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György Turán
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2020 – today
- 2024
- [i15]Harish Naik, Jan Polster, Raj Shekhar, Tamás Horváth, György Turán:
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations. CoRR abs/2403.07849 (2024) - [i14]Yingyao Zhou, Natasha Devroye, György Turán, Milos Zefran:
Interpreting Deepcode, a learned feedback code. CoRR abs/2404.17519 (2024) - 2023
- [c55]Natasha Devroye, Abhijeet Mulgund, Raj Shekhar, György Turán, Milos Zefran
, Yingyao Zhou:
Interpreting Training Aspects of Deep-Learned Error-Correcting Codes. ISIT 2023: 2374-2379 - [c54]Abhijeet Mulgund, Natasha Devroye, György Turán, Milos Zefran:
Decomposing the Training of Deep Learned Turbo codes via a Feasible MAP Decoder. ISTC 2023: 1-5 - [i13]Natasha Devroye, Abhijeet Mulgund, Raj Shekhar, György Turán, Milos Zefran, Yingyao Zhou:
Interpreting Training Aspects of Deep-Learned Error-Correcting Codes. CoRR abs/2305.04347 (2023) - 2022
- [j48]Péter Hajnal
, Zhihao Liu, György Turán:
Nearest neighbor representations of Boolean functions. Inf. Comput. 285(Part): 104879 (2022) - [c53]Abhijeet Mulgund, Raj Shekhar, Natasha Devroye
, György Turán, Milos Zefran
:
Evaluating interpretations of deep-learned error-correcting codes. Allerton 2022: 1-8 - [c52]Natasha Devroye
, Neshat Mohammadi, Abhijeet Mulgund, Harish Naik
, Raj Shekhar, György Turán, Yeqi Wei, Milos Zefran
:
Interpreting Deep-Learned Error-Correcting Codes. ISIT 2022: 2457-2462 - 2021
- [j47]Andrew S. Gordon, Rob Miller, Leora Morgenstern, György Turán:
Preface. Ann. Math. Artif. Intell. 89(1-2): 1-5 (2021) - 2020
- [c51]Vanda Balogh, Gábor Berend, Dimitrios I. Diochnos, György Turán:
Understanding the Semantic Content of Sparse Word Embeddings Using a Commonsense Knowledge Base. AAAI 2020: 7399-7406 - [c50]Karine Chubarian, György Turán:
Interpretability of Bayesian Network Classifiers: OBDD Approximation and Polynomial Threshold Functions. ISAIM 2020 - [c49]Karine Chubarian, György Turán:
Approximating bounded tree-width Bayesian network classifiers with OBDD. PGM 2020: 113-124 - [i12]Péter Hajnal, Zhihao Liu, György Turán:
Nearest neighbor representations of Boolean functions. CoRR abs/2004.01741 (2020) - [i11]Harish Naik, György Turán:
Explanation from Specification. CoRR abs/2012.07179 (2020)
2010 – 2019
- 2018
- [e3]Andrew S. Gordon, Rob Miller, György Turán:
Proceedings of the Thirteenth International Symposium on Commonsense Reasoning, COMMONSENSE 2017, London, UK, November 6-8, 2017. CEUR Workshop Proceedings 2052, CEUR-WS.org 2018 [contents] - 2017
- [j46]Lisa Hellerstein, Lev Reyzin, György Turán:
Foreword. Ann. Math. Artif. Intell. 79(1-3): 1-3 (2017) - [j45]Benjamin Fish, Rahul Kushwaha, György Turán:
Betweenness centrality profiles in trees. J. Complex Networks 5(5): 776-794 (2017) - [j44]Stellan Ohlsson, Robert H. Sloan, György Turán, Aaron Urasky:
Measuring an artificial intelligence system's performance on a Verbal IQ test for young children. J. Exp. Theor. Artif. Intell. 29(4): 679-693 (2017) - [j43]Kira V. Adaricheva
, Giuseppe F. Italiano
, Hans Kleine Büning, György Turán:
Foreword. Theor. Comput. Sci. 658: 263 (2017) - [j42]Robert H. Sloan, Despina Stasi, György Turán:
Hydras: Directed hypergraphs and Horn formulas. Theor. Comput. Sci. 658: 417-428 (2017) - 2016
- [c48]Jon Yaggie, György Turán:
Characterizability in Horn Belief Revision. JELIA 2016: 497-511 - [i10]Benjamin Fish, Rahul Kushwaha, György Turán:
Betweenness centrality profiles in trees. CoRR abs/1607.02334 (2016) - 2015
