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ORCIDNarendra Patwardhan
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2020 – today
- 2024
[c5]Flora Amato, Egidia Cirillo, Mattia Fonisto, Alberto Moccardi, Vincenzo Moscato, Carlo Sansone, Stefano Marrone, Antonio Maria Rinaldi, Antonio Galli, Domenico Benfenati, Giovanni Maria De Filippis, Lidia Marassi, Narendra Patwardhan, Antonio Elia Pascarella, Cristiano Russo, Cristian Tommasino:
Advancements and Challenges in Generative AI: Architectures, Applications, and Ethical Implications. Ital-IA 2024: 77-82- 2023
- [j2]Narendra Patwardhan, Stefano Marrone
, Carlo Sansone:
Transformers in the Real World: A Survey on NLP Applications. Inf. 14(4): 242 (2023) - [j1]M. Quamer Nasim, Narendra Patwardhan, Tannistha Maiti, Stefano Marrone, Tarry Singh:
VeerNet: Using Deep Neural Networks for Curve Classification and Digitization of Raster Well-Log Images. J. Imaging 9(7): 136 (2023) - [c4]Lidia Marassi, Narendra Patwardhan, Francesco Gargiulo:
Can Justice be a measurable value for AI? Proposed evaluation of the relationship between NLP models and principles of Justice. HCAI4U@CHItaly 2023 - [c3]Narendra Patwardhan, Shreya Shetye, Lidia Marassi, Monica Zuccarini, Tannistha Maiti, Tarry Singh:
Designing Human-Centric Foundation Models. HCAI4U@CHItaly 2023 - [c2]M. Quamer Nasim, Narendra Patwardhan, Javed Ali, Tannistha Maiti, Stefano Marrone, Tarry Singh, Carlo Sansone:
Digitizer: A Synthetic Dataset for Well-Log Analysis. ICIAP Workshops (1) 2023: 97-105 - [c1]Narendra Patwardhan, Lidia Marassi, Michela Gravina, Antonio Galli, Monica Zuccarini, Tannistha Maiti, Tarry Singh, Stefano Marrone, Carlo Sansone:
Responsible and Reliable AI at PICUS Lab. Ital-IA 2023: 377-381 - 2022
- [i4]M. Quamer Nasim, Narendra Patwardhan, Tannistha Maiti, Tarry Singh:
Digitization of Raster Logs: A Deep Learning Approach. CoRR abs/2210.05597 (2022)
2010 – 2019
- 2019
- [i3]Narendra Patwardhan, Zequn Wang:
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction. CoRR abs/1905.06274 (2019) - [i2]Narendra Patwardhan, Zequn Wang:
Proximal Reliability Optimization for Reinforcement Learning. CoRR abs/1906.01127 (2019) - 2018
- [i1]Narendra Patwardhan, Madhura Ingalhalikar, Rahee Walambe:
ARiA: Utilizing Richard's Curve for Controlling the Non-monotonicity of the Activation Function in Deep Neural Nets. CoRR abs/1805.08878 (2018)
Coauthor Index
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last updated on 2024-10-09 21:32 CEST by the dblp team
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