Related Events (a corresponding poster, oral, or spotlight)

• 2007 Oral: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior »
  Thu. Dec 6th 05:10 -- 05:30 PM Room

More from the Same Authors

• 2023 Poster: Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation »
  Richard Gao · Michael Deistler · Jakob H Macke
• 2023 Poster: RDumb: A simple approach that questions our progress in continual test-time adaptation »
  Ori Press · Steffen Schneider · Matthias Kümmerer · Matthias Bethge
• 2023 Poster: Modulated Neural ODEs »
  Ilze Amanda Auzina · Çağatay Yıldız · Sara Magliacane · Matthias Bethge · Efstratios Gavves
• 2023 Poster: Compositional Generalization from First Principles »
  Thaddäus Wiedemer · Prasanna Mayilvahanan · Matthias Bethge · Wieland Brendel
• 2023 Poster: Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference »
  Basile Confavreux · Poornima Ramesh · Pedro Goncalves · Jakob H Macke · Tim Vogels
• 2023 Poster: Flow Matching for Scalable Simulation-Based Inference »
  Jonas Wildberger · Maximilian Dax · Simon Buchholz · Stephen Green · Jakob H Macke · Bernhard Schölkopf
• 2022 Poster: Truncated proposals for scalable and hassle-free simulation-based inference »
  Michael Deistler · Pedro Goncalves · Jakob H Macke
• 2022 Poster: Efficient identification of informative features in simulation-based inference »
  Jonas Beck · Michael Deistler · Yves Bernaerts · Jakob H Macke · Philipp Berens
• 2019 : Poster Session »
  Pravish Sainath · Mohamed Akrout · Charles Delahunt · Nathan Kutz · Guangyu Robert Yang · Joseph Marino · L F Abbott · Nicolas Vecoven · Damien Ernst · andrew warrington · Michael Kagan · Kyunghyun Cho · Kameron Harris · Leopold Grinberg · John J. Hopfield · Dmitry Krotov · Taliah Muhammad · Erick Cobos · Edgar Walker · Jacob Reimer · Andreas Tolias · Alexander Ecker · Janaki Sheth · Yu Zhang · Maciej Wołczyk · Jacek Tabor · Szymon Maszke · Roman Pogodin · Dane Corneil · Wulfram Gerstner · Baihan Lin · Guillermo Cecchi · Jenna M Reinen · Irina Rish · Guillaume Bellec · Darjan Salaj · Anand Subramoney · Wolfgang Maass · Yueqi Wang · Ari Pakman · Jin Hyung Lee · Liam Paninski · Bryan Tripp · Colin Graber · Alex Schwing · Luke Prince · Gabriel Ocker · Michael Buice · Benjamin Lansdell · Konrad Kording · Jack Lindsey · Terrence Sejnowski · Matthew Farrell · Eric Shea-Brown · Nicolas Farrugia · Victor Nepveu · Jiwoong Im · Kristin Branson · Brian Hu · Ramakrishnan Iyer · Stefan Mihalas · Sneha Aenugu · Hananel Hazan · Sihui Dai · Tan Nguyen · Doris Tsao · Richard Baraniuk · Anima Anandkumar · Hidenori Tanaka · Aran Nayebi · Stephen Baccus · Surya Ganguli · Dean Pospisil · Eilif Muller · Jeffrey S Cheng · Gaël Varoquaux · Kamalaker Dadi · Dimitrios C Gklezakos · Rajesh PN Rao · Anand Louis · Christos Papadimitriou · Santosh Vempala · Naganand Yadati · Daniel Zdeblick · Daniela M Witten · Nicholas Roberts · Vinay Prabhu · Pierre Bellec · Poornima Ramesh · Jakob H Macke · Santiago Cadena · Guillaume Bellec · Franz Scherr · Owen Marschall · Robert Kim · Hannes Rapp · Marcio Fonseca · Oliver Armitage · Jiwoong Im · Thomas Hardcastle · Abhishek Sharma · Wyeth Bair · Adrian Valente · Shane Shang · Merav Stern · Rutuja Patil · Peter Wang · Sruthi Gorantla · Peter Stratton · Tristan Edwards · Jialin Lu · Martin Ester · Yurii Vlasov · Siavash Golkar
• 2019 Poster: Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning »
  Valerio Perrone · Huibin Shen · Matthias Seeger · Cedric Archambeau · Rodolphe Jenatton
• 2019 Poster: Intrinsic dimension of data representations in deep neural networks »
  Alessio Ansuini · Alessandro Laio · Jakob H Macke · Davide Zoccolan
• 2018 : Adversarial Vision Challenge: Results of the Adversarial Vision Challenge »
  Wieland Brendel · Jonas Rauber · Marcel Salathé · Alexey Kurakin · Nicolas Papernot · Sharada Mohanty · Matthias Bethge
• 2017 : DeepArt competition »
  Alexander Ecker · Leon A Gatys · Matthias Bethge
• 2017 Spotlight: Fast amortized inference of neural activity from calcium imaging data with variational autoencoders »
  Artur Speiser · Jinyao Yan · Evan Archer · Lars Buesing · Srinivas C Turaga · Jakob H Macke
• 2017 Poster: Fast amortized inference of neural activity from calcium imaging data with variational autoencoders »
  Artur Speiser · Jinyao Yan · Evan Archer · Lars Buesing · Srinivas C Turaga · Jakob H Macke
• 2017 Poster: Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations »
  Marcel Nonnenmacher · Srinivas C Turaga · Jakob H Macke
• 2017 Poster: Flexible statistical inference for mechanistic models of neural dynamics »
  Jan-Matthis Lueckmann · Pedro Goncalves · Giacomo Bassetto · Kaan Öcal · Marcel Nonnenmacher · Jakob H Macke
• 2017 Poster: Neural system identification for large populations separating “what” and “where” »
  David Klindt · Alexander Ecker · Thomas Euler · Matthias Bethge
• 2016 : From Brains to Bits and Back Again »
  Yoshua Bengio · Terrence Sejnowski · Christos H Papadimitriou · Jakob H Macke · Demis Hassabis · Alyson Fletcher · Andreas Tolias · Jascha Sohl-Dickstein · Konrad P Koerding
• 2016 : Matthias Bethge - Texture perception in humans and machines »
  Matthias Bethge
• 2016 Workshop: Brains and Bits: Neuroscience meets Machine Learning »
  Alyson Fletcher · Eva Dyer · Jascha Sohl-Dickstein · Joshua T Vogelstein · Konrad Koerding · Jakob H Macke
• 2015 : Correlations and Signatures of Criticality in Neural Population Models »
  Jakob H Macke
• 2015 Workshop: Statistical Methods for Understanding Neural Systems »
  Alyson Fletcher · Jakob H Macke · Ryan Adams · Jascha Sohl-Dickstein
• 2015 Poster: Unlocking neural population non-stationarities using hierarchical dynamics models »
  Mijung Park · Gergo Bohner · Jakob H Macke
• 2015 Poster: Texture Synthesis Using Convolutional Neural Networks »
  Leon A Gatys · Alexander Ecker · Matthias Bethge
• 2015 Poster: Generative Image Modeling Using Spatial LSTMs »
  Lucas Theis · Matthias Bethge
• 2014 Workshop: Large scale optical physiology: From data-acquisition to models of neural coding »
  Il Memming Park · Jakob H Macke · Ferran Diego Andilla · Eftychios Pnevmatikakis · Jeremy Freeman
• 2014 Poster: A Bayesian model for identifying hierarchically organised states in neural population activity »
  Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
• 2014 Spotlight: A Bayesian model for identifying hierarchically organised states in neural population activity »
  Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
• 2014 Poster: Low-dimensional models of neural population activity in sensory cortical circuits »
  Evan Archer · Urs Koster · Jonathan W Pillow · Jakob H Macke
• 2013 Workshop: Acquiring and Analyzing the Activity of Large Neural Ensembles »
  Srinivas C Turaga · Lars Buesing · Maneesh Sahani · Jakob H Macke
• 2013 Poster: Inferring neural population dynamics from multiple partial recordings of the same neural circuit »
  Srinivas C Turaga · Lars Buesing · Adam M Packer · Henry Dalgleish · Noah Pettit · Michael Hausser · Jakob H Macke
• 2013 Spotlight: Inferring neural population dynamics from multiple partial recordings of the same neural circuit »
