Publications | Research

2021

Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox

Hierarchical Planning for Long-Horizon Manipulation with Geometric and Symbolic Scene Graphs

Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Yuke Zhu

ICRA

Simba: scaling deep-learning inference with chiplet-based architecture

Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matt Fojtik, Ted Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Pinckney, Priyanka Raina, Stephen Tell, Yanqing Zhang, William Dally, Joel Emer, Tom Gray, Brucek Khailany, Steve Keckler

ACM Research Highlight

Fast Uncertainty Quantification for Deep Object Pose Estimation

Guanya Shi, Yifeng Zhu, Jonathan Tremblay, Stan Birchfield, Fabio Ramos, Anima Anandkumar, Yuke Zhu

ICRA

Demystifying GPU Reliability: Comparing and Combining Beam Experiments, Fault Simulation, and Profiling

Fernando Fernandes dos Santos, Siva Hari, Pedro Martins Basso, Luigi Carro, Paolo Rech

Genome-wide Bioinformatic Analyses Predict Key Host and Viral Factors in SARS-CoV-2 Pathogenesis

Mariana G. Ferrarini, Avantika Lal, Rita Rebollo, Andreas Gruber, Andrea Guarracino, Itziar Martinez Gonzalez, Taylor Floyd, Daniel Siqueira de Oliveira, Justin Shanklin, Ethan Beausoleil, Taneli Pusa, Brett E. Pickett, Vanessa Aguiar-Pulido

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services

Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg

A Case Study of First Person Aiming at Low Latency for Esports

Josef Spjut, Ben Boudaoud, Joohwan Kim

NViSII: A Scriptable Tool for Photorealistic Image Generation

Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald

Contrastive Syn-to-Real Generalization

Wuyang Chen, Zhiding Yu, Shalini De Mello, Sifei Liu, Jose M. Alvarez, Zhangyang Wang, Anima Anandkumar

Visualizing Errors in Rendered High Dynamic Range Images

Pontus Ebelin, Jim Nilsson, Peter Shirley, Tomas Akenine-Möller

Scaling Probe-Based Real-Time Dynamic Global Illumination for Production

Zander Majercik, Adam Marrs, Josef Spjut, Morgan McGuire

Sparseloop: An Analytical, Energy-Focused Design Space Exploration Methodology for Sparse Tensor Accelerators

Yannan Nellie Wu, Po-An Tsai, Angshuman Parashar, Vivienne Sze, Joel Emer

Improved Shader and Texture Level of Detail Using Ray Cones

Tomas Akenine-Möller, Cyril Crassin, Jakub Boksansky, Laurent Belcour, Alexey Panteleev, Oli Wright

GAMMA: Exploiting Gustavson’s Algorithm to Accelerate Sparse Matrix Multiplication

Guowei Zhang, Nithya Attaluri, Joel Emer, Daniel Sanchez

Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search

Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction

Stanislav Beliaev, Boris Ginsburg

TalkNet: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis

Stanislav Beliaev, Boris Ginsburg

Appearance-Driven Automatic 3D Model Simplification

Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine

NeMo Inverse Text Normalization: From Development To Production

Yang Zhang, Evelina Bakhturina, Kyle Gorman, Boris Ginsburg

A Toolbox for Construction and Analysis of Speech Datasets

Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg

GPU Domain Specialization via Composable On-Package Architecture

Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Steve Keckler

VS-QUANT: Per-Vector Scaled Quantization for Accurate Low-Precision Neural Network Inference

Steve Dai, Rangharajan Venkatesan, Haoxing (Mark) Ren, Brian Zimmer, William Dally, Brucek Khailany

SPGISpeech: 5,000 Hours of Transcribed Financial Audio for Fully Formatted End-to-End Speech Recognition

Patrick K. O’Neill, Vitaly Lavrukhin, Somshubra Majumdar, Vahid Noroozi, Yuekai Zhang, Oleksii Kuchaiev, Jagadeesh Balam, Yuliya Dovzhenko, Keenan Freyberg, Michael D. Shulman, Boris Ginsburg, Shinji Watanabe, Georg Kucsko

Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition

Somshubra Majumdar, Jagadeesh Balam, Oleksii Hrinchuk, Vitaly Lavrukhin, Vahid Noroozi, Boris Ginsburg

Auxiliary Learning by Implicit Differentiation

Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya

On the Universality of Rotation Equivariant Point Cloud Networks

Nadav Dym, Haggai Maron

Learning the Pareto Front with Hypernetworks

Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik

Hi-Fi Multi-Speaker English TTS Dataset

Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg, Yang Zhang

RGB-D Local Implicit Function for Depth Completion of Transparent Objects

Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox