Konrad P. Körding

84 papers A* 3A 1C 4Journal 58Unranked 18

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	How gradient estimator variance and bias impact learning in neural networks. ICLR Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Körding, Blake Aaron Richards
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
2020	J	`jnl`	MoVi: A Large Multipurpose Motion and Video Dataset. CoRR Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad P. Körding, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje
2020	J	`jnl`	Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset. J. Open Source Softw. Titipat Achakulvisut, Daniel E. Acuna, Konrad P. Körding
2020	J	`jnl`	Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. Mainak Jas, Titipat Achakulvisut, Aid Idrizovic, Daniel E. Acuna, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley, Hugo Fernandes, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris C. Rodgers, Eva L. Dyer, Matti S. Hämäläinen, Konrad P. Körding, Pavan Ramkumar
2020	A*	`conf`	Spike-based causal inference for weight alignment. ICLR Jordan Guerguiev, Konrad P. Körding, Blake A. Richards
2020	—	`conf`	Towards Automated Emotion Classification of Atypically and Typically Developing Infants. BioRob Sofiya Lysenko, Nidhi Seethapathi, Laura Prosser, Konrad P. Körding, Michelle J. Johnson
2019	J	`jnl`	Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. CoRR Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding
2019	J	`jnl`	End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. CoRR Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony
2019	J	`jnl`	Identifying Weights and Architectures of Unknown ReLU Networks. CoRR David Rolnick, Konrad P. Körding
2019	J	`jnl`	Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Tony Liu, Jennifer Nicholas, Max-Marcel Theilig, Sharath Chandra Guntuku, Konrad P. Körding, David C. Mohr, Lyle H. Ungar
2019	—	`conf`	Measuring and regularizing networks in function space. ICLR (Poster) Ari S. Benjamin, David Rolnick, Konrad P. Körding
2019	J	`jnl`	Movement science needs different pose tracking algorithms. CoRR Nidhi Seethapathi, Shaofei Wang, Rachit Saluja, Gunnar Blohm, Konrad P. Körding
2019	J	`jnl`	On Functions Computed on Trees. Neural Comput. Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad P. Körding
2019	J	`jnl`	Rarely-switching linear bandits: optimization of causal effects for the real world. CoRR Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding
2019	J	`jnl`	Spike-based causal inference for weight alignment. CoRR Jordan Guerguiev, Konrad P. Körding, Blake A. Richards
2019	J	`jnl`	Tackling Climate Change with Machine Learning. CoRR David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
2019	J	`jnl`	Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course. Neural Comput. Gunnar Blohm, Paul Schrater, Konrad P. Körding
2019	J	`jnl`	What does it mean to understand a neural network? CoRR Timothy P. Lillicrap, Konrad P. Körding
2018	—	`conf`	Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. ECCV (14) Shaofei Wang, Alexander Ihler, Konrad P. Körding, Julian Yarkony
2018	J	`jnl`	Linear-nonlinear-time-warp-poisson models of neural activity. J. Comput. Neurosci. Patrick N. Lawlor, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
2018	J	`jnl`	Measuring and regularizing networks in function space. CoRR Ari S. Benjamin, David Rolnick, Konrad P. Körding
2018	J	`jnl`	Modern Machine Learning as a Benchmark for Fitting Neural Responses. Frontiers Comput. Neurosci. Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Körding
2018	J	`jnl`	The Roles of Supervised Machine Learning in Systems Neuroscience. CoRR Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Körding
2018	J	`jnl`	The Social Structure of Consensus in Scientific Review. CoRR Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans
2017	J	`jnl`	Machine learning for neural decoding. CoRR Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
2017	J	`jnl`	Meaningless comparisons lead to false optimism in medical machine learning. CoRR Orianna Demasi, Konrad P. Körding, Benjamin Recht
2017	J	`jnl`	Nucleotide-time alignment for molecular recorders. PLoS Comput. Biol. Thaddeus Cybulski, Edward S. Boyden, George M. Church, Keith E. J. Tyo, Konrad P. Körding
2017	J	`jnl`	Pain: A Statistical Account. PLoS Comput. Biol. Abby Tabor, Michael A. Thacker, G. Lorimer Moseley, Konrad P. Körding
2017	J	`jnl`	Ten simple rules for structuring papers. PLoS Comput. Biol. Brett Mensh, Konrad P. Körding
