Search for tag: "matrices"

10 Media

Kawabata, Kohei, March 19, 2024, "Symmetry… duration 44 minutes 43 seconds Kawabata, Kohei, March 19, 2024, "Symmetry… Kawabata, Kohei, March 19, 2024, "Symmetry classification of non-Hermitian random matrices and open quantum systems"	Kawabata, Kohei, March 19, 2024, "Symmetry classification of non-Hermitian random matrices and open quantum systems" kohei kawabata pcts random physics symmetry statistics systems level matrices quantum symmetries classification crosses chaos particle origin matrix equation classes conjugation class distributions behavior presence From Broadcast Broadcast Center Staff 0 likes 0 plays Date March 19th, 2024 Speaker Kohei Kawabata Department PCTS Location Jadwin Hall Room 407
Byun, Sung-soo, March 20, 2024, "Partition… duration 46 minutes 32 seconds Byun, Sung-soo, March 20, 2024, "Partition… Byun, Sung-soo, March 20, 2024, "Partition functions of non-Hermitian random matrices"	Byun, Sung-soo, March 20, 2024, "Partition functions of non-Hermitian random matrices" sung-soo byun pcts random physics function model point matrices potential formula kind expansions thing conjecture expansion symmetry energy behavior paper term problem regime drum beta From Broadcast Broadcast Center Staff 0 likes 7 plays Date March 20th, 2024 Speaker Sung-soo Byun Department PCTS Location Jadwin Hall Room 407
Kawabata, Kohei, March 19, 2024, "Symmetry… duration 44 minutes 43 seconds Kawabata, Kohei, March 19, 2024, "Symmetry… Kawabata, Kohei, March 19, 2024, "Symmetry classification of non-Hermitian random matrices and open quantum systems"	Kawabata, Kohei, March 19, 2024, "Symmetry classification of non-Hermitian random matrices and open quantum systems" kohei kawabata pcts random physics symmetry statistics level systems quantum symmetries classification crosses matrices chaos equation origin particle matrix conjugation behavior presence distributions classes model From Broadcast Broadcast Center Staff 0 likes 2 plays Date March 19th, 2024 Speaker Kohei Kawabata Department PCTS Location Jadwin Hall Room 407
Akemann, Gernot, March 19, 2024, "Fermionic… duration 48 minutes 41 seconds Akemann, Gernot, March 19, 2024, "Fermionic… Akemann, Gernot, March 19, 2024, "Fermionic systems low dimensions and random matrix theory"	Akemann, Gernot, March 19, 2024, "Fermionic systems low dimensions and random matrix theory" pcts random physics gernot akemann matrix variance density function functions radius limit class origin square potential edge trap matrices point theory question ensemble domain disc From Broadcast Broadcast Center Staff 0 likes 7 plays Date March 19th, 2024 Speaker Gernot Akemann Department PCTS Location Jadwin Hall Room 407
Erdos, Laszlo, March 18, 2024, "Spectral… duration 48 minutes 36 seconds Erdos, Laszlo, March 18, 2024, "Spectral… Erdos, Laszlo, March 18, 2024, "Spectral universality of non-Hermitian random matrices"	Erdos, Laszlo, March 18, 2024, "Spectral universality of non-Hermitian random matrices" pcts random physics laszlo erdos distribution matrix question point statistics process matrices thing density bit element spectrum picture values universality scale situation end object proofs From Broadcast Broadcast Center Staff 0 likes 9 plays Date March 18th, 2024 Speaker Laszlo Erdos Department PCTS Location Jadwin Hall Room 407
EEB 522 Seminar Series \| Stefano Allesina duration 48 minutes 31 seconds EEB 522 Seminar Series \| Stefano Allesina EEB 522 Seminar Series \| Stefano Allesina	EEB 522 Seminar Series \| Stefano Allesina EEB 522 Seminar Series Colloquium on the Biology of Populations Presented by Stefano Allesina “Will a stable complex system be large?” eeb ecology and evolutionary biology ecology & evolutionary biology species distribution matrix rate shadow colonization model equilibrium fact dynamics probability pieces rates numbers things matrices idea piece models volterra From EEB Media 0 likes 34 plays Date April 6th, 2023 Speaker Stefano Allesina Department Ecology and Evolutionary Biology Location Guyot Hall
OURSIP Intern - Kyle Ayisi duration 3 minutes 4 seconds OURSIP Intern - Kyle Ayisi OURSIP Intern - Kyle Ayisi	OURSIP Intern - Kyle Ayisi Event Segmentation and Hidden Markov Models Mentors: Prof. Ken Norman, Neuroscience Jamal Williams, Neuroscience events memory brain movie experiences variables scholars segmentation model markov dataset segmentations prediction matrices correlation python weather boundaries individual event From our Undergraduate Research 0 likes 59 plays Date July 25th, 2022 Speaker Kyle Ayisi Department Office of Undergraduate Research
cos326-2020-12-03-functors duration 25 minutes 27 seconds cos326-2020-12-03-functors cos326-2020-12-03-functors	cos326-2020-12-03-functors Ocaml Modules: Part 3: Functors cos326 matrix signature ring module elt functor function thing elements structure queue matrices element base argument result stack types alpha input From Daniel Macleod 0 likes 218 plays Date August 16th, 2020 Speaker David Walker Department COS Location Princeton NJ
Zhang, Anru "Sparse and Low-Rank Tensor… duration 30 minutes 52 seconds Zhang, Anru "Sparse and Low-Rank Tensor… Zhang, Anru "Sparse and Low-Rank Tensor Estimation via Cubic Sketchings" May 14, 2018	Zhang, Anru "Sparse and Low-Rank Tensor Estimation via Cubic Sketchings" May 14, 2018 PCTS "Bridging Mathematical Optimization, Information Theory and Data Science" pcts bridging mathematical optimization information theory and data science anru zhang captions_12_17_2020 tensor svd matrix signal rank ratio problem tensors model analysis matrices algorithm problems province lot mle thing x. power structure From Broadcast Broadcast Center Staff 0 likes 131 plays Date May 14th, 2018 Speaker Anru Zhang Department PCTS Location 407 Jadwin
Bartlett, Peter "Optimization and… duration 44 minutes 47 seconds Bartlett, Peter "Optimization and… Bartlett, Peter "Optimization and Generalization Properties of Deep Neural Networks" May 14, 2018	Bartlett, Peter "Optimization and Generalization Properties of Deep Neural Networks" May 14, 2018 PCTS "Bridging Mathematical Optimization Information Theory and Data Science" pcts peter bartlett optimization and generalization properties of deep neural networks captions_12_17_2020 identity linear function functions things networks composition gradient matrix result network step matrices depth vector criterion thing condition sort instance From Broadcast Broadcast Center Staff 0 likes 167 plays Date May 14th, 2018 Speaker Peter Bartlett Department PCTS Location 407 Jadwin