Three Kinds of Integer Programming Algorithms Based on Barvinok's Rational Functions. - Jesús A. De Loera; David Haws; Raymond Hemmecke; Peter Huggins; Ruriko Yoshida (IPCO, 2004)

Short rational functions for toric algebra and applications. - Jesús A. De Loera; David Haws; Raymond Hemmecke; Peter Huggins; Bernd Sturmfels; Ruriko Yoshida (J. Symb. Comput., 2004)

A computational study of integer programming algorithms based on Barvinok's rational functions. - Jesús A. De Loera; David Haws; Raymond Hemmecke; Peter Huggins; Ruriko Yoshida (Discret. Optim., 2005)

Bayes estimators for phylogenetic reconstruction - Peter Huggins; Wenbin Li; David Haws; Thomas Friedrich 004; Jinze Liu; Ruriko Yoshida (CoRR, 2009)

Ehrhart Polynomials of Matroid Polytopes and Polymatroids. - Jesús A. De Loera; David C. Haws; Matthias Köppe (Discret. Comput. Geom., 2009)

Computation in multicriteria matroid optimization. - Jesús A. De Loera; David C. Haws; Jon Lee 001; Allison O'Hair (ACM J. Exp. Algorithmics, 2009)

A support vector machine based test for incongruence between sets of trees in tree space. - David C. Haws; Peter Huggins; Eric M. O'Neill; David W. Weisrock; Ruriko Yoshida (BMC Bioinform., 2012)

QuickLexSort: An efficient algorithm for lexicographically sorting nested restrictions of a database. - David Haws (CoRR, 2013)

MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction. - Dan He 001; Irina Rish; David Haws; Simon Teyssedre; Zivan Karaman; Laxmi Parida (CoRR, 2013)

Approximate Techniques in Solving Optimal Camera Placement Problems. - Jian Zhao 003; Ruriko Yoshida; Sen-ching Samson Cheung; David Haws (Int. J. Distributed Sens. Networks, 2013)

Learning Bayesian network structure: Towards the essential graph by integer linear programming tools. - Milan Studený; David Haws (Int. J. Approx. Reason., 2014)

Host Trait Prediction of Metagenomic Data for Topology-Based Visualization. - Laxmi Parida; Niina Haiminen; David Haws; Jan Suchodolski (ICDCIT, 2015)

On the importance of event detection for ASR. - David Haws; Dimitrios Dimitriadis; George Saon; Samuel Thomas 001; Michael Picheny (ICASSP, 2016)

MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait Prediction. - Dan He 001; Irina Rish; David Haws; Laxmi Parida (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Polyhedral aspects of score equivalence in Bayesian network structure learning. - James Cussens; David Haws; Milan Studený (Math. Program., 2017)

Cyclegan Bandwidth Extension Acoustic Modeling for Automatic Speech Recognition. - David Haws; Xiaodong Cui (ICASSP, 2019)

Stable Checkpoint Selection and Evaluation in Sequence to Sequence Speech Synthesis. - Slava Shechtman; David Haws; Raul Fernandez (ICASSP, 2021)

Reducing Exposure Bias in Training Recurrent Neural Network Transducers. - Xiaodong Cui; Brian Kingsbury; George Saon; David Haws; Zoltán Tüske (Interspeech, 2021)

Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. - Gakuto Kurata; George Saon; Brian Kingsbury; David Haws; Zoltán Tüske (Interspeech, 2021)

Synthesis of Expressive Speaking Styles with Limited Training Data in a Multi-Speaker, Prosody-Controllable Sequence-to-Sequence Architecture. - Slava Shechtman; Raul Fernandez; Alexander Sorin; David Haws (Interspeech, 2021)

Supervised and unsupervised approaches for controlling narrow lexical focus in sequence-to-sequence speech synthesis. - Slava Shechtman; Raul Fernandez; David Haws (SLT, 2021)

Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis. - Raul Fernandez; David Haws; Guy Lorberbom; Slava Shechtman; Alexander Sorin (INTERSPEECH, 2022)

VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. - Jiatong Shi; George Saon; David Haws; Shinji Watanabe 001; Brian Kingsbury (INTERSPEECH, 2022)

Speak While You Think: Streaming Speech Synthesis During Text Generation. - Avihu Dekel; Slava Shechtman; Raul Fernandez; David Haws; Zvi Kons; Ron Hoory (ICASSP, 2024)