NeurIPS 2023 Workshop MLNCP Submissions

Unleashing Hyperdimensional Computing with Nyström Method based Encoding
Quanling Zhao, Anthony Hitchcock Thomas, Xiaofan Yu, Tajana Rosing
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training
Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G Beausoleil, Zheng Zhang
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
A Green Granular Convolutional Neural Network with Software-FPGA Co-designed Learning
Yanqing Zhang, Huaiyuan Chu
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Neural Deep Operator Networks representation of Coherent Ising Machine Dynamics
Arsalan Taassob, Davide Venturelli, Paul Aaron Lott
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo
Ziyi Wang, Yujie Chen, Ruqi Zhang, Qifan Song
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Diffractive Optical Neural Networks with Arbitrary Spatial Coherence
Matthew J. Filipovich, Aleksei Malyshev, Alexander Lvovsky
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Squeezed Edge YOLO: Onboard Object Detection on Edge Devices
Edward Steven Humes, Mozhgan Navardi, Tinoosh Mohsenin
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Beyond Digital: Harnessing Analog Hardware for Machine Learning
Marvin Syed, Kirill Kalinin, Natalia Berloff
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
A Lagrangian Perspective on Dual Propagation
Rasmus Høier, Christopher Zach
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Oral
- Readers: Everyone
Scaling of Optical Transformers
Maxwell Anderson, Shi-Yuan Ma, Tianyu Wang, Logan G. Wright, Peter McMahon
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Oral
- Readers: Everyone
Expanding Spiking Neural Networks With Dendrites for Deep Learning
Mark Plagge, Suma G Cardwell, Frances S. Chance
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Energy-Based Learning Algorithms for Analog Computing: A Comparative Study
Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
Hector Andres Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Hauke Langer, Chen Liu, Matthias Aleander Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Oral
- Readers: Everyone
Device Codesign using Reinforcement Learning and Evolutionary Optimization
Catherine Schuman, Suma G Cardwell, Karan P. Patel, J. Darby Smith, Jared Arzate, Andrew Maicke, Samuel Liu, Jaesuk Kwon, Jean Anne Incorvia
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
The Benefits of Self-Supervised Learning for Training Physical Neural Networks
Jeremie Laydevant, Peter McMahon, Davide Venturelli, Paul Aaron Lott
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Biologically-plausible hierarchical chunking on mixed-signal neuromorphic hardware
Atilla Schreiber, Shuchen Wu, Chenxi Wu, Giacomo Indiveri, Eric Schulz
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
PhyFF: Physical forward forward algorithm for in-hardware training and inference
Ali Momeni, Babak Rahmani, Matthieu Malléjac, Philipp del Hougne, Romain Fleury
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Thermodynamic AI and Thermodynamic Linear Algebra
Patrick J. Coles, Maxwell Aifer, Kaelan Donatella, Denis Melanson, Max Hunter Gordon, Thomas Dybdahl Ahle, Daniel Simpson, Gavin Crooks, Antonio J Martinez, Faris Mouti Sbahi
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Scaling-up Memristor Monte Carlo with magnetic domain-wall physics
Thomas Dalgaty, Shogo Yamada, Anca Molnos, Eiji Kawasaki, Thomas Mesquida, Rummens François, TATSUO SHIBATA, Yukihiro Urakawa, Yukio Terasaki, Tomoyuki Sasaki, Marc Duranton
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Oral
- Readers: Everyone
Frequency propagation: Multi-mechanism learning in nonlinear physical networks
Vidyesh Rao Anisetti, Ananth Kandala, Benjamin Scellier, J. M. Schwarz
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, Anand Subramoney
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
Shuvro Chowdhury, Shaila Niazi, Kerem Camsari
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Neuromorphic Co-Design as a Game
Craig Vineyard, William Severa, James Aimone
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
The Data Conversion Bottleneck in Analog Computing Accelerators
James Meech, Vasileios Tsoutsouras, Phillip Stanley-Marbell
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone
Nonlinear Classification Without a Processor
Sam Dillavou, Benjamin Beyer, Menachem Stern, Marc Miskin, Andrea Liu, Douglas Durian
- Published: 01 Nov 2023, Last Modified: 22 Dec 2023
- MLNCP Poster
- Readers: Everyone