Konrad P. Kording

Affiliations:
  • University of Pennsylvania, Department of Neuroscience, Philadelphia, PA, USA
  • Northwestern University, Rehabilitation Institute of Chicago, IL, USA


According to our database1, Konrad P. Kording authored at least 91 papers between 2000 and 2021.

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Bibliography

2021
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?
Neural Comput., 2021

Object Based Attention Through Internal Gating.
CoRR, 2021

2020
Pyglmnet: Python implementation of elastic-net regularized generalized linear models.
J. Open Source Softw., 2020

Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset.
J. Open Source Softw., 2020

An adversarial algorithm for variational inference with a new role for acetylcholine.
CoRR, 2020

PDE constraints on smooth hierarchical functions computed by neural networks.
CoRR, 2020

MoVi: A Large Multipurpose Motion and Video Dataset.
CoRR, 2020

Reverse-engineering deep ReLU networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to solve the credit assignment problem.
Proceedings of the 8th International Conference on Learning Representations, 2020

Spike-based causal inference for weight alignment.
Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Automated Emotion Classification of Atypically and Typically Developing Infants.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019
On Functions Computed on Trees.
Neural Comput., 2019

Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course.
Neural Comput., 2019

Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Quantifying How Staining Methods Bias Measurements of Neuron Morphologies.
Frontiers Neuroinformatics, 2019

End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition.
CoRR, 2019

Identifying Weights and Architectures of Unknown ReLU Networks.
CoRR, 2019

Movement science needs different pose tracking algorithms.
CoRR, 2019

What does it mean to understand a neural network?
CoRR, 2019

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning.
CoRR, 2019

Tackling Climate Change with Machine Learning.
CoRR, 2019

Rarely-switching linear bandits: optimization of causal effects for the real world.
CoRR, 2019

Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

Measuring and regularizing networks in function space.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Linear-nonlinear-time-warp-poisson models of neural activity.
J. Comput. Neurosci., 2018

Modern Machine Learning as a Benchmark for Fitting Neural Responses.
Frontiers Comput. Neurosci., 2018

Towards learning-to-learn.
CoRR, 2018

The Roles of Supervised Machine Learning in Systems Neuroscience.
CoRR, 2018

The Social Structure of Consensus in Scientific Review.
CoRR, 2018

Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Pain: A Statistical Account.
PLoS Comput. Biol., 2017

Ten simple rules for structuring papers.
PLoS Comput. Biol., 2017

Could a Neuroscientist Understand a Microprocessor?
PLoS Comput. Biol., 2017

Nucleotide-time alignment for molecular recorders.
PLoS Comput. Biol., 2017

Efficient Multi-Person Pose Estimation with Provable Guarantees.
CoRR, 2017

Exploiting skeletal structure in computer vision annotation with Benders decomposition.
CoRR, 2017

Machine learning for neural decoding.
CoRR, 2017

Meaningless comparisons lead to false optimism in medical machine learning.
CoRR, 2017

2016
A Probabilistic Analysis of Muscle Force Uncertainty for Control.
IEEE Trans. Biomed. Eng., 2016

The Statistical Determinants of the Speed of Motor Learning.
PLoS Comput. Biol., 2016

Toward an Integration of Deep Learning and Neuroscience.
Frontiers Comput. Neurosci., 2016

The Development and Analysis of Integrated Neuroscience Data.
Frontiers Comput. Neurosci., 2016

From sample to knowledge: Towards an integrated approach for neuroscience discovery.
CoRR, 2016

Quantifying mesoscale neuroanatomy using X-ray microtomography.
CoRR, 2016

Science Concierge: A fast content-based recommendation system for scientific publications.
CoRR, 2016

Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Activity recognition in patients with lower limb impairments: Do we need training data from each patient?
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Deep networks for motor control functions.
Frontiers Comput. Neurosci., 2015

Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization.
CoRR, 2015

Self-Expressive Decompositions for Matrix Approximation and Clustering.
CoRR, 2015

The relationship between clinical, momentary, and sensor-based assessment of depression.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015

Similar trial-by-trial adaptation behavior across transhumeral amputees and able-bodied subjects.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

2014
Spatial information in large-scale neural recordings.
Frontiers Comput. Neurosci., 2014

A high-reproducibility and high-accuracy method for automated topic classification.
CoRR, 2014

The effect of powered prosthesis control signals on trial-by-trial adaptation to visual perturbations.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Statistical Analysis of Molecular Signal Recording.
PLoS Comput. Biol., 2013

Physical principles for scalable neural recording.
Frontiers Comput. Neurosci., 2013

Motion games improve balance control in stroke survivors: A preliminary study based on the principle of constraint-induced movement therapy.
Displays, 2013

2012
Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test.
IEEE Trans. Haptics, 2012

Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons.
PLoS Comput. Biol., 2012

Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function.
Frontiers Comput. Neurosci., 2012

Real-time fusion of gaze and EMG for a reaching neuroprosthesis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Of Toasters and Molecular Ticker Tapes.
PLoS Comput. Biol., 2011

Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects.
PLoS Comput. Biol., 2011

Inferring spike-timing-dependent plasticity from spike train data.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Sensor-fault tolerant control of a powered lower limb prosthesis by mixing mode-specific adaptive Kalman filters.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Dealing with noisy gaze information for a target-dependent neural decoder.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Discrete-time local dynamic programming.
Proceedings of the American Control Conference, 2011

2010
Self versus Environment Motion in Postural Control.
PLoS Comput. Biol., 2010

Uncertainty of feedback and state estimation determines the speed of motor adaptation.
Frontiers Comput. Neurosci., 2010

Mixture of time-warped trajectory models for movement decoding.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Bayesian Integration and Non-Linear Feedback Control in a Full-Body Motor Task.
PLoS Comput. Biol., 2009

Exploration and Exploitation During Sequential Search.
Cogn. Sci., 2009

Structural inference affects depth perception in the context of potential occlusion.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
A Probabilistic Model of Meetings That Combines Words and Discourse Features.
IEEE Trans. Speech Audio Process., 2008

2007
Comparing Bayesian models for multisensory cue combination without mandatory integration.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Multiple timescales and uncertainty in motor adaptation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Causal inference in sensorimotor integration.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Unsupervised Topic Modelling for Multi-Party Spoken Discourse.
Proceedings of the ACL 2006, 2006

2004
The world from a cat's perspective - statistics of natural videos.
Biol. Cybern., 2004

2003
Learning the Nonlinearity of Neurons from Natural Visual Stimuli.
Neural Comput., 2003

Sparse Spectrotemporal Coding of Sounds.
EURASIP J. Adv. Signal Process., 2003

Probabilistic Inference in Human Sensorimotor Processing.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Optimal Coding for Naturally Occurring Whisker Deflections.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Learning Multiple Feature Representations from Natural Image Sequences.
Proceedings of the Artificial Neural Networks, 2002

2001
Neurons with Two Sites of Synaptic Integration Learn Invariant Representations.
Neural Comput., 2001

Sites of Synaptic Integration.
J. Comput. Neurosci., 2001

Extracting Slow Subspaces from Natural Videos Leads to Complex Cells.
Proceedings of the Artificial Neural Networks, 2001

2000
A learning rule for dynamic recruitment and decorrelation.
Neural Networks, 2000

Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions.
J. Comput. Neurosci., 2000

Two Sites of Synaptic Integration: Relevant for Learning?
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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