Praneet Dutta - RankMe

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Di3PO - Diptych Diffusion DPO for Targeted Improvements in Image Generation. CoRR Sanjana Reddy, Ishaan Malhi, Sally Ma, Praneet Dutta
2025	J	`jnl`	Biologically inspired oscillating activation functions can bridge the performance gap between biological and artificial neurons. Expert Syst. Appl. Mathew Mithra Noel, Shubham Bharadwaj, Venkataraman Muthiah-Nakarajan, Praneet Dutta, Geraldine Bessie Amali
2025	J	`jnl`	Oscillating activation functions can improve the performance of convolutional neural networks. Appl. Soft Comput. Mathew Mithra Noel, Arunkumar L, Advait Trivedi, Praneet Dutta
2025	J	`jnl`	Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models. CoRR Ishaan Malhi, Praneet Dutta, Ellie Talius, Sally Ma, Brendan Driscoll, Krista Holden, Garima Pruthi, Arunachalam Narayanaswamy
2024	J	`jnl`	Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model. CoRR Dhruv Suri, Praneet Dutta, Flora Xue, Ines Azevedo, Ravi Jain
2022	J	`jnl`	Controlling Commercial Cooling Systems Using Reinforcement Learning. CoRR Jerry Luo, Cosmin Paduraru, Octavian Voicu, Yuri Chervonyi, Scott Munns, Jerry Li, Crystal Qian, Praneet Dutta, Jared Quincy Davis, Ningjia Wu, Xingwei Yang, Chu-Ming Chang, Ted Li, Rob Rose, Mingyan Fan, Hootan Nakhost, Tinglin Liu, Brian Kirkman, Frank Altamura, Lee Cline, Patrick Tonker, Joel Gouker, Dave Uden, Warren Buddy Bryan, Jason Law, Deeni Fatiha, Neil Satra, Juliet Rothenberg, Molly Carlin, Satish Tallapaka, Sims Witherspoon, David Parish, Peter Dolan, Chenyu Zhao, Daniel J. Mankowitz
2022	J	`jnl`	Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning. CoRR William Wong, Praneet Dutta, Octavian Voicu, Yuri Chervonyi, Cosmin Paduraru, Jerry Luo
2022	J	`jnl`	Semi-analytical Industrial Cooling System Model for Reinforcement Learning. CoRR Yuri Chervonyi, Praneet Dutta, Piotr Trochim, Octavian Voicu, Cosmin Paduraru, Crystal Qian, Emre Karagozler, Jared Quincy Davis, Richard Chippendale, Gautam Bajaj, Sims Witherspoon, Jerry Luo
2021	J	`jnl`	Biologically Inspired Oscillating Activation Functions Can Bridge the Performance Gap between Biological and Artificial Neurons. CoRR Matthew Mithra Noel, Shubham Bharadwaj, Venkataraman Muthiah-Nakarajan, Praneet Dutta, Geraldine Bessie Amali
2021	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2021	J	`jnl`	Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks. CoRR Mathew Mithra Noel, Arunkumar L, Advait Trivedi, Praneet Dutta
2020	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. CoRR Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2019	J	`jnl`	3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement. CoRR Praneet Dutta, Bruce Power, Adam Halpert, Carlos Ezequiel, Aravind Subramanian, Chanchal Chatterjee, Sindhu Hari, Kenton Prindle, Vishal Vaddina, Andrew Leach, Raj Domala, Laura Bandura, Massimo Mascaro
2019	J	`jnl`	AutoML for Contextual Bandits. CoRR Praneet Dutta, Man Kit Cheuk, Jonathan S. Kim, Massimo Mascaro