OpenReview.net

Login

Back to NeurIPS

NeurIPS 2024 Workshop MLNCP Submissions

Loading

About OpenReview
Hosting a Venue
All Venues

Contact
Sponsors
Donate

FAQ
Terms of Use / Privacy Policy
News

About OpenReview
Hosting a Venue
All Venues
Sponsors
News

FAQ
Contact
Donate
Terms of Use
Privacy Policy

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview

Integrated Photonic Lattice Filter for Accelerating Deep Convolutional Networks
Matthew J. Filipovich, Folkert Horst, Bert Jan Offrein
- Published: 17 Oct 2024, Last Modified: 05 Dec 2024
- MLNCP Poster
- Readers: Everyone
Hardware-Algorithm Co-Design for Hyperdimensional Computing Based on Memristive System-on-Chip
Yi Huang, Alireza Jaberi Rad, Qiangfei Xia
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Poster
- Readers: Everyone
The Monte Carlo Method and New Device and Architectural Techniques for Accelerating It
NeurIPS 2024 Workshop MLNCP Submission26 Authors
- 11 Sept 2024 (modified: 17 Oct 2024)
- Submitted to MLNCP
- Readers: Everyone
Casting hybrid digital-analog training into hierarchical energy-based learning
Timothy Nest, Maxence Ernoult
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Oral
- Readers: Everyone
Universal approximation capabilities of coherent diffractive systems
Lennart Schlieder, Valentin Volchkov, Alexander Song, Peer Fischer, Bernhard Schölkopf
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Poster
- Readers: Everyone
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
Wenhao Hu, Paul Henderson, José Cano
- Published: 17 Oct 2024, Last Modified: 10 Dec 2024
- MLNCP Poster
- Readers: Everyone
Analog Gradient Calculation of Optical Activation Function Material
Jakub Kostial, Filipe M. Ferreira
- Published: 17 Oct 2024, Last Modified: 29 Nov 2024
- MLNCP Poster
- Readers: Everyone
N Multipliers for N Bits: Learning Bit Multipliers for Non-Uniform Quantization
Raghav Singhal, Anmol Biswas, Sivakumar Elangovan, Shreyas Sabnis, Udayan Ganguly
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Poster
- Readers: Everyone
MoQ: Mixture-of-format Activation Quantization for Communication-efficient AI Inference System
Haonan Wang, Zeli Liu, Chao Fang, John Paul Walters, Stephen P. Crago
- Published: 17 Oct 2024, Last Modified: 04 Dec 2024
- MLNCP Poster
- Readers: Everyone
Analog Computing for AI Sometimes Needs Correction by Digital Computing: Why and When
Changdae Kim, Daegun Yoon, Taehoon Kim, Yeonjeong Jeong, Kangho Kim, Kwangwon Koh, Eunji Pak
- Published: 17 Oct 2024, Last Modified: 07 Dec 2024
- MLNCP Poster
- Readers: Everyone
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
Hadjer Benmeziane, Corey Lammie, Athanasios Vasilopoulos, Irem Boybat, Manuel Le Gallo, Hsinyu Tsai, Kaoutar El Maghraoui, Abu Sebastian
- Published: 17 Oct 2024, Last Modified: 04 Nov 2024
- MLNCP Poster
- Readers: Everyone
On the role of noise in factorizers for disentangling distributed representations
Geethan Karunaratne, Michael Hersche, Abu Sebastian, Abbas Rahimi
- Published: 17 Oct 2024, Last Modified: 01 Dec 2024
- MLNCP Poster
- Readers: Everyone
SLaNC: Static LayerNorm Calibration
Mahsa Salmani, Nikita Trukhanov, Ilya Soloveychik
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Poster
- Readers: Everyone
Event-based backpropagation on the neuromorphic platform SpiNNaker2
Gabriel Béna, Timo Wunderlich, Mahmoud Akl, Bernhard Vogginger, Christian Mayr, Hector Andres Gonzalez
- Published: 17 Oct 2024, Last Modified: 04 Dec 2024
- MLNCP Poster
- Readers: Everyone
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
Julian Büchel, William Andrew Simon, Corey Lammie, Giovanni Acampa, Kaoutar El Maghraoui, Manuel Le Gallo, Abu Sebastian
- Published: 17 Oct 2024, Last Modified: 23 Nov 2024
- MLNCP Poster
- Readers: Everyone
Quantum Diffusion Models for Few-Shot Learning
NeurIPS 2024 Workshop MLNCP Submission13 Authors
- 10 Sept 2024 (modified: 17 Oct 2024)
- Submitted to MLNCP
- Readers: Everyone
Deep activity propagation via weight initialization in spiking neural networks
Aurora Micheli, Olaf Booij, Jan van Gemert, Nergis Tomen
- Published: 17 Oct 2024, Last Modified: 02 Dec 2024
- MLNCP Poster
- Readers: Everyone
Nanowire Neural Networks for time-series processing
Veronica Pistolesi, Andrea Ceni, Claudio Gallicchio, Gianluca Milano, Carlo Ricciardi
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Poster
- Readers: Everyone
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Yongbo Zhang, Katsuma Inoue, Mitsumasa Nakajima, Toshikazu Hashimoto, Yasuo Kuniyoshi, Kohei Nakajima
- Published: 17 Oct 2024, Last Modified: 02 Dec 2024
- MLNCP Poster
- Readers: Everyone
Legendre-SNN on Loihi-2: Evaluation and Insights
Ramashish Gaurav, Terrence C. Stewart, Yang Yi
- Published: 17 Oct 2024, Last Modified: 25 Nov 2024
- MLNCP Poster
- Readers: Everyone
Improving Deep Learning Speed and Performance through Synaptic Neural Balance
Antonios Alexos, Ian Domingo, Pierre Baldi
- Published: 17 Oct 2024, Last Modified: 16 Apr 2025
- MLNCP Poster
- Readers: Everyone
Enabling On-Device Large Language Models with 3D-Stacked Memory
Lita Yang, Kavya Sreedhar, Huichu Liu, Edith Beigne
- Published: 17 Oct 2024, Last Modified: 03 Dec 2024
- MLNCP Poster
- Readers: Everyone
Direct Feedback Alignment for Recurrent Neural Networks
NeurIPS 2024 Workshop MLNCP Submission6 Authors
- 05 Sept 2024 (modified: 17 Oct 2024)
- Submitted to MLNCP
- Readers: Everyone
Quantum Equilibrium Propagation: gradient-descent training of quantum systems
Benjamin Scellier
- Published: 17 Oct 2024, Last Modified: 06 Dec 2024
- MLNCP Oral
- Readers: Everyone
A fast algorithm to simulate nonlinear resistive networks
Benjamin Scellier
- Published: 17 Oct 2024, Last Modified: 03 Nov 2024
- MLNCP Poster
- Readers: Everyone

«
‹
1
2
3
›
»