Edward Paxon Frady

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 44

Top Topics

Distributed Representations

Scene Understanding

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
Neuromorphic visual scene understanding with resonator networks. Nat. Mac. Intell. 6 (6) (2024)
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
Perceptron Theory Can Predict the Accuracy of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
Efficient Video and Audio Processing with Loihi 2. ICASSP (2024)
Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps. CoRR (2024)
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya
Visual odometry with neuromorphic resonator networks. Nat. Mac. Intell. 6 (6) (2024)
Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
Efficient Decoding of Compositional Structure in Holistic Representations. Neural Comput. 35 (7) (2023)
Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen, Edward Paxon Frady, Friedrich T. Sommer
Efficient Decoding of Compositional Structure in Holistic Representations. CoRR (2023)
Edward Paxon Frady, Spencer J. Kent, Quinn Tran, Pentti Kanerva, Bruno A. Olshausen, Friedrich T. Sommer
Learning and generalization of compositional representations of visual scenes. CoRR (2023)
Christopher J. Kymn, Denis Kleyko, Edward Paxon Frady, Connor Bybee, Pentti Kanerva, Friedrich T. Sommer, Bruno A. Olshausen
Computing with Residue Numbers in High-Dimensional Representation. CoRR (2023)
Sumit Bam Shrestha, Jonathan Timcheck, Edward Paxon Frady, Leobardo Campos-Macias, Mike Davies
Efficient Video and Audio processing with Loihi 2. CoRR (2023)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Variable Binding for Sparse Distributed Representations: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Alpha Renner, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
Sparse Vector Binding on Spiking Neuromorphic Hardware Using Synaptic Delays. ICONS (2022)
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Edward Paxon Frady, Friedrich T. Sommer, Yulia Sandamirskaya
Neuromorphic Visual Odometry with Resonator Networks. CoRR (2022)
Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
Integer Factorization with Compositional Distributed Representations. CoRR (2022)
Edward Paxon Frady, Sophia Sanborn, Sumit Bam Shrestha, Daniel Ben Dayan Rubin, Garrick Orchard, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Resonator Neurons. J. Signal Process. Syst. 94 (10) (2022)
Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
Computing on Functions Using Randomized Vector Representations (in brief). NICE (2022)
Denis Kleyko, Connor Bybee, Christopher J. Kymn, Bruno A. Olshausen, Amir Khosrowshahi, Dmitri E. Nikonov, Friedrich T. Sommer, Edward Paxon Frady
Integer Factorization with Compositional Distributed Representations. NICE (2022)
Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady
Neuromorphic Visual Scene Understanding with Resonator Networks. CoRR (2022)
Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware. Proc. IEEE 110 (10) (2022)
Denis Kleyko, Edward Paxon Frady, Mansour Kheffache, Evgeny Osipov
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Connor Bybee, Edward Paxon Frady, Friedrich T. Sommer
Deep Learning in Spiking Phasor Neural Networks. CoRR (2022)
Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32 (8) (2021)
Denis Kleyko, Mike Davies, Edward Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware. CoRR (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. CoRR (2021)
Garrick Orchard, Edward Paxon Frady, Daniel Ben Dayan Rubin, Sophia Sanborn, Sumit Bam Shrestha, Friedrich T. Sommer, Mike Davies
Efficient Neuromorphic Signal Processing with Loihi 2. SiPS (2021)
Edward Paxon Frady, Denis Kleyko, Christopher J. Kymn, Bruno A. Olshausen, Friedrich T. Sommer
Computing on Functions Using Randomized Vector Representations. CoRR (2021)
Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs. CoRR (2020)
Edward Paxon Frady, Garrick Orchard, David Florey, Nabil Imam, Ruokun Liu, Joyesh Mishra, Jonathan Tse, Andreas Wild, Friedrich T. Sommer, Mike Davies
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs. NICE (2020)
Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
Resonator networks for factoring distributed representations of data structures. CoRR (2020)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Variable Binding for Sparse Distributed Representations: Theory and Applications. CoRR (2020)
Denis Kleyko, Antonello Rosato, Edward Paxon Frady, Massimo Panella, Friedrich T. Sommer
Perceptron Theory for Predicting the Accuracy of Neural Networks. CoRR (2020)
Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. CoRR (2020)
Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods. Neural Comput. 32 (12) (2020)
Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. 32 (12) (2020)
Spencer J. Kent, Edward Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
Resonator Circuits for factoring high-dimensional vectors. CoRR (2019)
Edward Paxon Frady, Friedrich T. Sommer
Robust computation with rhythmic spike patterns. CoRR (2019)
Denis Kleyko, Mansour Kheffache, Edward Paxon Frady, Urban Wiklund, Evgeny Osipov
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks. CoRR (2019)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. Neural Comput. 30 (6) (2018)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
A theory of sequence indexing and working memory in recurrent neural networks. CoRR (2018)
Edward Paxon Frady, Denis Kleyko, Friedrich T. Sommer
Theory of the superposition principle for randomized connectionist representations in neural networks. CoRR (2017)
Abbas Rahimi, Sohum Datta, Denis Kleyko, Edward Paxon Frady, Bruno A. Olshausen, Pentti Kanerva, Jan M. Rabaey
High-Dimensional Computing as a Nanoscalable Paradigm. IEEE Trans. Circuits Syst. I Regul. Pap. (9) (2017)
Denis Kleyko, Edward Paxon Frady, Evgeny Osipov
Integer Echo State Networks: Hyperdimensional Reservoir Computing. CoRR (2017)
Edward Paxon Frady, Ashish Kapoor, Eric Horvitz, William B. Kristan Jr.
Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks. Neural Comput. 28 (8) (2016)
Ashish Kapoor, Edward Paxon Frady, Stefanie Jegelka, William B. Kristan Jr., Eric Horvitz
Inferring and Learning from Neuronal Correspondences. CoRR (2015)
Moran Cerf, Edward Paxon Frady, Christof Koch
Using semantic content as cues for better scanpath prediction. ETRA (2008)