Publications

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

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2024

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng, Huck Yang
Learning to Compare Hardware Designs for High-Level Synthesis
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing (Mark) Ren, Yizhou Sun, Jason Cong
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting
Albert Wu, Ruocheng Wang, Sirui Chen, Clemens Eppner, C Karen Liu
LCM-Lookahead for Encoder-based Text-to-Image Personalization
Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H Bermano, Gal Chechik, Daniel Cohen-Or
A 0.190-pJ/bit 25.2-Gb/s/wire Inverter-Based AC-Coupled Transceiver for Short-Reach Die-to-Die Interfaces in 5-nm CMOS
Yoshinori Nishi, John W. Poulton, Xi Chen, Sanquan Song, Brian Zimmer, Walker Turner, Stephen Tell, Nikola Nedovic, John Wilson, William Dally, Tom Gray
Is Less More? Rendering for Esports
Benjamin Watson, Josef Spjut, Joohwan Kim, Byungjoo Lee, Mijin Yoo, Peter Shirley, Rulon Raymond
BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation
Yingjie Li, Anthony Agnesina, Yanqing Zhang, Haoxing (Mark) Ren, Cunxi Yu
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis
Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng
A Chat about Boring Problems: Studying GPT-Based Text Normalization
Yang Zhang, Travis M. Bartley, Mariana Graterol-Fuenmayor, Vitaly Lavrukhin, Evelina Bakhturina, Boris Ginsburg
Novel Transformer Model Based Clustering Method for Standard Cell Design Automation
Chia-Tung (Mark) Ho, Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li, Haoxing (Mark) Ren
Best Paper Award
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner
Rongjian Liang, Anthony Agnesina, Haoxing (Mark) Ren
GPU/ML-Enhanced Large Scale Global Routing Contest
Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing (Mark) Ren
Consolidating Attention Features for Multi-view Image Editing
Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre
Evaluating and Improving Rendered Visual Experiences: Metrics, Compression, Higher Frame Rates & Recoloring
Pontus Ebelin
ConsiStory: Training-Free Consistent Text-to-Image Generation
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes
Yuanxing Duan, Fangyin Wei, Qiyu Dai, Yuhang He, Wenzheng Chen, Baoquan Chen
Estimates of Temporal Edge Detection Filters in Human Vision
Pontus Ebelin, Gyorgy Denes, Tomas Akenine-Möller, Kalle Åström, Magnus Oskarsson, William H. McIlhagga
Interactive Texture Painting with Generative AI
Anita Hu, Nishkrit Desai, Ashley Goldstein, Hassan Abu Alhaija, Seung Wook Kim, Daniela Hasenbring, Alex Zook, Rajeev Rao, Maria Shugrina
Quantum computing with subwavelength atomic arrays
Freya Shah, Taylor Patti, Oriol Rubies-Bigorda, Susanne F. Yelin
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-to-End Automatic Speech Recognition
Aleksandr Laptev, Boris Ginsburg
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas Guibas, Lin Gao
Generating images of rare concepts using pre-trained diffusion models
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

2023

Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition
Vahid Noroozi, Somshubra Majumdar, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models
Yoni Kasten, Ohad Rahamim, Gal Chechik
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Jimmy T. H. Smith, Shalini De Mello, Jan Kautz, Scott Linderman, Wonmin Byeon
Generalizable One-shot 3D Neural Head Avatar
Xueting Li, Shalini De Mello, Sifei Liu, Koki Nagano, Umar Iqbal, Jan Kautz
SceneScape: Text-Driven Consistent Scene Generation
Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Chen Chen, YuChen Hu, Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Ensiong Chng
Learning for CasADi: Data-driven Models in Numerical Optimization
Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll
Graph Metanetworks for Processing Diverse Neural Architectures
Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit Bermano