Andrew Campbell

33 papers A* 8Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Self-Supervised Framework for Space Object Behaviour Characterisation.
CoRR
Ian Groves, Andrew Campbell, James Fernandes, Diego Ramírez Rodríguez, Paul Murray, Massimiliano Vasile, Victoria Nockles
2025 J jnl
Decentralized Differentially Private Power Method.
CoRR
Andrew Campbell, Anna Scaglione, Sean Peisert
2025 J jnl
Differential Privacy of Network Parameters from a System Identification Perspective.
CoRR
Andrew Campbell, Anna Scaglione, Hang Liu, Victor Elvira, Sean Peisert, Daniel B. Arnold
2025 J jnl
Self-Speculative Masked Diffusions.
CoRR
Andrew Campbell, Valentin De Bortoli, Jiaxin Shi, Arnaud Doucet
2025 A* conf
Think while You Generate: Discrete Diffusion with Planned Denoising.
ICLR
Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2024 — conf
A Federated Learning Approach for Graph Convolutional Neural Networks.
SAM
Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu
2024 A* conf
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
ICML
Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola
2024 J jnl
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design.
CoRR
Andrew Campbell, Jason Yim, Regina Barzilay, Tom Rainforth, Tommi S. Jaakkola
2024 J jnl
Hyperspectral Lightcurve Inversion for Attitude Determination.
CoRR
Simão da Graça Marto, Massimiliano Vasile, Andrew Campbell, Paul Murray, Stephen Marshall, Vasili Savitski
2024 J jnl
Improved motif-scaffolding with SE(3) flow matching.
CoRR
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024 J jnl
Improved motif-scaffolding with SE(3) flow matching.
Trans. Mach. Learn. Res.
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, José Jiménez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noé, Regina Barzilay, Tommi S. Jaakkola
2024 A* conf
Score-Optimal Diffusion Schedules.
NeurIPS
Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed
2024 J jnl
Score-Optimal Diffusion Schedules.
CoRR
Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed
2024 J jnl
Think While You Generate: Discrete Diffusion with Planned Denoising.
CoRR
Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2023 A* conf
Diffusion Schrödinger Bridge Matching.
NeurIPS
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
2023 J jnl
Diffusion Schrödinger Bridge Matching.
CoRR
Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet
2023 J jnl
MALCOM-PSGD: Inexact Proximal Stochastic Gradient Descent for Communication-Efficient Decentralized Machine Learning.
CoRR
Andrew Campbell, Hang Liu, Leah Woldemariam, Anna Scaglione
2023 J jnl
Space Object Identification and Classification from Hyperspectral Material Analysis.
CoRR
Massimiliano Vasile, Lewis Walker, Andrew Campbell, Simão Marto, Paul Murray, Stephen Marshall, Vasili Savitski
2023 A* conf
Trans-Dimensional Generative Modeling via Jump Diffusion Models.
NeurIPS
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth, Arnaud Doucet
2023 J jnl
Trans-Dimensional Generative Modeling via Jump Diffusion Models.
CoRR
Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Tom Rainforth, Arnaud Doucet
2023 J jnl
normflows: A PyTorch Package for Normalizing Flows.
CoRR
Vincent Stimper, David Liu, Andrew Campbell, Vincent Berenz, Lukas Ryll, Bernhard Schölkopf, José Miguel Hernández-Lobato
2023 J jnl
normflows: A PyTorch Package for Normalizing Flows.
J. Open Source Softw.
Vincent Stimper, David Liu, Andrew Campbell, Vincent Berenz, Lukas Ryll, Bernhard Schölkopf, José Miguel Hernández-Lobato
2022 A* conf
A Continuous Time Framework for Discrete Denoising Models.
NeurIPS
Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
2022 J jnl
A Continuous Time Framework for Discrete Denoising Models.
CoRR
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
2022 J jnl
Asynchronous Distributed IoT-Enabled Customer Characterization in Distribution Networks: Theory and Hardware Implementation.
IEEE Trans. Smart Grid
Andrew Campbell, Mohamad El Hariri, Masood Parvania
2021 A* conf
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization.
ICML
Andrew Campbell, Wenlong Chen, Vincent Stimper, José Miguel Hernández-Lobato, Yichuan Zhang
2021 A* conf
Online Variational Filtering and Parameter Learning.
NeurIPS
Andrew Campbell, Yuyang Shi, Thomas Rainforth, Arnaud Doucet
2021 J jnl
Online Variational Filtering and Parameter Learning.
CoRR
Andrew Campbell, Yuyang Shi, Tom Rainforth, Arnaud Doucet
2019 J jnl
Detecting and mapping traffic signs from Google Street View images using deep learning and GIS.
Comput. Environ. Urban Syst.
Andrew Campbell, Alan Both, Qian (Chayn) Sun
2018 J jnl
Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools.
npj Digit. Medicine
Honor Hsin, Menachem Fromer, Bret Peterson, Collin Walter, Mathias S. Fleck, Andrew Campbell, Paul Varghese, Robert M. Califf
2012 — conf
A holistic framework for water sustainability and eduction in municipal green spaces.
CCECE
Scott Fazackerley, Andrew Campbell, Robert Ryan Trenholm, Ramon Lawrence
2002 J jnl
Supply of Software: Copyright and Contract Issues.
Int. J. Law Inf. Technol.
Diane Rowland, Andrew Campbell
1999 J jnl
Banks and Business Customers: The Y2K Problem.
J. Inf. Law Technol.
Andrew Campbell