Computation for Data Analytics - Posters
| Gather.town Poster # | Student Name | Poster Title | Advisor | |
|---|---|---|---|---|
| #1 | Xuhui Zhang | Bias - variance tradeoff in data imputation | Prof. Jose Blanchet | PDF & Video |
| #2 | Andrew Banko | Enhancing accuracy and lowering cost for digital twins through hybrid ML4CFD models | Prof. John K. Eaton | PDF & Video |
| #3 | Akshay Agrawal | Differentiating through Log-Log Convex Programs | Prof. Stephen Boyd | PDF & Video |
| #4 | Luke Upton | Towards Integrated Multibit per Cell RRAM-Based In-Memory Computation | Prof. Boris Murmann | PDF & Video |
| #5 | Guénolé Lallement & Massimo Giordano | Enabling Efficient Edge AI SoCs using Technology-Optimized DNN Accelerator and High-Density Fully Embedded Non-Volatile Resistive RAM | Profs. Subhasish Mitra & Boris Murmann | PDF & Video |
| #6 | Albert Gural | Low-Rank Training of Deep Neural Networks for Emerging Memory Technology | Prof. Boris Murmann | PDF & Video |
| #7 | Andrew Bartolo | Exploration of N3XT computing systems for HPC applications | Prof. Subhasish Mitra | PDF & Video |
| #8 | Junzi Zhang | Sample Efficient Reinforcement Learning with REINFORCE | Prof. Stephen Boyd | PDF & Video |
| #9 | Ariana Mann & Ilai Bistritz | Peer Pressure: Distributed Distillation for On-Device Learning | Prof. Nicholas Bambos | PDF & Video |
| #10 | Berivan Isik | Noisy Neural Network Compression for Analog Storage Devices | Prof. Tsachy Weissman | PDF & Video |
| #11 | Yun Liao | Construction of polar codes with reinforcement learning | Prof. John Cioffi | PDF & Video |
Date and Time:
Wednesday, November 4, 2020 - 10:00am