2016	J	`jnl`	A Probabilistic Analysis of Muscle Force Uncertainty for Control. IEEE Trans. Biomed. Eng. Max Berniker, Anthony M. Jarc, Konrad P. Körding, Matthew C. Tresch
2016	—	`conf`	Activity recognition in patients with lower limb impairments: Do we need training data from each patient? EMBC Luca Lonini, Aakash Gupta, Konrad P. Körding, Aran Jayaraman
2016	A	`conf`	Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. UAI Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding
2016	J	`jnl`	Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. CoRR Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding
2016	J	`jnl`	From sample to knowledge: Towards an integrated approach for neuroscience discovery. CoRR William R. Gray Roncal, Eva L. Dyer, Doga Gürsoy, Konrad P. Körding, Narayanan Kasthuri
2016	J	`jnl`	Quantifying mesoscale neuroanatomy using X-ray microtomography. CoRR Eva L. Dyer, William R. Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri
2016	J	`jnl`	Science Concierge: A fast content-based recommendation system for scientific publications. CoRR Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad P. Körding
2016	J	`jnl`	The Development and Analysis of Integrated Neuroscience Data. Frontiers Comput. Neurosci. Joshua I. Glaser, Konrad P. Körding
2016	J	`jnl`	The Statistical Determinants of the Speed of Motor Learning. PLoS Comput. Biol. Kang He, You Liang, Farnaz Abdollahi, Moria F. Bittmann, Konrad P. Körding, Kunlin Wei
2016	J	`jnl`	Toward an Integration of Deep Learning and Neuroscience. Frontiers Comput. Neurosci. Adam H. Marblestone, Greg Wayne, Konrad P. Körding
2015	J	`jnl`	Deep networks for motor control functions. Frontiers Comput. Neurosci. Max Berniker, Konrad P. Körding
2015	J	`jnl`	Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization. CoRR Joshua I. Glaser, Bradley M. Zamft, George M. Church, Konrad P. Körding
2015	J	`jnl`	Self-Expressive Decompositions for Matrix Approximation and Clustering. CoRR Eva L. Dyer, Tom Goldstein, Raajen Patel, Konrad P. Körding, Richard G. Baraniuk
2015	—	`conf`	Similar trial-by-trial adaptation behavior across transhumeral amputees and able-bodied subjects. NER Reva E. Johnson, Konrad P. Körding, Levi J. Hargrove, Jonathon W. Sensinger
2015	—	`conf`	The relationship between clinical, momentary, and sensor-based assessment of depression. PervasiveHealth Sohrab Saeb, Mi Zhang, Mary J. Kwasny, Christopher J. Karr, Konrad P. Körding, David C. Mohr
2014	J	`jnl`	A high-reproducibility and high-accuracy method for automated topic classification. CoRR Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel E. Acuna, Konrad P. Körding, Luís A. Nunes Amaral
2014	J	`jnl`	Spatial information in large-scale neural recordings. Frontiers Comput. Neurosci. Thaddeus Cybulski, Joshua I. Glaser, Adam Henry Marblestone, Bradley M. Zamft, Edward S. Boyden III, George M. Church, Konrad P. Körding
2014	—	`conf`	The effect of powered prosthesis control signals on trial-by-trial adaptation to visual perturbations. EMBC Reva E. Johnson, Konrad P. Körding, Levi J. Hargrove, Jonathon W. Sensinger
2013	J	`jnl`	Motion games improve balance control in stroke survivors: A preliminary study based on the principle of constraint-induced movement therapy. Displays Qicheng Ding, Ian H. Stevenson, Ninghua Wang, Wei Li, Yao Sun, Qining Wang, Konrad P. Körding, Kunlin Wei
2013	J	`jnl`	Physical principles for scalable neural recording. Frontiers Comput. Neurosci. Adam H. Marblestone, Bradley M. Zamft, Yael Maguire, Mikhail G. Shapiro, Thaddeus Cybulski, Joshua I. Glaser, Dario Amodei, P. Benjamin Stranges, Reza Kalhor, David Dalrymple, Dongjin Seo, Elad Alon, Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden III, George M. Church, Konrad P. Körding
2013	J	`jnl`	Statistical Analysis of Molecular Signal Recording. PLoS Comput. Biol. Joshua I. Glaser, Bradley M. Zamft, Adam H. Marblestone, Jeffrey R. Moffitt, Keith E. J. Tyo, Edward S. Boyden III, George M. Church, Konrad P. Körding
2012	J	`jnl`	Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons. PLoS Comput. Biol. Ian H. Stevenson, Brian M. London, Emily R. Oby, Nicholas A. Sachs, Jacob Reimer, Bernhard Englitz, Stephen V. David, Shihab A. Shamma, Timothy J. Blanche, Kenji Mizuseki, Amin Zandvakili, Nicholas G. Hatsopoulos, Lee E. Miller, Konrad P. Körding
2012	—	`conf`	Real-time fusion of gaze and EMG for a reaching neuroprosthesis. EMBC Elaine A. Corbett, Konrad P. Körding, Eric J. Perreault