  Srinivas C Turaga · Lars Buesing · Adam M Packer · Henry Dalgleish · Noah Pettit · Michael Hausser · Jakob H Macke
• 2012 Poster: Training sparse natural image models with a fast Gibbs sampler of an extended state space »
  Lucas Theis · Jascha Sohl-Dickstein · Matthias Bethge
• 2012 Poster: Spectral learning of linear dynamics from generalised-linear observations with application to neural population data »
  Lars Buesing · Jakob H Macke · Maneesh Sahani
• 2012 Oral: Spectral learning of linear dynamics from generalised-linear observations with application to neural population data »
  Lars Buesing · Jakob H Macke · Maneesh Sahani
• 2011 Oral: Empirical models of spiking in neural populations »
  Jakob H Macke · Lars Buesing · John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani
• 2011 Poster: Empirical models of spiking in neural populations »
  Jakob H Macke · Lars Buesing · John P Cunningham · Byron M Yu · Krishna V Shenoy · Maneesh Sahani
• 2011 Poster: How biased are maximum entropy models? »
  Jakob H Macke · Iain Murray · Peter E Latham
• 2010 Workshop: Numerical Mathematics Challenges in Machine Learning »
  Matthias Seeger · Suvrit Sra
• 2010 Session: Oral Session 6 »
  Matthias Seeger
• 2010 Poster: Evaluating neuronal codes for inference using Fisher information »
  Ralf Haefner · Matthias Bethge
• 2009 Poster: Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions »
  Fabian H Sinz · Eero Simoncelli · Matthias Bethge
• 2009 Poster: Neurometric function analysis of population codes »
  Philipp Berens · Sebastian Gerwinn · Alexander S Ecker · Matthias Bethge
• 2009 Poster: A joint maximum-entropy model for binary neural population patterns and continuous signals »
  Sebastian Gerwinn · Philipp Berens · Matthias Bethge
• 2009 Poster: Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing »
  Matthias Seeger
• 2009 Spotlight: A joint maximum-entropy model for binary neural population patterns and continuous signals »
  Sebastian Gerwinn · Philipp Berens · Matthias Bethge
• 2009 Poster: Bayesian estimation of orientation preference maps »
  Jakob H Macke · Sebastian Gerwinn · Leonard White · Matthias Kaschube · Matthias Bethge
• 2008 Poster: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction »
  Fabian H Sinz · Matthias Bethge
• 2008 Spotlight: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction »
  Fabian H Sinz · Matthias Bethge
• 2008 Poster: Bayesian Experimental Design of Magnetic Resonance Imaging Sequences »
  Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
• 2008 Spotlight: Bayesian Experimental Design of Magnetic Resonance Imaging Sequences »
  Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
• 2008 Poster: Local Gaussian Process Regression for Real Time Online Model Learning »
  Duy Nguyen-Tuong · Matthias Seeger · Jan Peters
• 2007 Workshop: Approximate Bayesian Inference in Continuous/Hybrid Models »
  Matthias Seeger · David Barber · Neil D Lawrence · Onno Zoeter
• 2007 Spotlight: Near-Maximum Entropy Models for Binary Neural Representations of Natural Images »
  Matthias Bethge · Philipp Berens
• 2007 Poster: Near-Maximum Entropy Models for Binary Neural Representations of Natural Images »
  Matthias Bethge · Philipp Berens
• 2007 Poster: Receptive Fields without Spike-Triggering »
  Jakob H Macke · Günther Zeck · Matthias Bethge
• 2006 Poster: Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods »
  Matthias Seeger
• 2006 Poster: Inducing Metric Violations in Human Similarity Judgements »
  Julian Laub · Jakob H Macke · Klaus-Robert Müller · Felix A Wichmann