Publications

Our publications provide insight into some of our leading-edge research.

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2022

Learning Joint Detection, Equalization and Decoding for Short-Packet Communications
Sebastian Dörner, Jannis Clausius, Sebastian Cammerer, Stephan ten Brink
QuadStream: A Quad-Based Scene Streaming Architecture for Novel Viewpoint Reconstruction
Jozef Hladky, Michael Stengel, Nicholas Vining, Bernhard Kerbl, Hans-Peter Seidel, Markus Steinberger
Efficient Arithmetic Block Identification with Graph Learning and Network-flow
Ziyi Wang, Zhuolun He, Chen Bai, Haoyu Yang, Bei Yu
Display Size and Targeting Performance: Small Hurts, Large May Help
Joohwan Kim, Arjun Madhusudan, Benjamin Watson, Ben Boudaoud, Roland Tarrazo, Josef Spjut
Deep Learning-Based Synchronization for Uplink NB-IoT
Fayçal Aït Aoudia , Jakob Hoydis, Sebastian Cammerer, Matthijs Van keirsbilck, Alex Keller
Graph Neural Networks for Channel Decoding
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia , Alex Keller
HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression
Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan
Spotlight Paper
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing (Mark) Ren
LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update
Jiawei Zhao, Steve Dai, Rangharajan Venkatesan, Brian Zimmer, Mustafa Ali, Ming-Yu Liu, Brucek Khailany, William Dally, Anima Anandkumar
Motion Policy Networks
Adam Fishman, Adithya Murali, Clemens Eppner, Bryan Peele, Byron Boots, Dieter Fox
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen, Rinon Gal, Eli Meirom, Gal Chechik, Yuval Atzmon
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, Samuli Laine
NeurIPS Outstanding Paper
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
Paraphrasing Is All You Need for Novel Object Captioning
Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency, Frank Wang
Structural Pruning via Latency-Saliency Knapsack
Maying Shen, Hongxu Danny Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez
Embodied Scene-aware Human Pose Estimation
Zhengyi Luo, Shun Iwase, Ye Yuan, Kris Kitani
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion
Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn, Arash Vahdat, Karsten Kreis
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications
Bo Fang, Siva Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models
Travis M. Bartley, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Boris Ginsburg
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
Stephen Tyree, Jonathan Tremblay, Stan Birchfield, et al.
Optimized geometries for cooperative photon storage in an impurity coupled to a two-dimensional atomic array
Samuel Buckley-Bonanno, Stefan Ostermann, Oriol Rubies-Bigorda, Taylor Patti, Susanne F. Yelin
Editors' Suggestion
The Implications of Page Size Management on Graph Analytics
Aninda Manocha, Zi Yan, Esin Tureci, Juan Luis Aragón, David Nellans, Margaret Martonosi
Demystifying Map Space Exploration for NPUs
Sheng-Chun Kao, Angshuman Parashar, Po-An Tsai, Tushar Krishna
Multi-blank Transducers for Speech Recognition
Hainan Xu, Fei Jia, Somshubra Majumdar, Shinji Watanabe, Boris Ginsburg
Esports and expertise: what competitive gaming can teach us about mastery
Ben Boudaoud, Josef Spjut, Joohwan Kim, Arjun Madhusudan, Benjamin Watson
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
Cheng-Ping Hsieh, Subhankar Ghosh, Boris Ginsburg
Adaptive NN-based OFDM Receivers: Computational Complexity vs. Achievable Performance
Moritz Benedikt Fischer, Sebastian Dörner, Felix Krieg, Sebastian Cammerer, Stephan ten Brink
Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks
M. Hossein Attar, Kaixin Chang, Ramez Askar, Slawomir Stanczak, Sebastian Cammerer, Guillermo Marcus, Alex Keller
Why are Graph Neural Networks Effective for EDA Problems?
Haoxing (Mark) Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu
TransSizer: A Novel Transformer-Based Fast Gate Sizer
Siddhartha Nath, Geraldo Pradipta, Corey Hu, Tian Yang, Brucek Khailany, Haoxing (Mark) Ren
TAG: Learning Circuit Spatial Embedding from Layouts
Keren Zhu, Hao Chen, Walker Turner, George F. Kokai, Po-Hsuan Wei, David Z. Pan, Haoxing (Mark) Ren