NeurIPS 2023 Workshop MLNCP Submissions

Adjoint Method: The Connection between Analog-based Equilibrium Propagation Architectures and Neural ODEs
Mohamed Watfa, Alberto Garcia-Ortiz
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Hierarchy of the echo state property in quantum reservoir computing
Shumpei Kobayashi, Quoc Hoan Tran, Kohei Nakajima
- Published: 01 Nov 2023, Last Modified: 24 Jan 2024
- MLNCP Poster
- Readers: Everyone
Inference analysis of optical transformers
Xianxin Guo, Chenchen Wang, Djamshid Damry
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Bayesian Metaplasticity from Synaptic Uncertainty
Djohan Bonnet, Tifenn HIRTZLIN, Tarcisius Januel, Thomas Dalgaty, Damien Querlioz, Elisa Vianello
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Oral
- Readers: Everyone
Algebraic Design of Physical Computing System for Time-Series Generation
Mizuka Komatsu, Takaharu Yaguchi, Kohei Nakajima
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Emergent learning in physical systems as feedback-based aging in a glassy landscape
Vidyesh Rao Anisetti, Ananth Kandala, Jennifer Schwarz
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Towards low power cognitive load analysis using EEG signal: A neuromorphic computing approach
Dighanchal Banerjee, Sounak Dey, Debatri Chatterjee, Arpan Pal
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Virtual reservoir acceleration for CPU and GPU: Case study for coupled spin-torque oscillator reservoir
Thomas De Jong, Nozomi Akashi, Tomohiro Taniguchi, Hirofumi Notsu, Kohei Nakajima
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Contrastive power-efficient physical learning in resistor networks
Menachem Stern, Sam Dillavou, Dinesh Jayaraman, Douglas Durian, Andrea Liu
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone