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Publication search results
found 12 matches
- 2023
- Ali Khakifirooz, Eduardo Anaya, Sriram Balasubrahrmanyam, Geoff Bennett, Daniel Castro, John Egler, Kuangchan Fan, Rifat Ferdous, Kartik Ganapathi, Omar Guzman, Chang-Wan Ha, Rezaul Haque, Vinaya Harish, Majid Jalalifar, Owen Jungroth, Sung-Taeg Kang, Golnaz Karbasian, Jee-Yeon Kim, Siyue Li, Aliasgar S. Madraswala, Srivijay Maddukuri, Amr Mohammed, Shanmathi Mookiah, Shashi Nagabhushan, Binh Ngo, Deep Patel, Sai Kumar Poosarla, Naveen Prabhu V, Carlos Quiroga, Shantanu Rajwade, Ahsanur Rahman, Jalpa Shah, Rohit S. Shenoy, Ebenezer Tachie-Menson, Archana Tankasala, Sandeep Krishna Thirumala, Sagar Upadhyay, Krishnasree Upadhyayula, Ashley Velasco, Nanda Kishore Babu Vemula, Bhaskar Venkataramaiah, Jiantao Zhou, Bharat Pathak, Pranav Kalavade:
A 1.67Tb, 5b/Cell Flash Memory Fabricated in 192-Layer Floating Gate 3D-NAND Technology and Featuring a 23.3Gb/mm2 Bit Density. ISSCC 2023: 400-401 - Kastan Day, Daniel Christl, Rohan Salvi, Pranav Sriram:
Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts. CoRR abs/2304.10505 (2023) - Samuel J. Aronson, Kalotina Machini, Pranav Sriraman, Jiyeon Shin, Emma R. Henricks, Charlotte Mailly, Angie J. Nottage, Michael Oates, Matthew S. Lebo:
Using GPT-4 Prompts to Determine Whether Articles Contain Functional Evidence Supporting or Refuting Variant Pathogenicity. CoRR abs/2312.13521 (2023) - 2022
- Pratham N. Soni, Siyu Shi, Pranav R. Sriram, Andrew Y. Ng, Pranav Rajpurkar:
Contrastive learning of heart and lung sounds for label-efficient diagnosis. Patterns 3(1): 100400 (2022) - Abhiram Tirumala, Rishi Bhatnager, Sriram Mudireddy, Pranav Manjunath, Jason Zutty:
Designing a novel and high performance algorithmic trading model using evolutionary AutoML and technical analysis. GECCO Companion 2022: 312-315 - Aamir Hasan, Pranav Sriram, Katherine Rose Driggs-Campbell:
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. ICRA 2022: 617-624 - Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Driggs Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. ITSC 2022: 32-39 - Aamir Hasan, Pranav Sriram, Katherine Driggs Campbell:
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. CoRR abs/2202.13427 (2022) - Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Rose Driggs-Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material). CoRR abs/2207.04028 (2022) - 2021
- Ali Khakifirooz, Sriram Balasubrahmanyam, Richard Fastow, Kristopher H. Gaewsky, Chang-Wan Ha, Rezaul Haque, Owen Jungroth, Steven Law, Aliasgar S. Madraswala, Binh Ngo, Naveen Prabhu V, Shantanu Rajwade, Karthikeyan Ramamurthi, Rohit S. Shenoy, Jacqueline Snyder, Cindy Sun, Deepak Thimmegowda, Bharat Pathak, Pranav Kalavade:
A 1Tb 4b/Cell 144-Tier Floating-Gate 3D-NAND Flash Memory with 40MB/s Program Throughput and 13.8Gb/mm2 Bit Density. ISSCC 2021: 424-426 - Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katie Driggs Campbell:
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. CoRR abs/2111.10014 (2021) - 2017
- P. R. Sriram, Rahul Bhaskaran, D. Bharathi, Pranav Srinivasan, Nithin Krishnan, Hyder Ali Umma Habiba:
Reconfigurable X-band bandpass filter using SIR with variable capacitor. FGCT 2017: 1-4
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