018, Columbus, OH. http://absuploads.aps.org/presentation.cfm?pid=13999
Haas, R. (2018, April 15). BOSS-LDG using Blue Waters for LIGO data analysis [Poster]. APS April Meeting 2018, Columbus, OH. http://meetings.aps.org/Meeting/APR18/Session/L01.25
Shen, H. (2018, April 15). Glitch Classification and Clustering for LIGO with Deep Transfer Learning [Poster]. APS April Meeting 2018, Columbus, OH. http://meetings.aps.org/Meeting/APR18/Session/L01.27
Rebei, A. (2018, April 14). Influence of higher-order waveform multipoles for the detection of eccentric binary black hole mergers. APS April Meeting 2018, Columbus, OH. http://absuploads.aps.org/presentation.cfm?pid=13797
Seidel, E. (2018, January). Numerical Relativity 1980-2000s: The era of sharpening our tools and exploring Einstein’s physics. http://absuploads.aps.org/presentation.cfm?pid=14121
Haas, R. (2017, October 12). HydroOpenMPToy status [Contributed talk]. European Einstein Toolkit Workshop 2017, Mallorc. http://grg.uib.es/EinsteinToolkit2017/
Haas, R. (2017, October 11). Einstein Toolkit “Hack” release. European Einstein Toolkit Workshop 2017, Mallorca, Spain. http://grg.uib.es/EinsteinToolkit2017/
Haas, R. (2017, September 27). Community astrophysics science with the Einstein Toolkit [Seminar]. Astrophysics, Gravitation, and Cosmology seminar, Urbana-Champaign, IL. http://calendars.illinois.edu/detail/598?eventId=33274207
Allen, G. (2017, June 28). Education & Community Building (In Astrophysics) [Invited Talk]. 2nd Annual Crops in Silico Symposium and Workshop, St Catherine’s College, University of Oxford. https://www.slideshare.net/gridrebel/crops-in-silico-workshop-oxford-june-2017
George, D., Shen, H., & Huerta, E. (2017, June 12). Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO [Remote talk]. LIGO Detector Characterization Working Group, NCSA. https://www.slideshare.net/DanielGeorge2/deep-transfer-learning-a-new-deep-learning-glitch-classification-method-for-advanced-ligo
George, D., & Huerta, E. (2017, May 8). Deep Learning for Hidden Signals - Enabling Real-time Multimessenger Astrophysics [Invited Talk]. GPU Technology Conference 2017 (GTC 2017), San Jose, California. https://www.slideshare.net/DanielGeorge2/deep-learning-for-hidden-signals-enabling-realtime-multimessenger-astrophysics
Allen, G. (2017, April 19). Cyberinfrastructure for Einstein’s Equations and Beyond [Invited Talk]. Data Science Workshop, Higher Education Commission, Pakistan, Islamabad, Pakistan. https://www.slideshare.net/gridrebel/cyberinfrastructure-for-einsteins-equations-and-beyond
Ed Seidel, Director of the National Center for Supercomputing Applications. (2016, June 8). https://www.youtube.com/watch?v=FwP13j589jc
Basic Sciences as Building Blocks for Innovation -- Ed Seidel. (2015, June 9). https://www.youtube.com/watch?v=2xRTrCUPfig
NCSA Director Ed Seidel congratulates Larry Smarr for his Golden Goose Award. (2014, February 15). https://www.youtube.com/watch?v=cpKokUlO0L8
Huerta, E. (n.d.). Detection and characterization of eccentric compact binary coalescence at the interface of numerical relativity, analytical relativity and machine learning. Retrieved July 8, 2018, from http://absuploads.aps.org/presentation.cfm?pid=14006