John T. Halloran

14 papers A* 2A 2Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Mamba State-Space Models Are Lyapunov-Stable Learners. Trans. Mach. Learn. Res. John T. Halloran, Manbir S. Gulati, Paul F. Roysdon
2024	J	`jnl`	Mamba State-Space Models Can Be Strong Downstream Learners. CoRR John T. Halloran, Manbir S. Gulati, Paul F. Roysdon
2020	A*	`conf`	GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. NeurIPS John T. Halloran, David M. Rocke
2020	J	`jnl`	GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification. CoRR John T. Halloran, David M. Rocke
2019	J	`jnl`	Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. CoRR John T. Halloran, David M. Rocke
2019	J	`jnl`	Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. CoRR John T. Halloran, David M. Rocke
2018	J	`jnl`	Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization. CoRR Rishabh K. Iyer, John T. Halloran, Kai Wei
2018	A*	`conf`	Learning Concave Conditional Likelihood Models for Improved Analysis of Tandem Mass Spectra. NeurIPS John T. Halloran, David M. Rocke
2017	—	`conf`	Analyzing Tandem Mass Spectra: A Graphical Models Perspective. AMBN John T. Halloran
2017	—	`conf`	Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra. NIPS John T. Halloran, David M. Rocke
2016	J	`jnl`	Faster and more accurate graphical model identification of tandem mass spectra using trellises. Bioinform. Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble
2014	A	`conf`	Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry. UAI John T. Halloran, Jeff A. Bilmes, William Stafford Noble
2012	J	`jnl`	Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra CoRR Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble
2012	A	`conf`	Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra. UAI Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble