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Invited Speakers at Previous Editions of the Learning@Snowbird Workshop
2011
| Deep Learning of Hierarchical Structure Chris Manning (Stanford) |
| Go With The Flow: A New Manifold Modeling and Learning Framework for Image Ensembles
Richard Baraniuk (Rice) |
| Convolution Networks with Stable Invariants Stéphane Mallat |
| Learning Matrix Decomposition Structures Bill Freeman (MIT) |
| Decision-Theoretic Models of Perception and Action Lawrence Maloney (NYU) |
2010
| Collaborative, Structured, and Hierarchical Sparse Image Models Guillermo Sapiro (U. Minnesota) |
| Can computer vision help us understand biological vision? Mitya Chkolvskii (HHMI Janelia Farm) |
| Inverse Reinforcement Learning for Following Instructions Nicholas Roy and Thomas Kollar and Stefanie Tellex (MIT) |
| Are categories necessary for recognition? Alyosha Efros (CMU) |
| 1. Human versus machine: comparing visual object recognition systems on a level playing field Nicolas Pinto (MIT) and David D. Cox |
| Markov Logic Networks: A Step Towards a Unified Theory of Learning and Cognition Pedro Domingos (U. Washington) |
| Object Detection Grammars David McAllester (U. Chicago, TTI-C) |
| An Iterative Path Integral Reinforcement Learning Approach Evangelos Theodorou (USC) |
2009
| Terence Sanger (Stanford) Failure of Motor Learning and How to Succeed Anyway |
| Max Welling (UC Irvine) On Herding Dynamical Weights and Fractal Geometry |
| Russ Tedrake (MIT) Learning to fly like a bird |
2008
| Nathan Intrator (Tel-Aviv) Novel Interpretation for EEG Data and Prediction of Epileptic Seizure |
| Ronan Collobert and Jason Weston (NEC Labs) Natural Language Processing: The Brain Way |
| Dan Klein (UC Berkeley) |
| Denis Pelli (NYU) The uncrowded window for object recognition |
| Rob Fergus (NYU) Large image databases and small codes for object recognition |
| Alon Orlitsky (UCSD) |
| Andrew Y. Ng (stanford) STAIR: The STanford Artificial Intelligence Robot project |
| Demetri Terzopoulos Learning Neuromuscular Control for the Biomechanical Simulation of the Neck-Head-Face Complex |
2006
| Andrew Fitzgibbon (Microsoft Research, Cambridge) Matrix factorization with missing data |
| Brendan Frey (University of Toronto) Explorations into the cellular transcriptome |
| Don Geman (Johns Hopkins University) Small-Sample Learning in Computational Biology |
| Ralf Herbrich (Microsoft Research, Cambridge) Bayesian ranking |
| Larry Jackel (DARPA IPTO/TTO) What Are the DARPA Ground Robots Learning? |
| David Stork (Ricoh) Did the great masters "cheat" using optics? Computer image analysis of Renaissance masterpieces sheds light on a controversial theory |
2005
| Daniel Huttenlocher (Cornell) Graphical Models for Object Recognition |
| Larry Matthies (Jet Propulsion Laboratory) Perception for Autonomous Navigation Off-road and Off-planet |
| Michael Kearns (University of Pennsylvania) Game Theory, Economics, and the Effects of Network Structure |
| Denis Pelli (New York University) Human vision isolates parts to recognize the whole |
2004
| Piotr Indyk (MIT) Algorithmic Applications of Low-Distortion Embeddings |
| Andrew Zisserman Object class recognition using trainable visual models |
| Shimon Ullman (Weizmann Institute) Visual object classification, recognition and segmentation |
| Jean-Philippe Vert (Ecole des Mines de Paris) Kernel Methods in Computational Biology |
| Lior Pachter (UC Berkeley) Parametric Inference for Biological Sequence Analysis |
| Eero Simoncelli (NYU) Learning the Statistical Structure of the Visual World |
2003
| Adam Arkin (Lawrence Berkeley Lab) Graphical Model Based Yeast Haploinsufficiency Profiling for Determining Drug Mechanisms and Interactions |
| Manuela Veloso (CMU) Dynamic Multi-Robot Coordination in the Presence of Teammates and Adversaries |
| Martial Hebert (CMU) Approaches to Object Recognition in Images |
2002
| Eric Brill (Microsoft) Automatic Question-Answering - Letting the Data do All the Work | |
| James M. Robins (Harvard School of Public Health) Estimation of Optimal Treatment Strategies | |
| Richard Durbin (Sanger Institute) Finding genes in the human genome sequence | |
| Moshe Tennenholtz (Technion) Efficient reinforcement learning in hostile environments | |
| Dan Ellis (Columbia University) Auditory Scene Analysis: Computational models of sound organization | |
| Oren Etzioni (University of Washington) Crossing the Chasm in Machine Learning: moving from function approximation to complete learning systems | |
| Thomas Vetter (University of Freiburg) Learning the appearance of faces: A Morphable Face Model for the analysis and the synthesis of images. | |
| Dan Koditschek (University of Michigan) Better Work: Saying What to Learn and Learning What to Say to Your Legs |
2001
| M. Hasselmo (Boston University) Modeling the role of the hippocampus in goal-directed spatial navigation. | |
| Martin A. Nowak (Institute for Advanced Study, Princeton) Evolution of language | |
| Jon Kleinberg Decentralized Network Algorithms: SmallWorld Phenomena and the Dynamics of Information | |
| Daniel M. Wolpert (University College, London) Computational human sensorimotor control | |
| Hugh Durrant-Whyte, Eduardo Nebot, Gamini Dissanayake (U. Sydney) Autonomous Localisation and Map building in Large-Scale Unstructured Environments | |
| Gary Blasdel, Niall P. McLaughlin (Harvard) Interactions Between Retinotopy, Ocular Dominance, and Orientation in Monkey V1 | |
| Jean Ponce (U. Illinois) Issues in 3D object recognition |
2000
| Craig Boutillier
(University of British Columbia) Factored POMDPs and Belief State Approximation | |
| Geoffrey Hinton
(Gatsby Unit, University College London) Training Products of Experts by Maximizing Contrastive Likelihood | |
| John Lafferty
(Carnegie Mellon University ) Learning Language Models for Information Retrieval | |
| Shun-Ichi Amari
(U. of Tokyo - Riken) Information Geometry of Multilayer Perceptrons | |
| Trevor Hastie
(Stanford University ) Gene Shaving: a new class of clustering methods for expression arrays | |
| Ehud Kalai
(Northwestern University) Rational Interactive Learning | |
| Deborah Gordon
(Stanford) The Organization of Work in Ant Colonies |
1999
| Tom M. Mitchell (Carnegie Mellon University) "Supervised Learning from Unlabeled Data" | |
| Tomaso Poggio (MIT) "A trainable system for visual object detection and classification" | |
| Pietro Perona (Caltech) "Where is the Sun: An Exploration of Pre-Shape Perception" | |
| Alex Pentland (MIT Media Laboratory) "Learning Human Behaviors" | |
| Alistair Sinclair (UC Berkeley) "Convergence Rates for Monte Carol Experiments" | |
| Eric Winfree (Princeton and Caltech) "Architect Collective Computation by Molecules" | |
| David Haussler (University of California)
Tommi Jaakkola (MIT), Mark Diekhans, "Hidden markov models and Fisher kernels for biosequence analysis" | |
| Lorin Grubb (Carnegie Mellon University) "A Statistical Method for Tracking Live Vocal Performances" |
