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Technische Universität Graz, Austria
List of publications from the DBLP Bibliography Server - FAQother persons with the same name:
| 2008 | ||
|---|---|---|
| 156 | Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: Recurrent Neural Networks - Models, Capacities, and Applications, 20.01. - 25.01.2008 Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2008 | |
| 155 | EE | Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass: Hebbian Learning of Bayes Optimal Decisions. NIPS 2008: 1169-1176 |
| 154 | EE | Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008 |
| 153 | EE | Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass: 08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks 2008 |
| 152 | Wolfgang Maass, Andreas Filler, Jan Seeburger: Product-Centered Mobile Reasoning Support for Physical Shopping Situations. TAMoCo 2008: 54-63 | |
| 151 | EE | Wolfgang Maass, Upkar Varshney: Preface to the Focus Theme Section: 'Smart Products'. Electronic Markets 18(3): 211-215 (2008) |
| 150 | EE | Robert A. Legenstein, Wolfgang Maass: On the Classification Capability of Sign-Constrained Perceptrons. Neural Computation 20(1): 288-309 (2008) |
| 149 | EE | Peter Auer, Harald Burgsteiner, Wolfgang Maass: A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks 21(5): 786-795 (2008) |
| 2007 | ||
| 148 | EE | Wolfgang Maass: Liquid Computing. CiE 2007: 507-516 |
| 147 | EE | Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass: Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. ECML 2007: 250-261 |
| 146 | EE | Wolfgang Maass, Tobias Kowatsch, Timo Münster: Vocabulary Patterns in Free-for-all Collaborative Indexing Systems. ESOE 2007: 45-57 |
| 145 | Wolfgang Maass, Matthias Lampe: Integration of Standardized and Non-Standardized Product Data. GI Jahrestagung (1) 2007: 141-146 | |
| 144 | EE | Lars Buesing, Wolfgang Maass: Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons. NIPS 2007 |
| 143 | EE | Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity. NIPS 2007 |
| 142 | EE | Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe: Special issue on echo state networks and liquid state machines. Neural Networks 20(3): 287-289 (2007) |
| 141 | EE | Robert A. Legenstein, Wolfgang Maass: Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks 20(3): 323-334 (2007) |
| 2006 | ||
| 140 | Wolfgang Maass, Andreas Filler: Towards an Infrastructure for Semantically Annotated Physical Products. GI Jahrestagung (2) 2006: 544-549 | |
| 139 | EE | Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass: Energy Complexity and Entropy of Threshold Circuits. ICALP (1) 2006: 631-642 |
| 138 | EE | Danko Nikolic, Stefan Häusler, Wolf Singer, Wolfgang Maass: Temporal dynamics of information content carried by neurons in the primary visual cortex. NIPS 2006: 1041-1048 |
| 137 | EE | Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS 2006: 713-720 |
| 136 | EE | Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Computational aspects of feedback in neural circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(137): (2006) |
| 135 | EE | Wolfgang Maass, Kei Uchizawa, Rodney J. Douglas: Energy Complexity and Entropy of Threshold Circuits. Electronic Colloquium on Computational Complexity (ECCC) 13(138): (2006) |
| 134 | EE | Florian Stahl, Wolfgang Maass: Adoption and Diffusion in Electronic Markets: An Empirical Analysis of Attributes Influencing the Adoption of Paid Content. Electronic Markets 16(3): 233-244 (2006) |
| 133 | EE | Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass: On the Computational Power of Threshold Circuits with Sparse Activity. Neural Computation 18(12): 2994-3008 (2006) |
