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Amit Garg
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2020 – today
- 2024
- [i5]Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou:
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR abs/2404.14219 (2024) - [i4]Emman Haider, Daniel Perez-Becker, Thomas Portet, Piyush Madan, Amit Garg, David Majercak, Wen Wen, Dongwoo Kim, Ziyi Yang, Jianwen Zhang, Hiteshi Sharma, Blake Bullwinkel, Martin Pouliot, Amanda J. Minnich, Shiven Chawla, Solianna Herrera, Shahed Warreth, Maggie Engler, Gary Lopez, Nina Chikanov, Raja Sekhar Rao Dheekonda, Bolor-Erdene Jagdagdorj, Roman Lutz, Richard Lundeen, Tori Westerhoff, Pete Bryan, Christian Seifert, Ram Shankar Siva Kumar, Andrew Berkley, Alex Kessler:
Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle. CoRR abs/2407.13833 (2024) - 2023
- [c16]Logeshwaran Jaganathan, Saurabh Singhal, Amit Garg:
MultiResolution 3D Magnetic Resonance Imaging Analysis for Prostate Cancer Imaging. ICIMMI 2023: 24:1-24:6 - [c15]Logeshwaran Jaganathan, S. Dhanasekaran, Praveen Kantha, Amit Garg:
Exploring InterferenceAware Spectrum Allocation in 6G Cellular Networks using dynamic resource Sharing Algorithm. ICIMMI 2023: 25:1-25:7 - [c14]Jaganathan Logeshwaran, Thiyagarajan N, Manoj Kumar Mahto, Amit Garg:
Clinical Resource Management with AI/ML-Driven Automated Diagnostics in Smart Healthcare. ICIMMI 2023: 173:1-173:6 - 2022
- [i3]Bulbul Ahmed, Md Kawser Bepary, Nitin Pundir, Mike Borza, Oleg Raikhman, Amit Garg, Dale R. Donchin, Adam Cron, Mohamed Abdel-Moneum, Farimah Farahmandi, Fahim Rahman, Mark M. Tehranipoor:
Quantifiable Assurance: From IPs to Platforms. CoRR abs/2204.07909 (2022) - 2021
- [c13]Amit Garg, Nima Karimian:
ECG Biometric Spoofing Using Adversarial Machine Learning. ICCE 2021: 1-5 - [c12]Amit Garg, Nima Karimian:
Leveraging Deep CNN and Transfer Learning for Side-Channel Attack. ISQED 2021: 91-96 - [i2]Bulbul Ahmed, Md Kawser Bepary, Nitin Pundir, Mike Borza, Oleg Raikhman, Amit Garg, Dale R. Donchin, Adam Cron, Mohamed A. Abdelmoneum, Farimah Farahmandi, Fahim Rahman, Mark M. Tehranipoor:
Quantifiable Assurance: From IPs to Platforms. IACR Cryptol. ePrint Arch. 2021: 1654 (2021) - 2020
- [j1]Amit Garg, Vineet Khandelwal:
Segmentation-based MAP despeckling of medical ultrasound images in shearlet domain based on normal inverse Gaussian distribution. IET Image Process. 14(4): 736-746 (2020) - [c11]Amit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, Femi G. Olumofin:
An evaluation of machine learning methods for domain name classification. IEEE BigData 2020: 4577-4585
2010 – 2019
- 2017
- [c10]Amit Garg, Suvra Shekhar Das:
Design of troposcatter broadband link based on SCFDE. ANTS 2017: 1-6 - [c9]Amit Garg, Joshua A. Fisher, Wesley Wang, Karan Pratap Singh:
ARES: An Application of Impossible Spaces for Natural Locomotion in VR. CHI Extended Abstracts 2017: 218-221 - [c8]Joshua A. Fisher, Amit Garg, Karan Pratap Singh, Wesley Wang:
Designing intentional impossible spaces in virtual reality narratives: A case study. VR 2017: 379-380 - [c7]Joshua A. Fisher, Amit Garg, Wesley Wang, Karan Pratap Singh:
Bauhaus scenography for virtual environments. VSMM 2017: 1-4 - 2015
- [i1]Amit Garg, Jonathan Noyola, Romil Verma, Ashutosh Saxena, Aditya Jami:
Exploring Correlation between Labels to improve Multi-Label Classification. CoRR abs/1511.07953 (2015)
2000 – 2009
- 2007
- [c6]Peter Osadsky, Amit Garg, Bogdan Nitu, Oliver Schneider, Stefan Schleyer:
Improving Service Operation Performance by a Cross-Industry Reference Model. APMS 2007: 397-404 - 2006
- [c5]Amit Garg, Gerhard Gudergaan:
Need to Develop Best Practices for Business Related Services (BRS). APMS 2006: 475-483 - 2004
- [c4]André Quadt, Heiko Dirlenbach, Amit Garg, Martin Weidemann, Volker Stich:
Knowledge Based Virtual Communities for Mobile and Collaborative Work in European Vehicle Repair Networks. Virtual Enterprises and Collaborative Networks 2004: 349-358 - 2003
- [c3]Philipp Schiegg, António Lucas Soares, Amit Garg, Robert Roesgen, Volker Stich:
Configuring Consumer-Demand Driven Supply Networks. PRO-VE 2003: 475-482 - [c2]Philipp Schiegg, Amit Garg, Robert Roesgen, César Toscano, João José Pinto Ferreira, Ricardo J. Rabelo, Alexandra A. Pereira Klen:
Configuring Consumer-Demand Driven Supply Networks - in Made-to-Fit Fashion Sector. MCPC 2003: 88:1-88:21 - 2002
- [c1]Young-ri Choi, Amit Garg, Siddhartha Rai, Jayadev Misra, Harrick M. Vin:
Orchestrating Computations on the World-Wide Web. Euro-Par 2002: 1-20
Coauthor Index
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last updated on 2024-11-11 21:23 CET by the dblp team
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