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Eric Chu
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2020 – today
- 2023
- [i11]Eric Chu, Jacob Andreas, Stephen Ansolabehere, Deb Roy:
Language Models Trained on Media Diets Can Predict Public Opinion. CoRR abs/2303.16779 (2023) - [i10]Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.:
PaLM 2 Technical Report. CoRR abs/2305.10403 (2023) - 2021
- [j5]Eric Chu, Loutfouz Zaman:
Exploring alternatives with Unreal Engine's Blueprints Visual Scripting System. Entertain. Comput. 36: 100388 (2021) - [i9]Eric Chu:
Evolving Evocative 2D Views of Generated 3D Objects. CoRR abs/2111.04839 (2021) - 2020
- [c17]Prashanth Vijayaraghavan, Eric Chu, Deb Roy:
DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. AACL/IJCNLP 2020: 643-652 - [c16]Eric Chu, Nabeel Gillani, Sneha Priscilla Makini:
Games for Fairness and Interpretability. WWW (Companion Volume) 2020: 520-524 - [i8]Eric Chu, Nabeel Gillani, Sneha Priscilla Makini:
Games for Fairness and Interpretability. CoRR abs/2004.09551 (2020) - [i7]Eric Chu, Deb Roy, Jacob Andreas:
Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction. CoRR abs/2007.12248 (2020)
2010 – 2019
- 2019
- [c15]Anastasios Arvanitis, Shivnath Babu, Eric Chu, Adrian Popescu, Alkis Simitsis, Kevin Wilkinson:
Automated Performance Management for the Big Data Stack. CIDR 2019 - [c14]Eric Chu, Peter J. Liu:
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization. ICML 2019: 1223-1232 - 2018
- [c13]Eric Chu, Prashanth Vijayaraghavan, Deb Roy:
Learning Personas from Dialogue with Attentive Memory Networks. EMNLP 2018: 2638-2646 - [c12]Juliana Nazare, Anneli Hershman, Ivan Sysoev, Lauren Fratamico, Juanita Buitrago, Mina Soltangheis, Sneha Priscilla Makini, Eric Chu, Deb Roy:
Child-Coach-Parent Network for Early Literacy Learning. ICLS 2018 - [i6]Eric Chu, Peter J. Liu:
Unsupervised Neural Multi-document Abstractive Summarization. CoRR abs/1810.05739 (2018) - [i5]Eric Chu, Prashanth Vijayaraghavan, Deb Roy:
Learning Personas from Dialogue with Attentive Memory Networks. CoRR abs/1810.08717 (2018) - 2017
- [c11]Eric Chu, Deb Roy:
Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies. ICDM 2017: 829-834 - [i4]Eric Chu, Deb Roy:
Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies. CoRR abs/1712.02896 (2017) - 2016
- [j4]Brendan O'Donoghue, Eric Chu, Neal Parikh, Stephen P. Boyd:
Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding. J. Optim. Theory Appl. 169(3): 1042-1068 (2016) - [c10]Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy:
Human Atlas: A Tool for Mapping Social Networks. WWW (Companion Volume) 2016: 247-250 - [i3]Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy:
Human Atlas: A Tool for Mapping Social Networks. CoRR abs/1602.02426 (2016) - 2014
- [j3]Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
Dynamic Network Energy Management via Proximal Message Passing. Found. Trends Optim. 1(2): 73-126 (2014) - 2013
- [c9]Eric Chu, Neal Parikh, Alexander Domahidi, Stephen P. Boyd:
Code generation for embedded second-order cone programming. ECC 2013: 1547-1552 - [c8]Alexander Domahidi, Eric Chu, Stephen P. Boyd:
ECOS: An SOCP solver for embedded systems. ECC 2013: 3071-3076 - 2012
- [c7]Eric Chu, Arezou Keshavarz, Dimitry M. Gorinevsky, Stephen P. Boyd:
Moving horizon estimation for staged QP problems. CDC 2012: 3177-3182 - [i2]Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
Message Passing for Dynamic Network Energy Management. CoRR abs/1204.1106 (2012) - 2011
- [j2]Stephen P. Boyd, Neal Parikh, Eric Chu, Borja Peleato, Jonathan Eckstein:
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. Found. Trends Mach. Learn. 3(1): 1-122 (2011) - 2010
- [c6]Adam Leeper, Kaijen Hsiao, Eric Chu, J. Kenneth Salisbury:
Using Near-Field Stereo Vision for Robotic Grasping in Cluttered Environments. ISER 2010: 253-267
2000 – 2009
- 2009
- [c5]AnHai Doan, Jeffrey F. Naughton, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong:
The Case for a Structured Approach to Managing Unstructured Data. CIDR 2009 - [c4]Eric Chu, Akanksha Baid, Xiaoyong Chai, AnHai Doan, Jeffrey F. Naughton:
Combining keyword search and forms for ad hoc querying of databases. SIGMOD Conference 2009: 349-360 - [i1]AnHai Doan, Jeffrey F. Naughton, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong:
The Case for a Structured Approach to Managing Unstructured Data. CoRR abs/0909.1783 (2009) - 2008
- [j1]AnHai Doan, Jeffrey F. Naughton, Raghu Ramakrishnan, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong:
Information extraction challenges in managing unstructured data. SIGMOD Rec. 37(4): 14-20 (2008) - 2007
- [c3]Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughton:
The case for a wide-table approach to manage sparse relational data sets. SIGMOD Conference 2007: 821-832 - [c2]Eric Chu, Akanksha Baid, Ting Chen, AnHai Doan, Jeffrey F. Naughton:
A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data. VLDB 2007: 1045-1056 - 2006
- [c1]Sanjay Agrawal, Eric Chu, Vivek R. Narasayya:
Automatic physical design tuning: workload as a sequence. SIGMOD Conference 2006: 683-694
Coauthor Index
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