Yoram Baram - researchr alias

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Viewing Publication 1 - 48 from 48

2023

Motion Control - Multi-Faceted Movement in Space, Time and Neurological ImpairmentYoram Baram. WorldScientific, 2023. [doi]

2021

The Subcritical Brain - A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor ControlYoram Baram. WorldScientific, 2021. [doi]

2018

Circuit Polarity Effect of Cortical Connectivity, Activity, and MemoryYoram Baram. neco, 30(11), 2018. [doi]

2017

Developmental metaplasticity in neural circuit codes of firing and structureYoram Baram. NN, 85:182-196, 2017. [doi]

2012

Sliding Global Attractors of Neural Learning and MemoryYoram Baram. ijcci 2012: 570-575

Noninvertibility, Chaotic Coding, and Chaotic Multiplexity of Synaptically Modulated Neural FiringYoram Baram. neco, 24(3):676-699, 2012. [doi]

Quantum set intersection and its application to associative memoryTamer Salman, Yoram Baram. jmlr, 13:3177-3206, 2012. [doi]

2006

Head motion anticipation for virtual-environment applications using kinematics and EMG energyS. Polak, Yair Barniv, Yoram Baram. tsmc, 36(3):569-576, 2006. [doi]

2005

Learning by Kernel PolarizationYoram Baram. neco, 17(6):1264-1275, 2005. [doi]

2004

Online Choice of Active Learning AlgorithmsYoram Baram, Ran El-Yaniv, Kobi Luz. jmlr, 5:255-291, 2004. [doi]

2003

Online Choice of Active Learning AlgorithmsYoram Baram, Ran El-Yaniv, Kobi Luz. icml 2003: 19-26

2002

Walking on Virtual TilesYoram Baram, Judith Aharon-Peretz, Yahalomit Simionovici, Lior Ron. npl, 16(3):227-233, 2002.

2001

Random Embedding Machines for Pattern RecognitionYoram Baram. neco, 13(11):2533-2548, 2001. [doi]

Smoothed Bootstrap and Statistical Data Cloning for Classifier EvaluationGregory Shakhnarovich, Ran El-Yaniv, Yoram Baram. icml 2001: 521-528

The Bias-Variance Dilemma of the Monte Carlo MethodMark Zlochin, Yoram Baram. icann 2001: 141-147 [doi]

Manifold Stochastic Dynamics for Bayesian LearningMark Zlochin, Yoram Baram. neco, 13(11):2549-2572, 2001. [doi]

2000

Random Embedding Machines for Low-Complexity Pattern RecognitionYoram Baram. icpr 2000: 2748-2754 [doi]

A geometric approach to consistent classificationYoram Baram. PR, 33(2):177-184, 2000. [doi]

1999

Walking on TilesYoram Baram. npl, 10(2):81-87, 1999.

Bayesian classification by iterated weightingYoram Baram. ijon, 25(1-3):73-79, 1999. [doi]

Manifold Stochastic Dynamics for Bayesian LearningMark Zlochin, Yoram Baram. nips 2000: 694-702 [doi]

1998

Partial Classification: The Benefit of Deferred DecisionYoram Baram. pami, 20(8):769-776, 1998. [doi]

Classification by Density IntersectionYoram Baram. npl, 8(1):1-8, 1998.

Partial Classification Can Be Beneficial Even for Ideal SeparationYoram Baram. pami, 20(10):1117, 1998. [doi]

Convergence analysis of nonlinear dynamical systems by nested Lyapunov functionsNatan Peterfreund, Yoram Baram. tac, 43(8):1179-1184, 1998. [doi]

Trajectory Control of Convergent NetworksNatan Peterfreund, Yoram Baram. npl, 8(2):99-106, 1998.

1997

Soft nearest neighbor classificationYoram Baram. icnn 1997: 1469-1473 [doi]

Detecting collision from gray-level expansion by a neural networkYoram Baram, Yair Barniv, Tarun Soni. ijon, 16(1):77-84, 1997. [doi]

1996

Consistent Classification, Firm and SoftYoram Baram. nips 1997: 326-332 [doi]

Classification by balanced binary representationYoram Baram. ijon, 13(2-4):347-357, 1996. [doi]

Multidimensional density shaping by sigmoidsZe'ew Roth, Yoram Baram. tnn, 7(5):1291-1298, 1996. [doi]

1995

Multi-Dimensional Density Shaping by Sigmoidal NetworksYoram Baram, Ze'ew Roth. icnn 1995: 3053-3056 [doi]

Forecasting by density shaping using neural networksYoram Baram, Ze'ew Roth. cifer 1995: 57-71 [doi]

High-capacity Hebbian storage by sparse samplingDror Salée, Yoram Baram. tnn, 6(2):349-356, 1995. [doi]

1994

Corrective memory by a symmetric sparsely encoded networkYoram Baram. TIT, 40(2):429-438, 1994.

Memorizing binary vector sequences by a sparsely encoded networkYoram Baram. tnn, 5(6):974-981, 1994. [doi]

Second-order bounds on the domain of attraction and the rate of convergence of nonlinear dynamical systems and neural networksNatan Peterfreund, Yoram Baram. tnn, 5(4):551-560, 1994. [doi]

A Diffusion Mechanism for Obstacle Detection from Size-Change InformationDario L. Ringach, Yoram Baram. pami, 16(1):76-80, 1994. [doi]

1992

Lower bounds on the capacities of binary and ternary networks storing sparse random vectorsYoram Baram, Dror Salée. TIT, 38(6):1633-1647, 1992.

1991

Encoding unique global minima in nested neural networksYoram Baram. TIT, 37(4):1158, 1991.

On the capacity of ternary Hebbian networksYoram Baram. TIT, 37(3):528-534, 1991.

1990

Ground states of partially connected binary neural networksYoram Baram. pieee, 78(10):1575-1578, 1990. [doi]

1989

Associative memory in fractal neural networksYoram Baram. tsmc, 19(5):1133-1141, 1989. [doi]

1988

On the internal structure of minimal stochastic realizationsYoram Baram, Uri Shaked. automatica, 24(5):715-717, 1988. [doi]

1987

A lower bound on the mean square error of reduced-order estimators for nonlinear processesYoram Baram. TIT, 33(6):942, 1987.

1982

Identifying nonstationary measurement noise in linear systemsYoram Baram. TIT, 28(1):122, 1982.

1980

Decomposition and Convergence of Likelihood RatiosYoram Baram. iandc, 45(2):170-177, May 1980.

1977

Information, consistent estimation and dynamic system identificationYoram Baram. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 1977. [doi]

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