2012	J	`jnl`	Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function. Frontiers Comput. Neurosci. Mark V. Albert, Nicolas Catz, Peter Thier, Konrad P. Körding
2012	J	`jnl`	Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test. IEEE Trans. Haptics Guy Avraham, Ilana Nisky, Hugo L. Fernandes, Daniel E. Acuna, Konrad P. Körding, Gerald E. Loeb, Amir Karniel
2011	—	`conf`	Dealing with noisy gaze information for a target-dependent neural decoder. EMBC Elaine A. Corbett, Nicholas A. Sachs, Konrad P. Körding, Eric J. Perreault
2011	C	`conf`	Discrete-time local dynamic programming. ACC Max Berniker, Konrad P. Körding
2011	J	`jnl`	Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects. PLoS Comput. Biol. Max Berniker, Konrad P. Körding
2011	—	`conf`	Inferring spike-timing-dependent plasticity from spike train data. NIPS Ian H. Stevenson, Konrad P. Körding
2011	J	`jnl`	Of Toasters and Molecular Ticker Tapes. PLoS Comput. Biol. Konrad P. Körding
2011	—	`conf`	Sensor-fault tolerant control of a powered lower limb prosthesis by mixing mode-specific adaptive Kalman filters. EMBC Anirban Dutta, Konrad P. Körding, Eric J. Perreault, Levi J. Hargrove
2010	—	`conf`	Mixture of time-warped trajectory models for movement decoding. NIPS Elaine A. Corbett, Eric J. Perreault, Konrad P. Körding
2010	J	`jnl`	Self versus Environment Motion in Postural Control. PLoS Comput. Biol. Kalpana Dokka, Robert V. Kenyon, Emily A. Keshner, Konrad P. Körding
2010	J	`jnl`	Uncertainty of feedback and state estimation determines the speed of motor adaptation. Frontiers Comput. Neurosci. Kunlin Wei, Konrad P. Körding
2009	J	`jnl`	Bayesian Integration and Non-Linear Feedback Control in a Full-Body Motor Task. PLoS Comput. Biol. Ian H. Stevenson, Hugo L. Fernandes, Iris Vilares, Kunlin Wei, Konrad P. Körding
2009	J	`jnl`	Exploration and Exploitation During Sequential Search. Cogn. Sci. Gregory Dam, Konrad P. Körding
2009	—	`conf`	Structural inference affects depth perception in the context of potential occlusion. NIPS Ian H. Stevenson, Konrad P. Körding
2008	J	`jnl`	A Probabilistic Model of Meetings That Combines Words and Discourse Features. IEEE Trans. Speech Audio Process. Mike Dowman, Virginia Savova, Thomas L. Griffiths, Konrad P. Körding, Joshua B. Tenenbaum, Matthew Purver
2007	—	`conf`	Comparing Bayesian models for multisensory cue combination without mandatory integration. NIPS Ulrik R. Beierholm, Konrad P. Körding, Ladan Shams, Wei Ji Ma
2006	—	`conf`	Causal inference in sensorimotor integration. NIPS Konrad P. Körding, Joshua B. Tenenbaum
2006	—	`conf`	Multiple timescales and uncertainty in motor adaptation. NIPS Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr
2006	A*	`conf`	Unsupervised Topic Modelling for Multi-Party Spoken Discourse. ACL Matthew Purver, Konrad P. Körding, Thomas L. Griffiths, Joshua B. Tenenbaum
2004	J	`jnl`	The world from a cat's perspective - statistics of natural videos. Biol. Cybern. Belinda Y. Betsch, Wolfgang Einhäuser, Konrad P. Körding, Peter König
2003	J	`jnl`	Learning the Nonlinearity of Neurons from Natural Visual Stimuli. Neural Comput. Christoph Kayser, Konrad P. Körding, Peter König
2003	C	`conf`	Optimal Coding for Naturally Occurring Whisker Deflections. ICANN Verena Vanessa Hafner, Miriam Fend, Max Lungarella, Rolf Pfeifer, Peter König, Konrad P. Körding
2003	—	`conf`	Probabilistic Inference in Human Sensorimotor Processing. NIPS Konrad P. Körding, Daniel M. Wolpert
2003	J	`jnl`	Sparse Spectrotemporal Coding of Sounds. EURASIP J. Adv. Signal Process. David J. Klein, Peter König, Konrad P. Körding
2002	C	`conf`	Learning Multiple Feature Representations from Natural Image Sequences. ICANN Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König
2001	C	`conf`	Extracting Slow Subspaces from Natural Videos Leads to Complex Cells. ICANN Christoph Kayser, Wolfgang Einhäuser, Olaf Dümmer, Peter König, Konrad P. Körding
2001	J	`jnl`	Neurons with Two Sites of Synaptic Integration Learn Invariant Representations. Neural Comput. Konrad P. Körding, Peter König
2001	J	`jnl`	Sites of Synaptic Integration. J. Comput. Neurosci. Konrad P. Körding, Peter König
2000	J	`jnl`	A learning rule for dynamic recruitment and decorrelation. Neural Networks Konrad P. Körding, Peter König
2000	J	`jnl`	Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions. J. Comput. Neurosci. Markus Siegel, Konrad P. Körding, Peter König
2000	—	`conf`	Two Sites of Synaptic Integration: Relevant for Learning? IJCNN (4) Konrad P. Körding, Peter König