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Publication search results
found 68 matches
- 2024
- Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran:
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. COMAD/CODS 2024: 430-438 - Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.:
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR abs/2403.05530 (2024) - Shreyas Chaudhari, Srinivasa Pranav, Emile Anand, José M. F. Moura:
Peer-to-Peer Learning Dynamics of Wide Neural Networks. CoRR abs/2409.15267 (2024) - 2023
- Pallov Anand, Pranav Niturkar, A. Pedro Aguiar, Rajat Agarwal, Manav Mishra, P. B. Sujit:
Finite-Time Standoff Target Tracking in the Presence of Wind. ECMR 2023: 1-6 - Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - B. E. Pranav Kumaar, Aadharsh Aadhithya A, S. Sachin Kumar, Harishchander Anandaram, K. P. Soman:
Optimal Perfect Phylogeny Using ILP and Continuous Approximations. ICACDS 2023: 122-135 - Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - Pranav S. Page, Anand S. Siyote, Vivek S. Borkar, Gaurav S. Kasbekar:
Node Cardinality Estimation in the Internet of Things Using Privileged Feature Distillation. CoRR abs/2310.18664 (2023) - Thakur Pranav G. Singh, Utkarsh Anand, Tanvi Agrawal, Srinivas G:
Design and Analysis of a Novel Radial Deployment Mechanism of Payloads in Sounding Rockets. CoRR abs/2310.19673 (2023) - Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Harshad Khadilkar, Hardik Meisheri, Balaraman Ravindran:
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce. CoRR abs/2311.16171 (2023) - 2022
- Pranav Prabha, Sreejith Sasidharan, Devasena Pasupuleti, Anand M. Das, Gayathri Manikutty, Rajesh Sharma:
A Minimalist Social Robot Platform for Promoting Positive Behavior Change Among Children. SIGGRAPH Educator's Forum 2022: 3:1-3:2 - Sreejith Sasidharan, Pranav Prabha, Devasena Pasupuleti, Anand M. Das, Chaitanya Kapoor, Gayathri Manikutty, Praveen Pankajakshan, Bhavani Rao:
Handwashing Action Detection System for an Autonomous Social Robot. CoRR abs/2210.15804 (2022) - 2021
- Michael Ko, Emma Chen, Ashwin Agrawal, Pranav Rajpurkar, Anand Avati, Andrew Yan-Tak Ng, Sanjay Basu, Nigam H. Shah:
Improving hospital readmission prediction using individualized utility analysis. J. Biomed. Informatics 119: 103826 (2021) - Shivshankar Reddy, Pranav Poduval, Anand Vir Singh Chauhan, Maneet Singh, Sangam Verma, Karamjit Singh, Tanmoy Bhowmik:
TeGraF: temporal and graph based fraudulent transaction detection framework. ICAIF 2021: 18:1-18:8 - Pranav Surendran, B. Navyasree, Harshitha Kambham, M. Anand Kumar:
Covid-19 Fake News Detector using Hybrid Convolutional and Bi-LSTM Model. ICCCNT 2021: 1-6 - P. Pranav Anand, Pradyumna Parshi, Vishesh Jain, Swastik Bhattacharya, Arnab Mukhopadhyay, Sayan Kanungo:
A First Principle Based Investigation on the Effects of Stacking Configuration and Biaxial Strain on the Electronic Properties of Bilayer MoS2. ISDCS 2021: 1-5 - Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. CoRR abs/2101.01546 (2021) - David A. Forsyth, Anand Bhattad, Pranav Asthana, Yuanyi Zhong, Yu-Xiong Wang:
SIRfyN: Single Image Relighting from your Neighbors. CoRR abs/2112.04497 (2021) - 2020
- Peeyush Sahay, Izaz Ahamed Shaik Rasheed, Pranav Kulkarni, Shubham Anand Jain, Ameya Anjarlekar, P. Radhakrishna, Vikram M. Gadre:
Generalized Fractional Ambiguity Function and Its Applications. Circuits Syst. Signal Process. 39(10): 4980-5019 (2020) - Jothi V. Pranav, Raju Anand, T. Shanthi, K. Manju, S. Veni, S. Nagarjun:
Detection and identification of COVID -19 based on chest medical image by using convolutional neural networks. Int. J. Intell. Networks 1: 112-118 (2020) - Rukhmini Roy, Pranavesh Banerjee, Ananda S. Chowdhury:
A Level Set Based Unified Framework for Pulmonary Nodule Segmentation. IEEE Signal Process. Lett. 27: 1465-1469 (2020) - Gabe Fierro, Marco Pritoni, Moustafa AbdelBaky, Daniel Lengyel, John Leyden, Anand Prakash, Pranav Gupta, Paul Raftery, Therese Peffer, Greg Thomson, David E. Culler:
Mortar: An Open Testbed for Portable Building Analytics. ACM Trans. Sens. Networks 16(1): 7:1-7:31 (2020) - Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi:
Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. BrainLes@MICCAI (2) 2020: 310-319 - Adithya Prem Anand, Gokul H, Harish Srinivasan, Pranav Vijay, Vineeth Vijayaraghavan:
Adversarial Patch Defense for Optical Flow Networks in Video Action Recognition. ICMLA 2020: 1289-1296 - Hrushikesh Loya, Pranav Poduval, Deepak Anand, Neeraj Kumar, Amit Sethi:
Uncertainty Estimation in Cancer Survival Prediction. CoRR abs/2003.08573 (2020) - Akshay Khatri, Pranav P, Anand Kumar M:
Sarcasm Detection in Tweets with BERT and GloVe Embeddings. CoRR abs/2006.11512 (2020) - Hongwei Zhou, Oskar Elek, Pranav Anand, Angus G. Forbes:
Bio-inspired Structure Identification in Language Embeddings. CoRR abs/2009.02459 (2020) - 2019
- Geetanjali Rakshit, JiaQi Wu, Ryan Compton, Marilyn A. Walker, Pranav Anand, Steve Whittaker:
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness. AffCon@AAAI 2019: 129-139 - JiaQi Wu, Ryan Compton, Geetanjali Rakshit, Marilyn A. Walker, Pranav Anand, Steve Whittaker:
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness. CoRR abs/1902.06024 (2019)
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