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Publication search results
found 30 matches
- 2024
- Piyushi Manupriya, Saketha Nath Jagarlapudi, Pratik Jawanpuria:
MMD-Regularized Unbalanced Optimal Transport. Trans. Mach. Learn. Res. 2024 (2024) - Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular framework for structured-sparse optimal transport. ICML 2024 - Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy, Saketha Nath Jagarlapudi, Bamdev Mishra:
Submodular Framework for Structured-Sparse Optimal Transport. CoRR abs/2406.04914 (2024) - 2023
- Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren:
ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR abs/2311.00176 (2023) - 2022
- Enis Afgan, Anton Nekrutenko, Björn A. Grüning, Daniel J. Blankenberg, Jeremy Goecks, Michael C. Schatz, Alexander E. Ostrovsky, Alexandru Mahmoud, Andrew J. Lonie, Anna Syme, Anne Fouilloux, Anthony Bretaudeau, Anup Kumar, Arthur C. Eschenlauer, Assunta D. Desanto, Aysam Guerler, Beatriz Serrano-Solano, Bérénice Batut, Bradley W. Langhorst, Bridget Carr, Bryan A. Raubenolt, Cameron J. Hyde, Catherine J. Bromhead, Christopher B. Barnett, Coline Royaux, Cristóbal Gallardo, Daniel J. Fornika, Dannon Baker, Dave Bouvier, Dave Clements, David A. de Lima Morais, David Lopez Tabernero, Delphine Larivière, Engy Nasr, Federico Zambelli, Florian Heyl, Fotis E. Psomopoulos, Frederik Coppens, Gareth R. Price, Gianmauro Cuccuru, Gildas Le Corguillé, Gregory Von Kuster, Gulsum Gudukbay, Helena Rasche, Hans-Rudolf Hotz, Ignacio Eguinoa, Igor V. Makunin, Isuru Ranawaka, James Taylor, Jayadev Joshi, Jennifer Hillman-Jackson, John Chilton, Kaivan Kamali, Keith Suderman, Krzysztof Poterlowicz, Yvan Le Bras, Lucille Lopez-Delisle, Luke Sargent, Madeline E. Bassetti, Marco Antonio Tangaro, Marius van den Beek, Martin Cech, Matthias Bernt, Matthias Fahrner, Mehmet Tekman, Melanie Christine Föll, Michael R. Crusoe, Miguel Roncoroni, Natalie Kucher, Nate Coraor, Nicholas Stoler, Nick Rhodes, Nicola Soranzo, Niko Pinter, Nuwan Goonasekera, Pablo A. Moreno, Pavankumar Videm, Petera Melanie, Pietro Mandreoli, Pratik D. Jagtap, Qiang Gu, Ralf J. M. Weber, Ross Lazarus, Ruben H. P. Vorderman, Saskia D. Hiltemann, Sergey Golitsynskiy, Shilpa Garg, Simon A. Bray, Simon L. Gladman, Simone Leo, Subina P. Mehta, Timothy J. Griffin, Vahid Jalili, Yves Vandenbrouck, Victor Wen, Vijay K. Nagampalli, Wendi A. Bacon, Willem L. De Koning, Wolfgang Maier, Peter J. Briggs:
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. Nucleic Acids Res. 50(W1): 345-351 (2022) - Pritthijit Nath, Biparnak Roy, Pratik Saha, Asif Iqbal Middya, Sarbani Roy:
Hybrid learning model for spatio-temporal forecasting of PM2.5 using aerosol optical depth. Neural Comput. Appl. 34(23): 21367-21386 (2022) - Pratik Saha, Pritthijit Nath, Asif Iqbal Middya, Sarbani Roy:
Improving temporal predictions through time-series labeling using matrix profile and motifs. Neural Comput. Appl. 34(16): 13169-13185 (2022) - Veena Dwivedi, Pratik Nath:
A neurophysiological investigation of noisy channel sentences. CogSci 2022 - Kashi Nath Datta, Aritra Roy, Pratik Chakraborty, Sujoy Saha:
Channel modelling of VVLC system. COMSNETS 2022: 304-308 - 2021
- Pritthijit Nath, Pratik Saha, Asif Iqbal Middya, Sarbani Roy:
Long-term time-series pollution forecast using statistical and deep learning methods. Neural Comput. Appl. 33(19): 12551-12570 (2021) - 2020
- Matej Vitek, Abhijit Das, Y. Pourcenoux, A. Missler, C. Paumier, Sumanta Das, Ishita De Ghosh, Diego Rafael Lucio, Luiz A. Zanlorensi, David Menotti, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, J. Hu, Y. He, Caiyong Wang, H. Liu, Yunlong Wang, Zhenan Sun, Dailé Osorio Roig, Christian Rathgeb, Christoph Busch, Juan E. Tapia, Andres Valenzuela, Georgios Zampoukis, Lazaros T. Tsochatzidis, Ioannis Pratikakis, S. Nathan, R. Suganya, Vineet Mehta, Abhinav Dhall, Kiran B. Raja, Gourav Gupta, Jalil Nourmohammadi-Khiarak, M. Akbari-Shahper, Farhang Jaryani, Meysam Asgari-Chenaghlu, R. Vyas, S. Dakshit, Peter Peer, Umapada Pal, Vitomir Struc:
SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment. IJCB 2020: 1-10 - Jagarlapudi Saketha Nath, Pratik Kumar Jawanpuria:
Statistical Optimal Transport posed as Learning Kernel Embedding. NeurIPS 2020 - J. Saketha Nath, Pratik Jawanpuria:
Statistical Optimal Transport posed as Learning Kernel Embedding. CoRR abs/2002.03179 (2020) - 2019
- Pratik Roy, Ghanshaym Singha Mahapatra, Kashi Nath Dey:
Forecasting of software reliability using neighborhood fuzzy particle swarm optimization based novel neural network. IEEE CAA J. Autom. Sinica 6(6): 1365-1383 (2019) - Günter Mühlberger, Louise Seaward, Melissa Terras, Sofia Ares Oliveira, Vicente Bosch, Maximilian Bryan, Sebastian Colutto, Hervé Déjean, Markus Diem, Stefan Fiel, Basilis Gatos, Albert Greinoecker, Tobias Grüning, Günter Hackl, Vili Haukkovaara, Gerhard Heyer, Lauri Hirvonen, Tobias Hodel, Matti Jokinen, Philip Kahle, Mario Kallio, Frédéric Kaplan, Florian Kleber, Roger Labahn, Eva Maria Lang, Sören Laube, Gundram Leifert, Georgios Louloudis, Rory McNicholl, Jean-Luc Meunier, Johannes Michael, Elena Mühlbauer, Nathanael Philipp, Ioannis Pratikakis, Joan Puigcerver Pérez, Hannelore Putz, George Retsinas, Verónica Romero, Robert Sablatnig, Joan-Andreu Sánchez, Philip Schofield, Giorgos Sfikas, Christian Sieber, Nikolaos Stamatopoulos, Tobias Strauß, Tamara Terbul, Alejandro H. Toselli, Berthold Ulreich, Mauricio Villegas, Enrique Vidal, Johanna Walcher, Max Weidemann, Herbert Wurster, Konstantinos Zagoris:
Transforming scholarship in the archives through handwritten text recognition. J. Documentation 75(5): 954-976 (2019) - Ruoming Pang, Ramón Cáceres, Mike Burrows, Zhifeng Chen, Pratik Dave, Nathan Germer, Alexander Golynski, Kevin Graney, Nina Kang, Lea Kissner, Jeffrey L. Korn, Abhishek Parmar, Christopher D. Richards, Mengzhi Wang:
Zanzibar: Google's Consistent, Global Authorization System. USENIX ATC 2019: 33-46 - 2018
- Rahul Agrawal, Pratik Verma, Rahul Sonanis, Umang Goel, Aloknath De, Sai Anirudh-Kondaveeti, Suman Shekhar:
Continuous Security in IoT Using Blockchain. ICASSP 2018: 6423-6427 - Perikumar Javia, Aman Rana, Nathan Shapiro, Pratik Shah:
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-septic Patients. ICMLA 2018: 607-611 - Perikumar Javia, Aman Rana, Nathan Shapiro, Pratik Shah:
Machine Learning Algorithms for Classification of Microcirculation Images from Septic and Non-Septic Patients. CoRR abs/1811.02659 (2018) - 2015
- Pratik Roy, G. S. Mahapatra, Kashi Nath Dey:
Neuro-genetic approach on logistic model based software reliability prediction. Expert Syst. Appl. 42(10): 4709-4718 (2015) - Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Generalized hierarchical kernel learning. J. Mach. Learn. Res. 16: 617-652 (2015) - 2014
- Pratik Roy, G. S. Mahapatra, Pooja Rani, S. K. Pandey, Kashi Nath Dey:
Robust feedforward and recurrent neural network based dynamic weighted combination models for software reliability prediction. Appl. Soft Comput. 22: 629-637 (2014) - Pratik Jawanpuria, Manik Varma, J. Saketha Nath:
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection. ICML 2014: 118-126 - 2013
- Antonio Sabatini, Nathan Jarus, Pratik Maheshwari, Sahra Sedigh:
Software instrumentation for failure analysis of USB host controllers. I2MTC 2013: 1109-1114 - 2012
- Pratik Jawanpuria, J. Saketha Nath:
A Convex Feature Learning Formulation for Latent Task Structure Discovery. ICML 2012 - Pratik Jawanpuria, J. Saketha Nath:
A Convex Feature Learning Formulation for Latent Task Structure Discovery. CoRR abs/1206.4611 (2012) - 2011
- Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan:
Efficient Rule Ensemble Learning using Hierarchical Kernels. ICML 2011: 161-168 - Pratik Jawanpuria, Jagarlapudi Saketha Nath:
Multi-task Multiple Kernel Learning. SDM 2011: 828-838 - 2010
- Waylon Brunette, Wayne Gerard, Matthew Hicks, Alexis Hope, Mitchell Ishimitsu, Pratik Prasad, Ruth E. Anderson, Gaetano Borriello, Beth E. Kolko, Robert Nathan:
Portable antenatal ultrasound platform for village midwives. ACM DEV 2010: 23 - 2006
- Nathan Schurr, Pratik Patil, Frédéric H. Pighin, Milind Tambe:
Using multiagent teams to improve the training of incident commanders. AAMAS 2006: 1490-1497
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