On the piecewise analysis of networks of linear threshold neurons. - Richard H. R. Hahnloser (Neural Networks, 1998)

Computation in recurrent networks of linear threshold neurons: theory, simulation and hardware implementation. - Richard H. R. Hahnloser (1998)

Integrating Neuromorphic Action-Oriented Perceptual Inputs to Generate a Navigation Behaviour for a Robot. - Regina Mudra; Richard H. R. Hahnloser; Rodney J. Douglas (Int. J. Neural Syst., 1999)

Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. - Richard H. R. Hahnloser; H. Sebastian Seung (NIPS, 2000)

Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. - Xiaohui Xie; Richard H. R. Hahnloser; H. Sebastian Seung (NIPS, 2000)

A theory of neural integration in the head-direction system. - Richard H. R. Hahnloser; Xiaohui Xie; H. Sebastian Seung (NIPS, 2001)

Silicon synaptic depression. - Christoph Rasche 001; Richard H. R. Hahnloser (Biol. Cybern., 2001)

Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control. - Richard H. R. Hahnloser; Rodney J. Douglas; Klaus Hepp (Neural Comput., 2002)

Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. - Xiaohui Xie; Richard H. R. Hahnloser; H. Sebastian Seung (Neural Comput., 2002)

Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. - Richard H. R. Hahnloser; H. Sebastian Seung; Jean-Jacques E. Slotine (Neural Comput., 2003)

Efficient estimation of hidden state dynamics from spike trains. - Márton Danóczy; Richard H. R. Hahnloser (NIPS, 2005)

Cross-intensity functions and the estimate of spike-time jitter. - Richard H. R. Hahnloser (Biol. Cybern., 2007)

Spike Correlations in a Songbird Agree with a Simple Markov Population Model. - Andrea P. Weber; Richard H. R. Hahnloser (PLoS Comput. Biol., 2007)

Dynamic Alignment Models for Neural Coding. - Sepp Kollmorgen; Richard H. R. Hahnloser (PLoS Comput. Biol., 2014)

Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone. - Saurabh Bhargava; Florian Blättler; Sepp Kollmorgen; Shih-Chii Liu; Richard H. R. Hahnloser (Neural Comput., 2015)

Eye-Trace: Segmentation of Volumetric Microscopy Images with Eyegaze. - Thomas Templier; Kenan Bektas; Richard H. R. Hahnloser (CHI, 2016)

Monaural Source Separation Using a Random Forest Classifier. - Cosimo Riday; Saurabh Bhargava; Richard H. R. Hahnloser; Shih-Chii Liu (INTERSPEECH, 2016)

Character-level Chinese-English Translation through ASCII Encoding. - Nikola I. Nikolov; Yuhuang Hu; Mi Xue Tan; Richard H. R. Hahnloser (WMT, 2018)

Data-driven Summarization of Scientific Articles. - Nikola I. Nikolov; Michael Pfeiffer 001; Richard H. R. Hahnloser (CoRR, 2018)

wubi2en: Character-level Chinese-English Translation through ASCII Encoding. - Mi Xue Tan; Yuhuang Hu; Nikola I. Nikolov; Richard H. R. Hahnloser (CoRR, 2018)

Large-scale Hierarchical Alignment for Author Style Transfer. - Nikola I. Nikolov; Richard H. R. Hahnloser (CoRR, 2018)

Summary Refinement through Denoising. - Nikola I. Nikolov; Alessandro Calmanovici; Richard H. R. Hahnloser (RANLP, 2019)

Large-Scale Hierarchical Alignment for Data-driven Text Rewriting. - Nikola I. Nikolov; Richard H. R. Hahnloser (RANLP, 2019)

Character-Level Translation with Self-attention. - Yingqiang Gao; Nikola I. Nikolov; Yuhuang Hu; Richard H. R. Hahnloser (ACL, 2020)

Embedding-based Scientific Literature Discovery in a Text Editor Application. - Onur Gökçe; Jonathan Prada; Nikola I. Nikolov; Nianlong Gu; Richard H. R. Hahnloser (ACL (demo), 2020)

Abstractive Document Summarization without Parallel Data. - Nikola I. Nikolov; Richard H. R. Hahnloser (LREC, 2020)

Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes. - Thanuja D. Ambegoda; Julien N. P. Martel; Jozef Adamcik; Matthew Cook 001; Richard H. R. Hahnloser (CoRR, 2020)

Nearest neighbours reveal fast and slow components of motor learning. - Sepp Kollmorgen; Richard H. R. Hahnloser; Valerio Mante (Nat., 2020)

MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes. - Nianlong Gu; Elliott Ash; Richard H. R. Hahnloser (ACL (1), 2022)

Do Discourse Indicators Reflect the Main Arguments in Scientific Papers? - Yingqiang Gao; Nianlong Gu; Jessica Lam; Richard H. R. Hahnloser (ArgMining@COLING, 2022)

Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-Based Reranking. - Nianlong Gu; Yingqiang Gao; Richard H. R. Hahnloser (ECIR (1), 2022)

Controllable Citation Text Generation. - Nianlong Gu; Richard H. R. Hahnloser (CoRR, 2022)

Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentation. - Corinna Lorenz; Xinyu Hao; Tomas Tomka; Linus Rüttimann; Richard H. R. Hahnloser (Frontiers Bioinform., 2022)

SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation. - Nianlong Gu; Richard H. R. Hahnloser (ACL (demo), 2023)

GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. - Yingqiang Gao; Jessica Lam; Nianlong Gu; Richard H. R. Hahnloser (EMNLP, 2023)

Balanced Deep CCA for Bird Vocalization Detection. - Sumit Kumar; B. Anshuman; Linus Rüttimann; Richard H. R. Hahnloser; Vipul Arora 001 (ICASSP, 2023)

TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification. - Lukas Schulthess; Steven Marty; Matilde Dirodi; Mariana D. Rocha; Linus Rüttimann; Richard H. R. Hahnloser; Michele Magno (ISCAS, 2023)

Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. - Yingqiang Gao; Jessica Lam; Nianlong Gu; Richard H. R. Hahnloser (CoRR, 2023)

MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering. - Nianlong Gu; Yingqiang Gao; Richard H. R. Hahnloser (CoRR, 2023)

Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts. - Yingqiang Gao; Nianlong Gu; Jessica Lam; James Henderson; Richard H. R. Hahnloser (EACL (2), 2024)

Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection. - Nianlong Gu; Kanghwi Lee; Maris Basha; Sumit Kumar Ram; Guanghao You; Richard H. R. Hahnloser (ICASSP, 2024)

MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions. - Yingqiang Gao; Jhony Prada; Nianlong Gu; Jessica Lam; Richard H. R. Hahnloser (CoRR, 2024)