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Richard H. R. Hahnloser
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- affiliation: ETH Zurich, Switzerland
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2020 – today
- 2024
- [c21]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: 151-160 - [c20]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: 7505-7509 - [i16]Yingqiang Gao, Jhony Prada, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser:
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions. CoRR abs/2408.14623 (2024) - 2023
- [c19]Nianlong Gu
, Richard H. R. Hahnloser:
SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation. ACL (demo) 2023: 235-246 - [c18]Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser
GreedyCAS: Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. EMNLP 2023: 6093-6108 - [c17]Sumit Kumar, B. Anshuman, Linus Rüttimann, Richard H. R. Hahnloser
Balanced Deep CCA for Bird Vocalization Detection. ICASSP 2023: 1-5 - [c16]Lukas Schulthess, Steven Marty
TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification. ISCAS 2023: 1-5 - [i15]Yingqiang Gao, Jessica Lam, Nianlong Gu, Richard H. R. Hahnloser:
Unsupervised Scientific Abstract Segmentation with Normalized Mutual Information. CoRR abs/2305.11553 (2023) - [i14]Nianlong Gu, Richard H. R. Hahnloser:
SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation. CoRR abs/2306.03535 (2023) - [i13]Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser:
MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering. CoRR abs/2310.06436 (2023) - 2022
- [j12]Corinna Lorenz, Xinyu Hao, Tomas Tomka, Linus Rüttimann, 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) - [c15]Nianlong Gu
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes. ACL (1) 2022: 6507-6522 - [c14]Yingqiang Gao, Nianlong Gu, Jessica Lam, Richard H. R. Hahnloser:
Do Discourse Indicators Reflect the Main Arguments in Scientific Papers? ArgMining@COLING 2022: 34-50 - [c13]Nianlong Gu
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-Based Reranking. ECIR (1) 2022: 274-288 - [i12]Nianlong Gu, Richard H. R. Hahnloser:
Controllable Citation Text Generation. CoRR abs/2211.07066 (2022) - [i11]Sumit Kumar, B. Anshuman, Linus Rüttimann, Richard H. R. Hahnloser
Balanced Deep CCA for Bird Vocalization Detection. CoRR abs/2211.09376 (2022) - 2021
- [i10]Nianlong Gu, Elliott Ash, Richard H. R. Hahnloser:
MemSum: Extractive Summarization of Long Documents using Multi-step Episodic Markov Decision Processes. CoRR abs/2107.08929 (2021) - [i9]Nianlong Gu, Yingqiang Gao, Richard H. R. Hahnloser:
Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking. CoRR abs/2112.01206 (2021) - 2020
- [j11]Sepp Kollmorgen, Richard H. R. Hahnloser
Nearest neighbours reveal fast and slow components of motor learning. Nat. 577(7791): 526-530 (2020) - [c12]Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu
Embedding-based Scientific Literature Discovery in a Text Editor Application. ACL (demo) 2020: 320-326 - [c11]Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser:
Character-Level Translation with Self-attention. ACL 2020: 1591-1604 - [c10]Nikola I. Nikolov, Richard H. R. Hahnloser:
Abstractive Document Summarization without Parallel Data. LREC 2020: 6638-6644 - [i8]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 abs/2002.00228 (2020) - [i7]Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu, Richard H. R. Hahnloser:
Character-Level Translation with Self-attention. CoRR abs/2004.14788 (2020) - [i6]Onur Gökçe, Jonathan Prada, Nikola I. Nikolov, Nianlong Gu, Richard H. R. Hahnloser:
