Jacob Miller

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 18

Top Topics

Probabilistic Graphical Models

Continuous Data

Spherical Harmonics

Top Venues

Publications

Alex Meiburg, Jing Chen, Jacob Miller, Raphaëlle Tihon, Guillaume Rabusseau, Alejandro Perdomo-Ortiz
Generative Learning of Continuous Data by Tensor Networks. CoRR (2023)
Jacob Miller, Vahan Huroyan, Stephen G. Kobourov
Balancing between the Local and Global Structures (LGS) in Graph Embedding. CoRR (2023)
Jacob Miller, Mohammad Ghoniem, Hsiang-Yun Wu, Helen C. Purchase
On the Perception of Small Sub-graphs. CoRR (2023)
Karsten Klein, Stephen G. Kobourov, Bernice E. Rogowitz, Danielle Szafir, Jacob Miller
Perception in Network Visualization (Dagstuhl Seminar 23051). Dagstuhl Reports 13 (1) (2023)
Jacob Miller, Stephen G. Kobourov, Vahan Huroyan
Browser-based Hyperbolic Visualization of Graphs. PacificVis (2022)
Jacob Miller, Stephen G. Kobourov, Vahan Huroyan
Browser-based Hyperbolic Visualization of Graphs. CoRR (2022)
Jacob Miller, Vahan Huroyan, Stephen G. Kobourov
Spherical Graph Drawing by Multi-dimensional Scaling. GD (2022)
Jacob Miller, Vahan Huroyan, Stephen G. Kobourov
Spherical Graph Drawing by Multi-dimensional Scaling. CoRR (2022)
Jacob Miller, Geoffrey Roeder, Tai-Danae Bradley
Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework. CoRR (2021)
Vishrawas Gopalakrishnan, Sayali Navalekar, Pan Ding, Ryan Hooley, Jacob Miller, Raman Srinivasan, Ajay Deshpande, Xuan Liu, Simone Bianco, James H. Kaufman
Adaptive Epidemic Forecasting and Community Risk Evaluation of COVID-19. CoRR (2021)
Jacob Miller, Guillaume Rabusseau, John Terilla
Tensor Networks for Probabilistic Sequence Modeling. AISTATS (2021)
Sandesh Adhikary, Siddarth Srinivasan, Jacob Miller, Guillaume Rabusseau, Byron Boots
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. AISTATS (2021)
Meraj Hashemizadeh, Michelle Liu, Jacob Miller, Guillaume Rabusseau
Adaptive Tensor Learning with Tensor Networks. CoRR (2020)
Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau, Byron Boots
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. CoRR (2020)
Jacob Miller, Guillaume Rabusseau, John Terilla
Tensor Networks for Language Modeling. CoRR (2020)
Steffen Borgwardt, Jesús A. De Loera, Elisabeth Finhold, Jacob Miller
The hierarchy of circuit diameters and transportation polytopes. Discret. Appl. Math. 240 (2018)
Ethan Anderes, Steffen Borgwardt, Jacob Miller
Discrete Wasserstein barycenters: optimal transport for discrete data. Math. Methods Oper. Res. 84 (2) (2016)
Qi Yang, Tran Nguyen, Chunan Liu, Jacob Miller, Jeffrey F. Rhoads, Jacqueline C. Linnes, Hyowon Lee
Polyimide-based magnetic microactuators for biofouling removal. EMBC (2016)