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Publication search results
found 209 matches
- 2024
- Asrin Vakili, Hamza Mohammed Ridha Al-Khafaji, Mehdi Darbandi, Arash Heidari, Nima Jafari Navimipour, Mehmet Unal:
A new service composition method in the cloud-based Internet of things environment using a grey wolf optimization algorithm and MapReduce framework. Concurr. Comput. Pract. Exp. 36(16) (2024) - Jocelyn Dunstan, Thomas Vakili, Luis Miranda, Fabián Villena, Claudio Aracena, Tamara Quiroga, Paulina Vera, Sebastián Viteri Valenzuela, Victor Rocco:
A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish. BMC Medical Informatics Decis. Mak. 24(4): 204 (2024) - Davide Scazzoli, Fardad Vakilipoor, Maurizio Magarini:
Molecular communication data augmentation and deep learning based detection. Nano Commun. Networks 40: 100510 (2024) - Claudio Aracena, Luis Miranda, Thomas Vakili, Fabián Villena, Tamara Quiroga, Fredy Núñez-Torres, Victor Rocco, Jocelyn Dunstan:
A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks. ClinicalNLP@NAACL 2024: 111-121 - Adela Frances DePavia, Erasmo Tani, Ali Vakilian:
Learning-Based Algorithms for Graph Searching Problems. AISTATS 2024: 928-936 - Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek:
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers. ICML 2024 - Sattar Vakili, Farhang Nabiei, Da-shan Shiu, Alberto Bernacchia:
Reward-Free Kernel-Based Reinforcement Learning. ICML 2024 - Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets:
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? ICRA 2024: 17515-17521 - Reduan Achtibat, Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Aakriti Jain, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek:
AttnLRP: Attention-Aware Layer-wise Relevance Propagation for Transformers. CoRR abs/2402.05602 (2024) - Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam, Dmitry Bezrukov, Daniel Varoli, Alex Aliper, Daniil Polykovskiy, Krishna M. Padmanabha Das, Jamie Snider, Anna Lyakisheva, Ardalan Hosseini Mansob, Zhong Yao, Lela Bitar, Eugene Radchenko, Xiao Ding, Jinxin Liu, Fanye Meng, Feng Ren, Yudong Cao, Igor Stagljar, Alán Aspuru-Guzik, Alex Zhavoronkov:
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS. CoRR abs/2402.08210 (2024) - Adela Frances DePavia, Erasmo Tani, Ali Vakilian:
Learning-Based Algorithms for Graph Searching Problems. CoRR abs/2402.17736 (2024) - MohammadAmin Vakilifard, Tim Due, Mohamed Rihan, Maik Röper, Dirk Wübben, Carsten Bockelmann, Armin Dekorsy:
Throughput Requirements for RAN Functional Splits in 3D-Networks. CoRR abs/2405.15432 (2024) - Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2407.06939 (2024) - Sayed Mohammad Vakilzadeh Hatefi, Maximilian Dreyer, Reduan Achtibat, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers. CoRR abs/2408.12568 (2024) - 2023
- Nasser Hashemi, Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sandor Vajda, Dima Kozakov:
Improved prediction of MHC-peptide binding using protein language models. Frontiers Bioinform. 3 (2023) - Abolghasem Afshar, Vahid Tabataba Vakili, Sajad Daei:
A novel blind spatial-based random access to pilots (BSB-RAP) in overloaded massive MIMO systems. Phys. Commun. 57: 101999 (2023) - William David Paredes, Hemani Kaushal, Iman Vakilinia, Zornitza Genova Prodanoff:
LoRa Technology in Flying Ad Hoc Networks: A Survey of Challenges and Open Issues. Sensors 23(5): 2403 (2023) - Joseph Poremba, Nancy A. Day, Amirhossein Vakili:
New Techniques for Static Symmetry Breaking in Many-Sorted Finite Model Finding. IEEE Trans. Software Eng. 49(6): 3487-3503 (2023) - Dietmar P. F. Möller, Hamid Vakilzadian:
Cybersecurity Risk in Digitalization of Infrastructure Systems: A Use Case. eIT 2023: 116-121 - Dietmar P. F. Möller, Hamid Vakilzadian:
Cybersecurity Awareness Training: A Use Case Model. eIT 2023: 242-247 - Pramesh Gautam, MohammadAmin Vakilifard, Carsten Bockelmann, Armin Dekorsy:
Cooperative Interference Estimation Using LSTM-Based Federated Learning for In-X Subnetworks. GLOBECOM 2023: 1338-1344 - Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu:
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. GLOBECOM 2023: 4779-4784 - Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David P. Woodruff:
Learning the Positions in CountSketch. ICLR 2023 - Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia:
Image generation with shortest path diffusion. ICML 2023: 7009-7024 - Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke:
Delayed Feedback in Kernel Bandits. ICML 2023: 34779-34792 - Sattar Vakili, Michael Bromberg, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia:
Information Gain and Uniform Generalization Bounds for Neural Kernel Models. ISIT 2023: 555-560 - Dario Tagliaferri, Marouan Mizmizi, Fardad Vakilipoor, Maurizio Magarini, Prabhat Kumar Upadhyay, Stefano Bregni:
Distance Estimation Based on Impulse Response Distortion in Diffusive Molecular Communication. LATINCOM 2023: 1-6 - Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Tingfan Wu, Jay Vakil, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier:
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? NeurIPS 2023 - Thomas Vakili, Hercules Dalianis:
Using Membership Inference Attacks to Evaluate Privacy-Preserving Language Modeling Fails for Pseudonymizing Data. NoDaLiDa 2023: 318-323 - Yusheng Bian, Takako Hirokawa, Vaishnavi Karra, Arpan Dasgupta, Won Suk Lee, Abdelsalam Aboketaf, Francis Afzal, Ryan Sporer, Karen Nummy, Ken Giewont, Nickolas C. Harris, Reza Baghdadi, Shashank Gupta, Keith Donegan, Thomas Houghton, Brian Popielarski, Kevin K. Dezfulian, Petar Ivanov Todorov, Bo Peng, Sujith Chandran, Mohamed Gheith, Ian Stobert, Mini Modh Ghosal, Jae Kyu Cho, Apoorva Vakil, Sunoo Kim, Zhuo-Jie Wu, Andy Stricker, Kate McLean, Benjamin V. Fasano, Michal Rakowski, Qidi Liu, Matt Rauer, Ryan Gallagher, Ranjani Sirdeshmukh, Norman Robson, Ian Melville, Rod Augur, Jae Gon Lee, Wenhe Lin, George Gifford, Robert Fox, Vikas Gupta, Anthony Yu, John Pellerin, Ted Letavic:
Monolithically integrated self-aligned SiN edge coupler with 520 mW high-power handling capability. OFC 2023: 1-3
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