Embedding-based Scientific Literature Discovery in a Text Editor Application. CoRR abs/2005.04961 (2020)
2010 – 2019
- 2019
- [c9]Nikola I. Nikolov, Alessandro Calmanovici, Richard H. R. Hahnloser:
Summary Refinement through Denoising. RANLP 2019: 837-843 - [c8]Nikola I. Nikolov, Richard H. R. Hahnloser:
Large-Scale Hierarchical Alignment for Data-driven Text Rewriting. RANLP 2019: 844-853 - [i5]Nikola I. Nikolov, Alessandro Calmanovici, Richard H. R. Hahnloser:
Summary Refinement through Denoising. CoRR abs/1907.10873 (2019) - [i4]Nikola I. Nikolov, Richard H. R. Hahnloser:
Abstractive Document Summarization without Parallel Data. CoRR abs/1907.12951 (2019) - 2018
- [c7]Nikola I. Nikolov, Yuhuang Hu, Mi Xue Tan
Character-level Chinese-English Translation through ASCII Encoding. WMT 2018: 10-16 - [i3]Nikola I. Nikolov, Michael Pfeiffer, Richard H. R. Hahnloser:
Data-driven Summarization of Scientific Articles. CoRR abs/1804.08875 (2018) - [i2]Mi Xue Tan, Yuhuang Hu, Nikola I. Nikolov, Richard H. R. Hahnloser:
wubi2en: Character-level Chinese-English Translation through ASCII Encoding. CoRR abs/1805.03330 (2018) - [i1]Nikola I. Nikolov, Richard H. R. Hahnloser:
Large-scale Hierarchical Alignment for Author Style Transfer. CoRR abs/1810.08237 (2018) - 2016
- [c6]Thomas Templier
Eye-Trace: Segmentation of Volumetric Microscopy Images with Eyegaze. CHI 2016: 5812-5823 - [c5]Cosimo Riday, Saurabh Bhargava, Richard H. R. Hahnloser
Monaural Source Separation Using a Random Forest Classifier. INTERSPEECH 2016: 3344-3348 - 2015
- [j10]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): 2231-2259 (2015) - 2014
- [j9]Sepp Kollmorgen, Richard H. R. Hahnloser
Dynamic Alignment Models for Neural Coding. PLoS Comput. Biol. 10(3) (2014)
2000 – 2009
- 2007
- [j8]Richard H. R. Hahnloser
Cross-intensity functions and the estimate of spike-time jitter. Biol. Cybern. 96(5): 497-506 (2007) - [j7]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) - 2005
- [c4]Márton Danóczy, Richard H. R. Hahnloser:
Efficient estimation of hidden state dynamics from spike trains. NIPS 2005: 227-234 - 2003
- [j6]Richard H. R. Hahnloser
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. Neural Comput. 15(3): 621-638 (2003) - 2002
- [j5]Richard H. R. Hahnloser
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control. Neural Comput. 14(7): 1669-1689 (2002) - [j4]Xiaohui Xie, Richard H. R. Hahnloser
Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. Neural Comput. 14(11): 2627-2646 (2002) - 2001
- [j3]Christoph Rasche, Richard H. R. Hahnloser
Silicon synaptic depression. Biol. Cybern. 84(1): 57-62 (2001) - [c3]Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian Seung:
A theory of neural integration in the head-direction system. NIPS 2001: 221-228 - 2000
- [c2]Richard H. R. Hahnloser, H. Sebastian Seung:
Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. NIPS 2000: 217-223 - [c1]Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung:
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. NIPS 2000: 350-356
1990 – 1999
- 1999
- [j2]Regina Mudra, Richard H. R. Hahnloser
Integrating Neuromorphic Action-Oriented Perceptual Inputs to Generate a Navigation Behaviour for a Robot. Int. J. Neural Syst. 9(5): 411-416 (1999) - 1998
- [b1]Richard H. R. Hahnloser:
Computation in recurrent networks of linear threshold neurons: theory, simulation and hardware implementation. ETH Zurich, Zürich, Switzerland, 1998 - [j1]Richard H. R. Hahnloser
On the piecewise analysis of networks of linear threshold neurons. Neural Networks 11(4): 691-697 (1998)
Coauthor Index
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