Developing 3-d animated applications prototypes in the classroom. - Alexandre Passos; Richard Simpson 003 (J. Comput. Sci. Coll., 2002)

Rameau: a System for Automatic harmonic Analysis. - Pedro Kröger; Alexandre Passos; Marcos Sampaio (ICMC, 2008)

Scikit-learn: Machine Learning in Python. - Fabian Pedregosa; Gaël Varoquaux; Alexandre Gramfort; Vincent Michel; Bertrand Thirion; Olivier Grisel; Mathieu Blondel; Peter Prettenhofer; Ron Weiss; Vincent Dubourg; Jake VanderPlas; Alexandre Passos; et al. (J. Mach. Learn. Res., 2011)

Flexible Modeling of Latent Task Structures in Multitask Learning. - Alexandre Passos; Piyush Rai; Jacques Wainer; Hal Daumé III (ICML, 2012)

MAP Inference in Chains using Column Generation. - David Belanger 002; Alexandre Passos; Sebastian Riedel 001; Andrew McCallum (NIPS, 2012)

Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. - Sameer Singh 001; Limin Yao; David Belanger 002; Ari Kobren; Sam Anzaroot; Mike Wick; Alexandre Passos; Harshal Pandya; Jinho D. Choi; Brian Martin; Andrew McCallum (TAC, 2013)

Algoritmos combinatórios e de programação linear para inferência em processamento de linguagem natural. - Alexandre Passos (2013)

Learning Soft Linear Constraints with Application to Citation Field Extraction. - Sam Anzaroot; Alexandre Passos; David Belanger 002; Andrew McCallum (ACL (1), 2014)

Lexicon Infused Phrase Embeddings for Named Entity Resolution. - Alexandre Passos; Vineet Kumar; Andrew McCallum (CoNLL, 2014)

Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space. - Arvind Neelakantan; Jeevan Shankar; Alexandre Passos; Andrew McCallum (EMNLP, 2014)

Message Passing for Soft Constraint Dual Decomposition. - David Belanger 002; Alexandre Passos; Sebastian Riedel 001; Andrew McCallum (UAI, 2014)

Large scale distributed neural network training through online distillation. - Rohan Anil; Gabriel Pereyra; Alexandre Passos; Róbert Ormándi; George E. Dahl; Geoffrey E. Hinton (ICLR (Poster), 2018)

TensorFlow Eager: A multi-stage, Python-embedded DSL for machine learning. - Akshay Agrawal; Akshay Naresh Modi; Alexandre Passos; Allen Lavoie; Ashish Agarwal; Asim Shankar; Igor Ganichev; Josh Levenberg; Mingsheng Hong; Rajat Monga; Shanqing Cai (SysML, 2019)

Faster Neural Network Training with Data Echoing. - Dami Choi; Alexandre Passos; Christopher J. Shallue; George E. Dahl (CoRR, 2019)

Report on the First HIPstIR Workshop on the Future of Information Retrieval. - Laura Dietz; Bhaskar Mitra 001; Jeremy Pickens; Hana Anber; Sandeep Avula; Asia Biega; Adrian Boteanu; Shubham Chatterjee; Jeff Dalton 001; Shiri Dori-Hacohen; John Foley; Henry Feild; et al. (SIGIR Forum, 2019)

FRUIT: Faithfully Reflecting Updated Information in Text. - Robert L. Logan IV; Alexandre Passos; Sameer Singh 001; Ming-Wei Chang (NAACL-HLT, 2022)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Anselm Levskaya; Gaurav Mishra; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (CoRR, 2022)

Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models. - Luke Vilnis; Yury Zemlyanskiy; Patrick Murray; Alexandre Tachard Passos; Sumit Sanghai (ICML, 2023)

PaLM 2 Technical Report. - 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; et al. (CoRR, 2023)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Gaurav Mishra; Anselm Levskaya; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (J. Mach. Learn. Res., 2023)