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Artificial Intelligence Computing Leadership from NVIDIA
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3D Deep Learning
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426 results found
Artificial Intelligence and Machine Learning
Clear all
Artificial Intelligence and Machine Learning
2022
Artificial Neural Networks generated by Low Discrepancy Sequences
Matthijs Van keirsbilck
,
Alex Keller
A Dataset and Explorer for 3D Signed Distance Functions
Towaki Takikawa
, Andrew Glassner, Morgan McGuire
Neural Fields in Visual Computing and Beyond
Yiheng Xie,
Towaki Takikawa
, Shunsuke Saito, Or Litany, Shiqin Yan, Numair Khan, Federico Tombari, James Tompkin, Vincent Sitzmann, Srinath Sridhar
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
Ye Yuan
, Yuda Song, Zhengyi Luo, Wen Sun, Kris Kitani
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen,
Rinon Gal
,
Gal Chechik
,
Yuval Atzmon
ECCV
Oral
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Jakob Hoydis
,
Sebastian Cammerer
,
Fayçal Aït Aoudia
, Avinash Vem,
Nikolaus Binder
,
Guillermo Marcus
,
Alex Keller
DefGraspSim: Physics-Based Simulation of Grasp Outcomes on 3D Deformable Objects
Isabella Huang,
Yashraj Narang
,
Clemens Eppner
,
Balakumar Sundaralingam
, Miles Macklin, Ruzena Bajcsy,
Tucker Hermans
,
Dieter Fox
DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators
Sheng-Chun Kao,
Michael Pellauer
,
Angshuman Parashar
, Tushar Krishna
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Haoyu Yang
, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay,
Mark Kilgard
, Anima Anandkumar,
Brucek Khailany
, Vivek Singh,
Haoxing (Mark) Ren
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems
Jingkai Chen, Jiaoyang Li, Yijiang Huang,
Caelan Garrett
, Dawei Sun, Chuchu Fan, Andreas Hofmann, Caitlin Mueller, Sven Koenig, Brian Williams
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
ICLR
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao,
Karsten Kreis
,
Arash Vahdat
ICLR
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators
Prasanth Chatarasi, Hyoukjun Kwon,
Angshuman Parashar
,
Michael Pellauer
, Tushar Krishna, Vivek Sarkar
Reinforcement Learning for Datacenter Congestion Control
Chen Tessler
, Yuval Shpigelman,
Gal Dalal
, Amit Mendelbaum, Doron Kazakov, Benjamin Fuhrer,
Gal Chechik
,
Shie Mannor
Machine Learning and Algorithms: Let Us Team Up for EDA
Haoxing (Mark) Ren
,
Brucek Khailany
,
Matt Fojtik
,
Yanqing Zhang
2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina,
Karsten Kreis
, Andreas Geiger, Sanja Fidler
NeurIPS
Alias-Free Generative Adversarial Networks
Tero Karras
,
Miika Aittala
,
Samuli Laine
, Erik Härkönen,
Janne Hellsten
, Jaakko Lehtinen,
Timo Aila
NeurIPS
EditGAN: High-Precision Semantic Image Editing
Huan Ling,
Karsten Kreis
, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
NeurIPS
NVCell: Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Haoxing (Mark) Ren
,
Matt Fojtik
,
Brucek Khailany
Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers
Jacob R. Stevens,
Rangharajan Venkatesan
,
Steve Dai
,
Brucek Khailany
, Anand Raghunathan
KAMA: 3D Keypoint Aware Body Mesh Articulation
Umar Iqbal
, Kevin Xie, Kelly Guo,
Jan Kautz
,
Pavlo Molchanov
Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission
Iuri Frosio
, Aldo Marzullo, Martina Golini, Elena De Momi, Michele Catellani, Francesco Calimeri, Giuseppe Fiameni
Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg
,
Jon Hasselgren
, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans,
Thomas Müller
, Sanja Fidler
Noise-Aware Video Saliency Prediction
Ekta Prashnani
,
Orazio Gallo
,
Joohwan Kim
,
Josef Spjut
, Pradeep Sen,
Iuri Frosio
A Contrastive Learning Approach for Training Variational Autoencoder Priors
Jyoti Aneja, Alexander Schwing,
Jan Kautz
,
Arash Vahdat
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie
,
Arash Vahdat
, Anima Anandkumar
NeurIPS
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao, Alex Bie,
Arash Vahdat
, Sanja Fidler,
Karsten Kreis
NeurIPS
Score-based Generative Modeling in Latent Space
Arash Vahdat
,
Karsten Kreis
,
Jan Kautz
NeurIPS
Speckle-free holography with partially coherent light sources and camera-in-the-loop calibration
Yifan Peng, Suyeon Choi,
Jonghyun Kim
, Gordon Wetzstein
Graph Learning-Based Arithmetic Block Identification
Zhuolun He, Ziyi Wang, Chen Bai,
Haoyu Yang
, Bei Yu
Optimizing Selective Protection for CNN Resilience
Abdulrahman Mahmoud,
Siva Hari
, Christopher W. Fletcher, Sarita V. Adve,
Charbel Sakr
, Naresh Shanbhag,
Pavlo Molchanov
,
Michael B. Sullivan
, Timothy Tsai,
Steve Keckler
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