Modern Hopfield Networks and Attention for Immune Repertoire Classification

16 July 2020

Johannes Brandstetter

Papers citing "Modern Hopfield Networks and Attention for Immune Repertoire Classification"

49 / 49 papers shown

Title
Binding threshold units with artificial oscillatory neurons V. Fanaskov Ivan V. Oseledets 37 0 0 06 May 2025
Neural Learning Rules from Associative Networks Theory Daniele Lotito 34 0 0 11 Mar 2025
Contrastive Abstraction for Reinforcement Learning Vihang Patil M. Hofmarcher Elisabeth Rumetshofer Sepp Hochreiter OffRL SSL 19 1 0 01 Oct 2024
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations Satyananda Kashyap N. S. D'Souza Luyao Shi Ken C. L. Wong Hongzhi Wang T. Syeda-Mahmood 19 0 0 24 Sep 2024
Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking Ryo Karakida Toshihiro Ota Masato Taki 19 2 0 18 Jun 2024
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action Zhenyu Pan Haozheng Luo Manling Li Han Liu LRM 22 10 0 28 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 26 8 0 14 May 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model Chenwei Xu Yu-Chao Huang Jerry Yao-Chieh Hu Weijian Li Ammar Gilani H. Goan Han Liu 24 19 0 04 Apr 2024
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models Jerry Yao-Chieh Hu Pei-Hsuan Chang Haozheng Luo Hong-Yu Chen Weijian Li Wei-Po Wang Han Liu 18 25 0 04 Apr 2024
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models Dennis Wu Jerry Yao-Chieh Hu Teng-Yun Hsiao Han Liu 20 28 0 04 Apr 2024
Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline Xiao Wang Ju Huang Shiao Wang Chuanming Tang Bowei Jiang Yonghong Tian Jin Tang Bin Luo 28 3 0 09 Mar 2024
CoRMF: Criticality-Ordered Recurrent Mean Field Ising Solver Zhenyu Pan Ammar Gilani En-Jui Kuo Zhuo Liu LRM 29 4 0 05 Mar 2024
Dense Hopfield Networks in the Teacher-Student Setting Robin Thériault Daniele Tantari AAML 9 3 0 08 Jan 2024
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction Dennis Wu Jerry Yao-Chieh Hu Weijian Li Bo-Yu Chen Han Liu AI4TS 12 12 0 28 Dec 2023
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests Edward Raff James Holt 14 2 0 27 Oct 2023
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models Benjamin Hoover Hendrik Strobelt Dmitry Krotov Judy Hoffman Z. Kira Duen Horng Chau DiffM 12 4 0 28 Sep 2023
On Sparse Modern Hopfield Model Jerry Yao-Chieh Hu Donglin Yang Dennis Wu Chenwei Xu Bo-Yu Chen Han Liu VLM 20 28 0 22 Sep 2023
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification Xiao Yuan 11 1 0 05 Sep 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Mingcai Chen Yu Zhao Zhonghuang Wang Bing He Jianhua Yao 14 2 0 29 Jul 2023
Learning to Modulate pre-trained Models in RL Thomas Schmied M. Hofmarcher Fabian Paischer Razvan Pascanu Sepp Hochreiter CLL OffRL 11 4 0 26 Jun 2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference Boyan Li Luziwei Leng Shuaijie Shen Kaixuan Zhang Jianguo Zhang Jianxing Liao Ran Cheng 6 7 0 21 Jun 2023
Simplicial Hopfield networks Thomas F Burns T. Fukai 20 11 0 09 May 2023
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier Niranjani Prasad Paidamoyo Chapfuwa Sahra Ghalebikesabi Maximilian Ilse ... R. Elyanow Javier Zazo Javier González J. Greissl Edward Meeds 14 7 0 26 Apr 2023
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer Toshihiro Ota Masato Taki 11 2 0 25 Apr 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter G. Klambauer 39 26 0 24 Apr 2023
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks Shizhen Chang Michael K Kopp Pedram Ghamisi Bo Du 6 5 0 03 Apr 2023
Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer M. Gauch D. Klotz Sepp Hochreiter AI4TS 6 16 0 22 Mar 2023
On Pre-trained Language Models for Antibody Danqing Wang Fei Ye Zhou Hao 14 7 0 28 Jan 2023
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Jie Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 11 4 0 14 Jan 2023
Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit Arjun Karuvally T. Sejnowski H. Siegelmann 25 3 0 11 Dec 2022
Sequence Learning Using Equilibrium Propagation Malyaban Bal Abhronil Sengupta 14 8 0 14 Sep 2022
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences Younghoon Kim Tao Wang Danyi Xiong Xinlei Wang S. Park 10 5 0 09 Aug 2022
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks Yonghao Xu Weikang Yu Pedram Ghamisi Michael K Kopp Sepp Hochreiter 11 31 0 08 Aug 2022
Hopular: Modern Hopfield Networks for Tabular Data Bernhard Schafl Lukas Gruber Angela Bitto-Nemling Sepp Hochreiter LMTD 10 27 0 01 Jun 2022
History Compression via Language Models in Reinforcement Learning Fabian Paischer Thomas Adler Vihang Patil Angela Bitto-Nemling Markus Holzleitner Sebastian Lehner Hamid Eghbalzadeh Sepp Hochreiter OffRL AI4TS 6 34 0 24 May 2022
BayesPCN: A Continually Learnable Predictive Coding Associative Memory Jason Yoo F. Wood KELM 77 9 0 20 May 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 176 101 0 21 Oct 2021
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 8 52 0 16 Sep 2021
Hierarchical Associative Memory Dmitry Krotov BDL 81 22 0 14 Jul 2021
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction Philipp Seidl Philipp Renz N. Dyubankova Paulo Neves Jonas Verhoeven Marwin H. S. Segler J. Wegner Sepp Hochreiter G. Klambauer 20 17 0 07 Apr 2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications P. M. Winter Sebastian K. Eder J. Weissenbock Christoph Schwald Thomas Doms Tom Vogt Sepp Hochreiter Bernhard Nessler 21 19 0 31 Mar 2021
Open-Ended Multi-Modal Relational Reasoning for Video Question Answering Haozheng Luo Ruiyang Qin Chenwei Xu Guo Ye Zening Luo 27 4 0 01 Dec 2020
Large Associative Memory Problem in Neurobiology and Machine Learning Dmitry Krotov J. Hopfield 14 95 0 16 Aug 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp G. Klambauer Johannes Brandstetter Sepp Hochreiter 12 326 0 16 Jul 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 8 146 0 16 Mar 2020
Question Classification with Deep Contextualized Transformer Haozheng Luo Ningwei Liu Charles Feng 30 2 0 17 Oct 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 225 2,069 0 24 Jun 2017
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning Oren Z. Kraus Lei Jimmy Ba B. Frey 135 390 0 17 Nov 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 237 7,597 0 03 Jul 2012