Richard H. R. Hahnloser

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 34

Top Topics

Normalized Mutual Information

Microscopy Images

Extractive Summarization

Gaussian Process

Top Venues

Publications

Nianlong Gu, Kanghwi Lee, Maris Basha, Sumit Kumar Ram, Guanghao You, Richard H. R. Hahnloser
Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection. ICASSP (2024)
Yingqiang Gao, Nianlong Gu, Jessica Lam, James Henderson, Richard H. R. Hahnloser
Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts. EACL (2) (2024)
Nianlong Gu, Richard H. R. Hahnloser
SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation. ACL (demo) (2023)
Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser
Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. CoRR (2023)
Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser
MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering. CoRR (2023)
Sumit Kumar, B. Anshuman, Linus Rüttimann, Richard H. R. Hahnloser, Vipul Arora
Balanced Deep CCA for Bird Vocalization Detection. ICASSP (2023)
Nianlong Gu, Richard H. R. Hahnloser
SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation. CoRR (2023)
Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser
GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. EMNLP (2023)
Lukas Schulthess, Steven Marty, Matilde Dirodi, Mariana D. Rocha, Linus Rüttimann, Richard H. R. Hahnloser, Michele Magno
TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification. ISCAS (2023)
Nianlong Gu, Richard H. R. Hahnloser
Controllable Citation Text Generation. CoRR (2022)
Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes. ACL (1) (2022)
Yingqiang Gao, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser
Do Discourse Indicators Reflect the Main Arguments in Scientific Papers? ArgMining@COLING (2022)
Sumit Kumar, B. Anshuman, Linus Ruettimann, Richard H. R. Hahnloser, Vipul Arora
Balanced Deep CCA for Bird Vocalization Detection. CoRR (2022)
Corinna Lorenz, Xinyu Hao, Tomas Tomka, Linus Ruettimann, Richard H. R. Hahnloser
Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentation. Frontiers Bioinform. 2 (2022)
Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-Based Reranking. ECIR (1) (2022)
Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking. CoRR (2021)
Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser
MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes. CoRR (2021)
Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser
Character-Level Translation with Self-attention. CoRR (2020)
Thanuja D. Ambegoda, Julien N. P. Martel, Jozef Adamcik, Matthew Cook, Richard H. R. Hahnloser
Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes. CoRR (2020)
Nikola I. Nikolov, Richard H. R. Hahnloser
Abstractive Document Summarization without Parallel Data. LREC (2020)
Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser
Character-Level Translation with Self-attention. ACL (2020)
Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu, Richard H. R. Hahnloser
Embedding-based Scientific Literature Discovery in a Text Editor Application. ACL (demo) (2020)
Sepp Kollmorgen, Richard H. R. Hahnloser, Valerio Mante
Nearest neighbours reveal fast and slow components of motor learning. Nat. 577 (7791) (2020)
Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu, Richard H. R. Hahnloser
Embedding-based Scientific Literature Discovery in a Text Editor Application. CoRR (2020)
Nikola I. Nikolov, Richard H. R. Hahnloser
Large-Scale Hierarchical Alignment for Data-driven Text Rewriting. RANLP (2019)
Nikola I. Nikolov, Alessandro Calmanovici, Richard H. R. Hahnloser
Summary Refinement through Denoising. CoRR (2019)
Nikola I. Nikolov, Alessandro Calmanovici, Richard H. R. Hahnloser
Summary Refinement through Denoising. RANLP (2019)
Nikola I. Nikolov, Richard H. R. Hahnloser
Abstractive Document Summarization without Parallel Data. CoRR (2019)
Mi Xue Tan, Yuhuang Hu, Nikola I. Nikolov, Richard H. R. Hahnloser
wubi2en: Character-level Chinese-English Translation through ASCII Encoding. CoRR (2018)
Nikola I. Nikolov, Richard H. R. Hahnloser
Large-scale Hierarchical Alignment for Author Style Transfer. CoRR (2018)
Nikola I. Nikolov, Yuhuang Hu, Mi Xue Tan, Richard H. R. Hahnloser
Character-level Chinese-English Translation through ASCII Encoding. WMT (2018)
Nikola I. Nikolov, Michael Pfeiffer, Richard H. R. Hahnloser
Data-driven Summarization of Scientific Articles. CoRR (2018)
Thomas Templier, Kenan Bektas, Richard H. R. Hahnloser
Eye-Trace: Segmentation of Volumetric Microscopy Images with Eyegaze. CHI (2016)
Cosimo Riday, Saurabh Bhargava, Richard H. R. Hahnloser, Shih-Chii Liu
Monaural Source Separation Using a Random Forest Classifier. INTERSPEECH (2016)
Saurabh Bhargava, Florian Blättler, Sepp Kollmorgen, Shih-Chii Liu, Richard H. R. Hahnloser
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone. Neural Comput. 27 (10) (2015)
Sepp Kollmorgen, Richard H. R. Hahnloser
Dynamic Alignment Models for Neural Coding. PLoS Comput. Biol. 10 (3) (2014)
Richard H. R. Hahnloser
Cross-intensity functions and the estimate of spike-time jitter. Biol. Cybern. 96 (5) (2007)
Andrea P. Weber, Richard H. R. Hahnloser
Spike Correlations in a Songbird Agree with a Simple Markov Population Model. PLoS Comput. Biol. 3 (12) (2007)
Márton Danóczy, Richard H. R. Hahnloser
Efficient estimation of hidden state dynamics from spike trains. NIPS (2005)
Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. Neural Comput. 15 (3) (2003)
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung
Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. Neural Comput. 14 (11) (2002)
Richard H. R. Hahnloser, Rodney J. Douglas, Klaus Hepp
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control. Neural Comput. 14 (7) (2002)
Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian Seung
A theory of neural integration in the head-direction system. NIPS (2001)
Christoph Rasche, Richard H. R. Hahnloser
Silicon synaptic depression. Biol. Cybern. 84 (1) (2001)
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. NIPS (2000)
Richard H. R. Hahnloser, H. Sebastian Seung
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. NIPS (2000)
Regina Mudra, Richard H. R. Hahnloser, Rodney J. Douglas
Integrating Neuromorphic Action-Oriented Perceptual Inputs to Generate a Navigation Behaviour for a Robot. Int. J. Neural Syst. 9 (5) (1999)
Richard H. R. Hahnloser
On the piecewise analysis of networks of linear threshold neurons. Neural Networks 11 (4) (1998)