 |
Machine
Learning
Group University of Hawaii at Manoa, ICS Department PI: Susanne Still |
|
PhD Students| Lisa Miller |  |
Projects: Robotics Lisa's passion is robotics. She is currently working on new algorithms for exploration and self organized behavior. Document
ClassificationLisa is creating a tool for astrobiologists to faster access relevant papers from different areas. A part of this problem is to classify the documents. Lisa is currently testing various different classification techniques and a new method we have developed for document preprocessing. |
Emiliano Miranda |
 |
Project: |
Affiliated Physics
PhD StudentsPardis Niknejadi |
 |
Project: Stochastically driven harmonic oscillator. |
Steven Ross |
 |
Project: Image recognition for particle detection and
identification. |
Former
students| Lane McIntosh (Masters student, UHM Mathematics) Graduated 2012. Now at Stanford. |
|
Project: Information
Processing and Energy Dissipation in Neurons Neurons are computing machines that are designed to learn, i.e. they memorize some aspects of the past. We have shown recently (Still et al. 2012) that under fixed memory, the maximization of predictive power results in efficient computation, in the sense that dissipation is minimized. Lane is investigating the consequences of this insight on neuronal adaptation. |
William Wright (PhD Student) |
 |
Project: Clustering
Algorithms for use in the Planetary and Earth Sciences. Bill
contributed to: Hamilton CW, C Beggan, S Still, M Beuthe, R Lopes, D Williams, J Radebaugh, and W Wright. Spatial distribution of volcanoes on Io: implications for tidal heating and magma ascent. Earth and Planetary Sciences Letters (2012) |
Victor
Miagkikh,
ICS PhD Student, UHM. Project:
Lmitations of HMMs
and the Baum-Welch algorithm.Interdisciplinary (UHM):
Dr.
Christopher
Hamilton, Geophysics, UHM, now at NASA.
Dr.
Hunter Hatfield,
Linguistics, UHM, now at the
University of Otago.External:
Dr.
Fabio
Caccioli, SISSA and SFI
Dr. Christopher Ellison, Physics, UC Davis
Monica Dinculescu, CS, McGill |
Lab
Meeting
Tue 3.30 - 4.30 pm P.O.S.T. 302. Not this semester. Prof. Still is on sabbatical. |
 |
If you are interested to learn more
about what is going on in our lab, you are very welcome to join the lab
meeting. Please send an email to announce your attendance.
Information
for prospective students: Research
interests
and
open
projects
IMPORTANT: STUDENT NEEDED FOR CLIMATE STUDY ! Good programming and basic data analysis skills required; email Prof. Still if you are interested.
Current Collaborations (incomplete list, under construction)
| Research Area | (Co)-PIs |
Outside Group
Members |
ML Group Students |
Publications |
| Nonequilibrium Thermodynamics
and Physics of Computation |
Gavin Crooks, LBNL
and UC
Berkeley Tony
Bell, RCTN,
UC
Berkeley |
David
Sivak, UCSF |
 Pardis NiknejadiLooking for a Physics Student |
S. Still, D. A.
Sivak, A. J. Bell, and G. E. Crooks. The
thermodynamics
of
prediction. |
| Quantitative Finance /
Econophysics |
Imre
Kondor,
Collegium Budapest Matteo Marsili,
ICTP |
Fabio
Caccioli, SFI Zeno Farkas |
Looking
for a CS, physics, mathematics or economics student with strong
analytical and programming skills |
S. Still and I. Kondor. Regularizing
Portfolio
Optimization.
New Journal
of Physics 12 (2010) 075034 (15pp). Special Issue on Statistical
Physics Modeling in Economics and Finance. This work was also presented
at the Third Financial Risks International Forum, Paris, March 25/26,
2010. F. Caccioli, S. Still, M.
Marsili, and I. Kondor: Optimal
Liquidation
Strategies
Regularize
Portfolio
Selection. To be published in The European Journal
of
Finance, Special issue on New Facets of Economic Complexity in Modern
Financial Markets (2011). |
| Robotics, information theory,
machine learning, time series analysis |
Bill
Bialek, Physics, Princeton Jim Crutchfield,
Physics,
UC
DavisDoina Precup,
CS,
McGill
Fritz
Sommer,
RCTN, UC
Berkeley Leon Bottou, Microsoft |
Chris
Ellison,
UC
Davis Benny Brown, UC Davis Daniel Little, RCTN, UC
Berkeley |
Lisa
Miller Steven Ross |
S. Still. Information
theoretic
approach
to
interactive
learning. EPL 85 (2009) 28005. S. Still, J. P.
Crutchfield and C. J. Ellison. Optimal
Causal
Inference:
Estimating
Stored
Information
and
Approximating
Causal Architecture. CHAOS
20 (2010) Special Issue on "Intrinsic and Designed Computation:
Information Processing in Dynamical Systems". S. Still and W. Bialek. How many
clusters? An information theoretic perspective. Neural
Computation, 16(12):2483-2506 (2004) S. Still, W. Bialek and
Bottou, L. Geometric
Clustering
using
the
Information
Bottleneck
method. In
Sebastian Thrun, Lawrence K. Saul, and Bernhard Schölkopf,
editors, Advances in Neural Information Processing Systems 16. MIT
Press (2004) E. Schneidman, S. Still,
M. J. Berry II, and W. Bialek. Network Information
and Connected
Correlations. Physical Review Letters, 91(23):238701 (2003) |
| Geoinformatics |
Christopher
Hamilton, NASAThorvaldur
Thordarson, U Edinburgh |
Looking for a Geophysics
Student |
Hamilton
CW, C Beggan, S Still, M Beuthe, R Lopes, D Williams, J Radebaugh, and
W Wright. Spatial
distribution
of volcanoes on Io: implications for tidal heating and
magma ascent. Earth and Planetary Sciences Letters (2012) |
|
| Foundations of Information
Theory and Thermodynamics |
Mike
DeWeese, Physics UC
Berkeley Rob Shaw |
Badr
Faisal Albanna, RCTN, UC
Berkeley Jascha Sohl-Dickstein,
RCTN, Stanford |
Looking for a Physics Student | |
| Computational Neuroscience |
Giacomo
Indiveri, INI, ETH/UNI Zuerich |
Steimer,
Andreas,
INI,
ETH/UNI
Zuerich |
Lane McIntosh |
Coming up soon! Stay tuned. |
| Applying Statistical Mechanics
and Machine Learning to Climate Modeling |
Peter
Mueller, SOEST, UHM Neven
S. Fučkar, SOEST. |
Looking
for a Student in Oceanography, Physics or Meterology |
Machine learning research and related activities at UH:
Manoa Lecture Series in Machine Learning and Computational Neuroscience
Tony Kuh's Lab, Electrical Engineering
ICS Robotics Group (PIs)
Kyungim Baek (Computer Vision)
Kim Binsted (AI)
David Chin (AI)
Curtis Ikehara (HCI)
Nancy Reed (AI)
ARE YOU WORKING IN MACHINE LEARNING AT UH AND ARE NOT ON THIS LIST? PLEASE GET IN TOUCH TO BE INCLUDED.