Evolving player-specific content for level based arcade games. - Sanjeev Satheesh; Harikrishna Narasimhan; Pramala Senthil (FDG, 2009)

A Randomized Iterative Improvement Algorithm for Photomosaic Generation. - Harikrishna Narasimhan; Sanjeev Satheesh (NaBIC, 2009)

Automatic summarization of cricket video events using genetic algorithm. - Harikrishna Narasimhan; Sanjeev Satheesh; Dinesh Sriram (GECCO (Companion), 2010)

Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning. - Adam Coates 002; Blake Carpenter; Carl Case; Sanjeev Satheesh; Bipin Suresh; Tao Wang; David J. Wu 001; Andrew Y. Ng (ICDAR, 2011)

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. - Jia Deng 001; Sanjeev Satheesh; Alexander C. Berg; Li Fei-Fei 001 (NIPS, 2011)

Deep Speech: Scaling up end-to-end speech recognition. - Awni Y. Hannun; Carl Case; Jared Casper; Bryan Catanzaro; Greg Diamos; Erich Elsen; Ryan Prenger; Sanjeev Satheesh; Shubho Sengupta; Adam Coates 002; Andrew Y. Ng (CoRR, 2014)

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Rishita Anubhai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

ImageNet Large Scale Visual Recognition Challenge. - Olga Russakovsky; Jia Deng 001; Hao Su 001; Jonathan Krause; Sanjeev Satheesh; Sean Ma; Zhiheng Huang; Andrej Karpathy; Aditya Khosla; Michael S. Bernstein; Alexander C. Berg; Li Fei-Fei 001 (Int. J. Comput. Vis., 2015)

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. - Dario Amodei; Sundaram Ananthanarayanan; Rishita Anubhai; Jingliang Bai; Eric Battenberg; Carl Case; Jared Casper; Bryan Catanzaro; Jingdong Chen; Mike Chrzanowski; Adam Coates 002; Greg Diamos; et al. (ICML, 2016)

Persistent RNNs: Stashing Recurrent Weights On-Chip. - Greg Diamos; Shubho Sengupta; Bryan Catanzaro; Mike Chrzanowski; Adam Coates 002; Erich Elsen; Jesse H. Engel; Awni Y. Hannun; Sanjeev Satheesh (ICML, 2016)

Active Learning for Speech Recognition: the Power of Gradients. - Jiaji Huang; Rewon Child; Vinay Rao; Hairong Liu; Sanjeev Satheesh; Adam Coates 002 (CoRR, 2016)

Exploring neural transducers for end-to-end speech recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; Anuroop Sriram; Zhenyao Zhu (ASRU, 2017)

Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling. - Hairong Liu; Zhenyao Zhu; Xiangang Li; Sanjeev Satheesh (ICML, 2017)

Exploring Neural Transducers for End-to-End Speech Recognition. - Eric Battenberg; Jitong Chen; Rewon Child; Adam Coates 002; Yashesh Gaur; Yi Li; Hairong Liu; Sanjeev Satheesh; David Seetapun; Anuroop Sriram; Zhenyao Zhu (CoRR, 2017)

Reducing Bias in Production Speech Models. - Eric Battenberg; Rewon Child; Adam Coates 002; Christopher Fougner; Yashesh Gaur; Jiaji Huang; Heewoo Jun; Ajay Kannan; Markus Kliegl; Atul Kumar; Hairong Liu; Vinay Rao; et al. (CoRR, 2017)

Topic Compositional Neural Language Model. - Wenlin Wang; Zhe Gan; Wenqi Wang 001; Dinghan Shen; Jiaji Huang; Wei Ping; Sanjeev Satheesh; Lawrence Carin (AISTATS, 2018)

Robust Speech Recognition Using Generative Adversarial Networks. - Anuroop Sriram; Heewoo Jun; Yashesh Gaur; Sanjeev Satheesh (ICASSP, 2018)

Cold Fusion: Training Seq2Seq Models Together with Language Models. - Anuroop Sriram; Heewoo Jun; Sanjeev Satheesh; Adam Coates 002 (INTERSPEECH, 2018)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models. - Jupinder Parmar; Sanjeev Satheesh; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs. - Syeda Nahida Akter; Shrimai Prabhumoye; John Kamalu; Sanjeev Satheesh; Eric Nyberg; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (ICLR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset. - Rabeeh Karimi Mahabadi; Sanjeev Satheesh; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2025)