| 132 | EE | Alexander Kaske, Wolfgang Maass: A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models. Neural Networks 19(5): 600-609 (2006) |
| 131 | EE | Wolfgang Maass: "Imitation of life: how biology is inspiring computing" by Nancy Forbes. Pattern Anal. Appl. 8(4): 390-391 (2006) |
| 2005 | ||
| 130 | EE | Robert A. Legenstein, Wolfgang Maass: A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. NIPS 2005 |
| 129 | EE | Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag: Principles of real-time computing with feedback applied to cortical microcircuit models. NIPS 2005 |
| 128 | EE | Robert A. Legenstein, Wolfgang Maass: Wire length as a circuit complexity measure. J. Comput. Syst. Sci. 70(1): 53-72 (2005) |
| 127 | EE | Robert A. Legenstein, Christian Naeger, Wolfgang Maass: What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Computation 17(11): 2337-2382 (2005) |
| 126 | EE | Prashant Joshi, Wolfgang Maass: Movement Generation with Circuits of Spiking Neurons. Neural Computation 17(8): 1715-1738 (2005) |
| 125 | EE | Thomas Natschläger, Wolfgang Maass: Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks 18(10): 1301-1308 (2005) |
| 2004 | ||
| 124 | EE | Prashant Joshi, Wolfgang Maass: Movement Generation and Control with Generic Neural Microcircuits. BioADIT 2004: 258-273 |
| 123 | EE | Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger: Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. NIPS 2004 |
| 122 | EE | Wolfgang Maass, Henry Markram: On the computational power of circuits of spiking neurons. J. Comput. Syst. Sci. 69(4): 593-616 (2004) |
| 2003 | ||
| 121 | EE | Thomas Natschläger, Wolfgang Maass: Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. NIPS 2003 |
| 120 | EE | Stefan Häusler, Henry Markram, Wolfgang Maass: Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts. Complexity 8(4): 39-50 (2003) |
| 119 | EE | Wolfgang Maass, Jörg P. Müller: Preface to the Special Section on Software Agents. Electronic Markets 13(1): (2003) |
| 2002 | ||
| 118 | EE | Wolfgang Maass, Robert A. Legenstein, Henry Markram: A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. Biologically Motivated Computer Vision 2002: 282-293 |
| 117 | EE | Peter Auer, Harald Burgsteiner, Wolfgang Maass: Reducing Communication for Distributed Learning in Neural Networks. ICANN 2002: 123-128 |
| 116 | EE | Wolfgang Maass: On the Computational Power of Neural Microcircuit Models: Pointers to the Literature. ICANN 2002: 254-258 |
| 115 | EE | Wolfgang Maass, Thomas Natschläger, Henry Markram: A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS 2002: 213-220 |
| 114 | EE | Wolfgang Maass, Henry Markram: On the Computational Power of Recurrent Circuits of Spiking Neurons Electronic Colloquium on Computational Complexity (ECCC)(022): (2002) |
| 113 | EE | Wolfgang Maass, Thomas Natschläger, Henry Markram: Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. Neural Computation 14(11): 2531-2560 (2002) |
| 112 | EE | Wolfgang Maass, Henry Markram: Synapses as dynamic memory buffers. Neural Networks 15(1): 155-161 (2002) |
| 111 | Robert A. Legenstein, Wolfgang Maass: Neural circuits for pattern recognition with small total wire length. Theor. Comput. Sci. 287(1): 239-249 (2002) | |
| 110 | Thomas Natschläger, Wolfgang Maass: Spiking neurons and the induction of finite state machines. Theor. Comput. Sci. 287(1): 251-265 (2002) | |
| 2001 | ||
| 109 | Wolfgang Maass: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. Current Trends in Theoretical Computer Science 2001: 680-690 | |
| 108 | EE | Robert A. Legenstein, Wolfgang Maass: Optimizing the Layout of a Balanced Tree Electronic Colloquium on Computational Complexity (ECCC) 8(069): (2001) |
| 107 | EE | Robert A. Legenstein, Wolfgang Maass: Total Wire Length as a Salient Circuit Complexity Measure for Sensory Processing Electronic Colloquium on Computational Complexity (ECCC) 8(070): (2001) |
| 106 | EE | Robert A. Legenstein, Wolfgang Maass: Neural Circuits for Pattern Recognition with Small Total Wire Length Electronic Colloquium on Computational Complexity (ECCC) 8(071): (2001) |
| 105 | EE | Thomas Natschläger, Wolfgang Maass: Computing the Optimally Fitted Spike Train for a Synapse. Neural Computation 13(11): 2477-2494 (2001) |
| 104 | EE | Stephen Grossberg, Wolfgang Maass, Henry Markram: Introduction: Spiking Neurons in Neuroscience and Technology. Neural Networks 14(6-7): 587- (2001) |
| 103 | EE | Wolfgang Maass: On the relevance of time in neural computation and learning. Theor. Comput. Sci. 261(1): 157-178 (2001) |
| 2000 | ||
| 102 | Thomas Natschläger, Wolfgang Maass: Finding the Key to a Synapse. NIPS 2000: 138-144 | |
| 101 | Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador: Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. NIPS 2000: 145-151 | |
| 100 | Robert A. Legenstein, Wolfgang Maass: Foundations for a Circuit Complexity Theory of Sensory Processing. NIPS 2000: 259-265 | |
| 99 | EE | Wolfgang Maass, Gerald Steinbauer, Roland Koholka: Autonomous Fast Learning in a Mobile Robot. Sensor Based Intelligent Robots 2000: 345-356 |
| 98 | Wolfgang Maass: Neural Computation: A Research Topic for Theoretical Computer Science? Some Thoughts and Pointers. Bulletin of the EATCS 72: 149-158 (2000) | |
| 97 | EE | Wolfgang Maass: A Simple Model for Neural Computation with Firing Rates and Firing Correlations Electronic Colloquium on Computational Complexity (ECCC) 7(30): (2000) |
| 96 | EE | Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters Electronic Colloquium on Computational Complexity (ECCC) 7(31): (2000) |
| 95 | EE | Wolfgang Maass: On the Computational Power of Winner-Take-All Electronic Colloquium on Computational Complexity (ECCC) 7(32): (2000) |
| 94 | EE | Wolfgang Maass: On Computation with Pulses Electronic Colloquium on Computational Complexity (ECCC) 7(38): (2000) |
| 93 | EE | Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning Electronic Colloquium on Computational Complexity (ECCC) 7(50): (2000) |
| 92 | EE | Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes Electronic Colloquium on Computational Complexity (ECCC) 7(55): (2000) |
| 91 | Wolfgang Maass: On the Computational Power of Winner-Take-All. Neural Computation 12(11): 2519-2535 (2000) | |
| 90 | Wolfgang Maass, Thomas Natschläger: A Model for Fast Analog Computation Based on Unreliable Synapses. Neural Computation 12(7): 1679-1704 (2000) | |
| 89 | Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters. Neural Computation 12(8): 1743-1772 (2000) | |
| 1999 | ||
| 88 | EE | Thomas Natschläger, Wolfgang Maass: Fast analog computation in networks of spiking neurons using unreliable synapses. ESANN 1999: 417-422 |
| 87 | EE | Wolfgang Maass: Neural Computation with Winner-Take-All as the Only Nonlinear Operation. NIPS 1999: 293-299 |
| 86 | Wolfgang Maass, Berthold Ruf: On Computations with Pulses. Inf. Comput. 148(2): 202-218 (1999) | |
| 85 | Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding. Inf. Comput. 153(1): 26-46 (1999) | |
| 84 | Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages. Neural Computation 11(3): 771-782 (1999) | |
| 83 | Wolfgang Maass, Anthony M. Zador: Dynamic Stochastic Synapses as Computational Units. Neural Computation 11(4): 903-917 (1999) | |
| 1998 | ||
| 82 | Wolfgang Maass: Models for Fast Analog Computation with Spiking Neurons. ICONIP 1998: 187-188 | |
| 81 | EE | Wolfgang Maass: On the Role of Time and Space in Neural Computation. MFCS 1998: 72-83 |
| 80 | Wolfgang Maass: Spiking Neurons. NC 1998: 16-20 | |
| 79 | EE | Wolfgang Maass, Eduardo D. Sontag: A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and Other Common Noise Distributions. NIPS 1998: 281-287 |
| 78 | Wolfgang Maass, Manfred K. Warmuth: Efficient Learning With Virtual Threshold Gates. Inf. Comput. 141(1): 66-83 (1998) | |
| 77 | Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. Neural Computation 10(5): 1071-1095 (1998) | |
| 1997 | ||
| 76 | Wolfgang Maass: On the Relevance of Time in Neural Computation and Learning. ALT 1997: 364-384 | |
| 75 | EE | Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for a Spiking Neuron (Extended Abstract). COLT 1997: 54-61 |
| 74 | Wolfgang Maass, Anthony M. Zador: Dynamic Stochastic Synapses as Computational Units. NIPS 1997 | |
| 73 | EE | Wolfgang Maass, Michael Schmitt: On the Complexity of Learning for Spiking Neurons with Temporal Coding Electronic Colloquium on Computational Complexity (ECCC) 4(49): (1997) |
| 72 | EE | Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations Electronic Colloquium on Computational Complexity (ECCC) 4(51): (1997) |
| 71 | EE | Wolfgang Maass, Eduardo D. Sontag: Analog Neural Nets with Gaussian or other Common Noise Distributions cannot Recognize Arbitrary Regular Languages Electronic Colloquium on Computational Complexity (ECCC) 4(52): (1997) |
| 70 | EE | Wolfgang Maass: Fast Sigmoidal Networks via Spiking Neurons. Neural Computation 9(2): 279-304 (1997) |
| 69 | EE | Wolfgang Maass: Networks of spiking neurons: The third generation of neural network models. Neural Networks 10(9): 1659-1671 (1997) |
| 68 | Wolfgang Maass: Bounds for the Computational Power and Learning Complexity of Analog Neural Nets. SIAM J. Comput. 26(3): 708-732 (1997) | |
| 1996 | ||
| 67 | EE | Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth: Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). COLT 1996: 333-343 |
| 66 | EE | Wolfgang Maass: Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons. NIPS 1996: 211-217 |
| 65 | EE | Wolfgang Maass, Pekka Orponen: On the Effect of Analog Noise in Discrete-Time Analog Computations. NIPS 1996: 218-224 |
| 64 | EE | Wolfgang Maass, Berthold Ruf: The Computational Power of Spiking Neurons Depends on the Shape of the Postsynaptic Potentials Electronic Colloquium on Computational Complexity (ECCC) 3(25): (1996) |
| 63 | EE | Wolfgang Maass: Networks of Spiking Neurons: The Third Generation of Neural Network Models Electronic Colloquium on Computational Complexity (ECCC) 3(31): (1996) |
| 62 | David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass: Computing the Maximum Bichromatic Discrepancy with Applications to Computer Graphics and Machine Learning. J. Comput. Syst. Sci. 52(3): 453-470 (1996) | |
| 1995 | ||
| 61 | Wolfgang Maass: How Spatial Information Connects Visual Perception and Natural Language Generation in Dynamic Environments: Towards a Computational Model. COSIT 1995: 223-240 | |
| 60 | Peter Auer, Robert C. Holte, Wolfgang Maass: Theory and Applications of Agnostic PAC-Learning with Small Decision Trees. ICML 1995: 21-29 | |
| 59 | Wolfgang Maass, Manfred K. Warmuth: Efficient Learning with Virtual Threshold Gates. ICML 1995: 378-386 | |
| 58 | EE | Wolfgang Maass: On the Computational Power of Noisy Spiking Neurons. NIPS 1995: 211-217 |
| 57 | William J. Bultman, Wolfgang Maass: Fast Identification of Geometric Objects with Membership Queries Inf. Comput. 118(1): 48-64 (1995) | |
| 56 | Wolfgang Maass: Editor's Foreword. J. Comput. Syst. Sci. 51(3): 339 (1995) | |
| 55 | Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. Machine Learning 18(2-3): 187-230 (1995) | |
| 1994 | ||
| 54 | EE | Wolfgang Maass: Efficient Agnostic PAC-Learning with Simple Hypothesis. COLT 1994: 67-75 |
| 53 | EE | Wolfgang Maass: On the Computational Complexity of Networks of Spiking Neurons. NIPS 1994: 183-190 |
| 52 | Wolfgang Maass: From Vision to Multimodal Communication: Incremental Route Descriptions. Artif. Intell. Rev. 8(2-3): 159-174 (1994) | |
| 51 | EE | Wolfgang Maass: Bounds for the Computational Power and Learning Complexity of Analog Neural Nets Electronic Colloquium on Computational Complexity (ECCC) 1(12): (1994) |
| 50 | EE | Wolfgang Maass: Neural Nets with Superlinear VC-Dimension Electronic Colloquium on Computational Complexity (ECCC) 1(17): (1994) |
| 49 | EE | Wolfgang Maass: Lower Bounds for the Computational Power of Networks of Spiking Neurons Electronic Colloquium on Computational Complexity (ECCC) 1(19): (1994) |
| 48 | EE | Wolfgang Maass: Agnostic PAC-Learning of Functions on Analog Neural Nets Electronic Colloquium on Computational Complexity (ECCC) 1(20): (1994) |
| 47 | EE | David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass: Computing the Maximum Bichromatic Discrepancy, with applications to Computer Graphics and Machine Learning Electronic Colloquium on Computational Complexity (ECCC) 1(25): (1994) |
| 46 | Wolfgang Maass, György Turán: Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts. Machine Learning 14(1): 251-269 (1994) | |
| 45 | Zhixiang Chen, Wolfgang Maass: On-Line Learning of Rectangles and Unions of Rectangles. Machine Learning 17(2-3): 201-223 (1994) | |
| 1993 | ||
| 44 | EE | Peter Auer, Philip M. Long, Wolfgang Maass, Gerhard J. Woeginger: On the Complexity of Function Learning. COLT 1993: 392-401 |
| 43 | Wolfgang Maass: A Cognitive Model for the Process of Multimodal, Incremental Route Descriptions. COSIT 1993: 1-13 | |
| 42 | EE | Wolfgang Maass: Agnostic PAC-Learning of Functions on Analog Neural Nets. NIPS 1993: 311-318 |
| 41 | EE | Wolfgang Maass: Bounds for the computational power and learning complexity of analog neural nets. STOC 1993: 335-344 |
| 40 | Wolfgang Maass, Georg Schnitger, Endre Szemerédi, György Turán: Two Tapes Versus One for Off-Line Turing Machines. Computational Complexity 3: 392-401 (1993) | |
| 39 | András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán: Threshold Circuits of Bounded Depth. J. Comput. Syst. Sci. 46(2): 129-154 (1993) | |
| 38 | Martin Dietzfelbinger, Wolfgang Maass: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape. Theor. Comput. Sci. 108(2): 271-290 (1993) | |
| 1992 | ||
| 37 | Zhixiang Chen, Wolfgang Maass: A Solution of the Credit Assignment Problem in the Case of Learning Rectangles (Abstract). AII 1992: 26-34 | |
| 36 | EE | Zhixiang Chen, Wolfgang Maass: On-line Learning of Rectangles. COLT 1992: 16-28 |
| 35 | Wolfgang Maass, Theodore A. Slaman: The Complexity Types of Computable Sets. J. Comput. Syst. Sci. 44(2): 168-192 (1992) | |
| 34 | Wolfgang Maass, György Turán: Lower Bound Methods and Separation Results for On-Line Learning Models. Machine Learning 9: 107-145 (1992) | |
| 1991 | ||
| 33 | EE | Wolfgang Maass: On-Line Learning with an Oblivious Environment and the Power of Randomization. COLT 1991: 167-175 |
| 32 | EE | William J. Bultman, Wolfgang Maass: Fast Identification of Geometric Objects with Membership Queries. COLT 1991: 337-353 |
| 31 | Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag: On the Computational Power of Sigmoid versus Boolean Threshold Circuits FOCS 1991: 767-776 | |
| 30 | Winfried Graf, Wolfgang Maass: Constraint-basierte Verarbeitung graphischen Wissens. Wissensbasierte Systeme 1991: 243-253 | |
| 29 | Martin Dietzfelbinger, Wolfgang Maass, Georg Schnitger: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines. Theor. Comput. Sci. 82(1): 113-129 (1991) | |
| 1990 | ||
| 28 | EE | Wolfgang Maass, György Turán: On the Complexity of Learning from Counterexamples and Membership Queries (abstract). COLT 1990: 391 |
| 27 | Wolfgang Maass, György Turán: On the Complexity of Learning from Counterexamples and Membership Queries FOCS 1990: 203-210 | |
| 26 | EE | Ajay Gupta, Wolfgang Maass: Efficient Design of Boltzmann Machines. NIPS 1990: 825-831 |
| 1989 | ||
| 25 | Wolfgang Maass, Theodore A. Slaman: Extensional Properties of Sets of Time Bounded Complexity (Extended Abstract). FCT 1989: 318-326 | |
| 24 | Wolfgang Maass, György Turán: On the Complexity of Learning From Counterexamples (Extended Abstract) FOCS 1989: 262-267 | |
| 23 | Wolfgang Maass, Theodore A. Slaman: The Complexity Types of Computable Sets. Structure in Complexity Theory Conference 1989: 231-239 | |
| 1988 | ||
| 22 | Martin Dietzfelbinger, Wolfgang Maass: The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape. ICALP 1988: 188-200 | |
| 21 | András Hajnal, Wolfgang Maass, György Turán: On the Communication Complexity of Graph Properties STOC 1988: 186-191 | |
| 20 | Klaus Sutner, Wolfgang Maass: Motion Planning Among Time Dependent Obstacles. Acta Inf. 26(1/2): 93-122 (1988) | |
| 19 | Martin Dietzfelbinger, Wolfgang Maass: Lower Bound Arguments with "Inaccessible" Numbers. J. Comput. Syst. Sci. 36(3): 313-335 (1988) | |
| 18 | Noga Alon, Wolfgang Maass: Meanders and Their Applications in Lower Bounds Arguments. J. Comput. Syst. Sci. 37(2): 118-129 (1988) | |
| 17 | Wolfgang Maass: On the Use of Inaccessible Numbers and Order Indiscernibles in Lower Bound Arguments for Random Access Machines. J. Symb. Log. 53(4): 1098-1109 (1988) | |
| 1987 | ||
| 16 | András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán: Threshold circuits of bounded depth FOCS 1987: 99-110 | |
| 15 | Wolfgang Maass, Georg Schnitger, Endre Szemerédi: Two Tapes Are Better than One for Off-Line Turing Machines STOC 1987: 94-100 | |
| 14 | Dorit S. Hochbaum, Wolfgang Maass: Fast Approximation Algorithms for a Nonconvex Covering Problem. J. Algorithms 8(3): 305-323 (1987) | |
| 13 | Wolfgang Maass, Amir Schorr: Speed-Up of Turing Machines with One Work Tape and a Two-Way Input Tape. SIAM J. Comput. 16(1): 195-202 (1987) | |
| 1986 | ||
| 12 | Noga Alon, Wolfgang Maass: Meanders, Ramsey Theory and Lower Bounds for Branching Programs FOCS 1986: 410-417 | |
| 11 | Martin Dietzfelbinger, Wolfgang Maass: two Lower Bound Arguments with "Inaccessible" Numbers. Structure in Complexity Theory Conference 1986: 163-183 | |
| 10 | Wolfgang Maass, Georg Schnitger: An Optimal Lower Bound for Turing Machines with One Work Tape and a Two- way Input Tape. Structure in Complexity Theory Conference 1986: 249-264 | |
| 9 | Wolfgang Maass: On the Complexity of Nonconvex Covering. SIAM J. Comput. 15(2): 453-467 (1986) | |
| 1985 | ||
| 8 | EE | Dorit S. Hochbaum, Wolfgang Maass: Approximation Schemes for Covering and Packing Problems in Image Processing and VLSI J. ACM 32(1): 130-136 (1985) |
| 7 | Wolfgang Maass: Variations on Promptly Simple Sets. J. Symb. Log. 50(1): 138-148 (1985) | |
| 1984 | ||
| 6 | Dorit S. Hochbaum, Wolfgang Maass: Approximation Schemes for Covering and Packing Problems in Robotics and VLSI. STACS 1984: 55-62 | |
| 5 | Wolfgang Maass: Quadratic Lower Bounds for Deterministic and Nondeterministic One-Tape Turing Machines (Extended Abstract) STOC 1984: 401-408 | |
| 4 | Wolfgang Maass: On the Orbits of Hyperhypersimple Sets. J. Symb. Log. 49(1): 51-62 (1984) | |
| 1983 | ||
| 3 | Steven Homer, Wolfgang Maass: Oracle-Dependent Properties of the Lattice of NP Sets. Theor. Comput. Sci. 24: 279-289 (1983) | |
| 1982 | ||
| 2 | Wolfgang Maass: Recursively Enumerable Generic Sets. J. Symb. Log. 47(4): 809-823 (1982) | |
| 1978 | ||
| 1 | Wolfgang Maass: The Uniform Regular Set Theorem in a-Recursion Theory. J. Symb. Log. 43(2): 270-279 (1978) | |