Miller, Andrew

18 publications

ICLR 2025 Do LLMs ``know'' Internally When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew Miller, Udhyakumar Nallasamy, Jaya Narain
NeurIPSW 2024 Do LLMs Internally ``know'' When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Kwan Ho Ryan Chan, Udhyakumar Nallasamy, Andrew Miller, Jaya Narain
ICLR 2024 Large-Scale Training of Foundation Models for Wearable Biosignals Salar Abbaspourazad, Oussama Elachqar, Andrew Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro
NeurIPSW 2024 Time-Varying Representations of Longitudinal Biosignals Using Self-Supervised Learning Sam Jean Perochon, Salar Abbaspourazad, Joseph Futoma, Andrew Miller, Guillermo Sapiro
ICLRW 2023 Considerations for Distribution Shift Robustness in Health Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml
CLeaR 2022 Learning Invariant Representations with Missing Data Mark Goldstein, Joern-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew Miller
NeurIPSW 2022 Modeling Heart Rate Response to Exercise with Wearables Data Achille Nazaret, Sana Tonekaboni, Gregory Darnell, Shirley Ren, Guillermo Sapiro, Andrew Miller
AISTATS 2021 Hierarchical Inducing Point Gaussian Process for Inter-Domian Observations Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David Blei, John Cunningham
NeurIPSW 2021 Learning Invariant Representations with Missing Data Mark Goldstein, Joern-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew Miller
ICML 2019 Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography Andrew Miller, Ziad Obermeyer, John Cunningham, Sendhil Mullainathan
ICML 2018 Semi-Amortized Variational Autoencoders Yoon Kim, Sam Wiseman, Andrew Miller, David Sontag, Alexander Rush
NeurIPS 2017 Reducing Reparameterization Gradient Variance Andrew Miller, Nicholas Foti, Alexander D'Amour, Ryan P. Adams
NeurIPS 2015 A Gaussian Process Model of Quasar Spectral Energy Distributions Andrew Miller, Albert Wu, Jeff Regier, Jon McAuliffe, Dustin Lang, Mr. Prabhat, David Schlegel, Ryan P. Adams
ICML 2015 Celeste: Variational Inference for a Generative Model of Astronomical Images Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, Mr Prabhat
ICML 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball Andrew Miller, Luke Bornn, Ryan Adams, Kirk Goldsberry
CVPRW 2013 A Multi-Sensor Fusion Framework in 3-D Vishal Jain, Andrew Miller, Joseph L. Mundy
CVPRW 2010 VizWiz: : LocateIt - Enabling Blind People to Locate Objects in Their Environment Jeffrey P. Bigham, Chandrika Jayant, Andrew Miller, Brandyn White, Tom Yeh
AAAI 2007 A Vision-Based System for a UGV to Handle a Road Intersection Javed Ahmed, Mubarak Shah, Andrew Miller, Don Harper, M. Noman Jafri