Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Shreyas, N."'
End-to-end topological learning using 1-parameter persistence is well-known. We show that the framework can be enhanced using 2-parameter persistence by adopting a recently introduced 2-parameter persistence based vectorization technique called GRIL.
Externí odkaz:
http://arxiv.org/abs/2406.07100
Mechanical systems are most often described by a set of continuous-time, nonlinear, second-order differential equations (SODEs) of a particular structure governed by the covariant derivative. The digital implementation of controllers for such systems
Externí odkaz:
http://arxiv.org/abs/2403.18422
We extend the persistence algorithm, viewed as an algorithm computing the homology of a complex of free persistence or graded modules, to complexes of modules that are not free. We replace persistence modules by their presentations and develop an eff
Externí odkaz:
http://arxiv.org/abs/2403.10958
Autor:
Hajij, Mustafa, Papillon, Mathilde, Frantzen, Florian, Agerberg, Jens, AlJabea, Ibrahem, Ballester, Rubén, Battiloro, Claudio, Bernárdez, Guillermo, Birdal, Tolga, Brent, Aiden, Chin, Peter, Escalera, Sergio, Fiorellino, Simone, Gardaa, Odin Hoff, Gopalakrishnan, Gurusankar, Govil, Devendra, Hoppe, Josef, Karri, Maneel Reddy, Khouja, Jude, Lecha, Manuel, Livesay, Neal, Meißner, Jan, Mukherjee, Soham, Nikitin, Alexander, Papamarkou, Theodore, Prílepok, Jaro, Ramamurthy, Karthikeyan Natesan, Rosen, Paul, Guzmán-Sáenz, Aldo, Salatiello, Alessandro, Samaga, Shreyas N., Scardapane, Simone, Schaub, Michael T., Scofano, Luca, Spinelli, Indro, Telyatnikov, Lev, Truong, Quang, Walters, Robin, Yang, Maosheng, Zaghen, Olga, Zamzmi, Ghada, Zia, Ali, Miolane, Nina
We introduce TopoX, a Python software suite that provides reliable and user-friendly building blocks for computing and machine learning on topological domains that extend graphs: hypergraphs, simplicial, cellular, path and combinatorial complexes. To
Externí odkaz:
http://arxiv.org/abs/2402.02441
Autor:
Papillon, Mathilde, Hajij, Mustafa, Jenne, Helen, Mathe, Johan, Myers, Audun, Papamarkou, Theodore, Birdal, Tolga, Dey, Tamal, Doster, Tim, Emerson, Tegan, Gopalakrishnan, Gurusankar, Govil, Devendra, Guzmán-Sáenz, Aldo, Kvinge, Henry, Livesay, Neal, Mukherjee, Soham, Samaga, Shreyas N., Ramamurthy, Karthikeyan Natesan, Karri, Maneel Reddy, Rosen, Paul, Sanborn, Sophia, Walters, Robin, Agerberg, Jens, Barikbin, Sadrodin, Battiloro, Claudio, Bazhenov, Gleb, Bernardez, Guillermo, Brent, Aiden, Escalera, Sergio, Fiorellino, Simone, Gavrilev, Dmitrii, Hassanin, Mohammed, Häusner, Paul, Gardaa, Odin Hoff, Khamis, Abdelwahed, Lecha, Manuel, Magai, German, Malygina, Tatiana, Ballester, Rubén, Nadimpalli, Kalyan, Nikitin, Alexander, Rabinowitz, Abraham, Salatiello, Alessandro, Scardapane, Simone, Scofano, Luca, Singh, Suraj, Sjölund, Jens, Snopov, Pavel, Spinelli, Indro, Telyatnikov, Lev, Testa, Lucia, Yang, Maosheng, Yue, Yixiao, Zaghen, Olga, Zia, Ali, Miolane, Nina
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topo
Externí odkaz:
http://arxiv.org/abs/2309.15188
$1$-parameter persistent homology, a cornerstone in Topological Data Analysis (TDA), studies the evolution of topological features such as connected components and cycles hidden in data. It has been applied to enhance the representation power of deep
Externí odkaz:
http://arxiv.org/abs/2304.04970
Autor:
Hajij, Mustafa, Zamzmi, Ghada, Papamarkou, Theodore, Miolane, Nina, Guzmán-Sáenz, Aldo, Ramamurthy, Karthikeyan Natesan, Birdal, Tolga, Dey, Tamal K., Mukherjee, Soham, Samaga, Shreyas N., Livesay, Neal, Walters, Robin, Rosen, Paul, Schaub, Michael T.
Topological deep learning is a rapidly growing field that pertains to the development of deep learning models for data supported on topological domains such as simplicial complexes, cell complexes, and hypergraphs, which generalize many domains encou
Externí odkaz:
http://arxiv.org/abs/2206.00606
Autor:
Makhija, Yukti, Bhatia, Samarth, Singh, Shalendra, Jayaswal, Sneha Kumar, Malik, Prabhat Singh, Gupta, Pallavi, Samaga, Shreyas N., Johri, Shreya, Venigalla, Sri Krishna, Hota, Rabi Narayan, Bhatia, Surinder Singh, Gupta, Ishaan
Many countries are now experiencing the third wave of the COVID-19 pandemic straining the healthcare resources with an acute shortage of hospital beds and ventilators for the critically ill patients. This situation is especially worse in India with t
Externí odkaz:
http://arxiv.org/abs/2101.07215
Publikováno v:
Journal of the Institution of Engineers (India): Series D; Dec2024, Vol. 105 Issue 3, p1427-1438, 12p
Autor:
Jayaswal, Sneha Kumar, Singh, Shalendra, Malik, Prabhat Singh, Venigalla, Sri Krishna, Gupta, Pallavi, Samaga, Shreyas N., Hota, Rabi Narayan, Bhatia, Surinder Singh, Gupta, Ishaan
Publikováno v:
In Diabetes & Metabolic Syndrome: Clinical Research & Reviews September-October 2021 15(5)