- [c47]György Turán, Jon Yaggie:
Characterizability in Belief Revision. AAAI Spring Symposia 2015 - [c46]Loizos Michael, Antonis C. Kakas, Rob Miller, György Turán:
Cognitive Programming. AIC 2015: 3-18 - [c45]György Turán, Jon Yaggie:
Characterizability in Belief Revision. IJCAI 2015: 3236-3242 - [c44]Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán:
On the Computational Complexity of MapReduce. DISC 2015: 1-15 - [i9]Robert H. Sloan, Despina Stasi, György Turán:
Hydras: Directed Hypergraphs and Horn Formulas. CoRR abs/1504.07753 (2015) - [i8]Stellan Ohlsson, Robert H. Sloan, György Turán, Aaron Urasky:
Measuring an Artificial Intelligence System's Performance on a Verbal IQ Test For Young Children. CoRR abs/1509.03390 (2015) - 2014
- [c43]Fatemeh Vafaee
, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf
:
Balancing the exploration and exploitation in an adaptive diversity guided genetic algorithm. IEEE Congress on Evolutionary Computation 2014: 2570-2577 - [c42]Szabolcs Iván
, Ádám Dániel Lelkes, Judit Nagy-György
, Balázs Szörényi, György Turán:
Biclique Coverings, Rectifier Networks and the Cost of ε-Removal. DCFS 2014: 174-185 - [c41]Fatemeh Vafaee
, György Turán, Peter C. Nelson, Tanya Y. Berger-Wolf
:
Among-site rate variation: adaptation of genetic algorithm mutation rates at each single site. GECCO 2014: 863-870 - [i7]György Turán, Jon Yaggie:
Non-characterizability of belief revision: an application of finite model theory. CoRR abs/1403.6512 (2014) - [i6]Szabolcs Iván, Ádám Dániel Lelkes, Judit Nagy-György, Balázs Szörényi, György Turán:
Biclique coverings, rectifier networks and the cost of $\varepsilon$-removal. CoRR abs/1406.0017 (2014) - [i5]Benjamin Fish, Jeremy Kun, Ádám Dániel Lelkes, Lev Reyzin, György Turán:
On the Computational Complexity of MapReduce. CoRR abs/1410.0245 (2014) - [i4]Kira V. Adaricheva, Giuseppe F. Italiano, Hans Kleine Büning, György Turán:
Horn formulas, directed hypergraphs, lattices and closure systems: related formalisms and applications (Dagstuhl Seminar 14201). Dagstuhl Reports 4(5): 1-26 (2014) - 2013
- [c40]Stellan Ohlsson, Robert H. Sloan, György Turán, Aaron Urasky:
Verbal IQ of a Four-Year Old Achieved by an AI System. AAAI (Late-Breaking Developments) 2013 - 2012
- [j41]Robert H. Sloan, Despina Stasi, György Turán:
Random Horn Formulas and Propagation Connectivity for Directed Hypergraphs. Discret. Math. Theor. Comput. Sci. 14(2): 29-36 (2012) - [j40]Dimitrios I. Diochnos
, Robert H. Sloan, György Turán:
On multiple-instance learning of halfspaces. Inf. Process. Lett. 112(23): 933-936 (2012) - [c39]Stellan Ohlsson, Robert H. Sloan, György Turán, Daniel Uber, Aaron Urasky:
An Approach to Evaluate AI Commonsense Reasoning Systems. FLAIRS 2012 - [c38]Despina Stasi, Robert H. Sloan, György Turán:
Hydra formulas and directed hypergraphs: A preliminary report. ISAIM 2012 - [c37]Kira V. Adaricheva, Robert H. Sloan, Balázs Szörényi, György Turán:
Horn Belief Contraction: Remainders, Envelopes and Complexity. KR 2012 - [c36]Robert H. Sloan, Despina Stasi, György Turán:
Hydras: Directed Hypergraphs and Horn Formulas. WG 2012: 237-248 - [e2]Mária Bieliková, Gerhard Friedrich, Georg Gottlob, Stefan Katzenbeisser, György Turán:
SOFSEM 2012: Theory and Practice of Computer Science - 38th Conference on Current Trends in Theory and Practice of Computer Science, Špindlerův Mlýn, Czech Republic, January 21-27, 2012. Proceedings. Lecture Notes in Computer Science 7147, Springer 2012, ISBN 978-3-642-27659-0 [contents] - 2011
- [c35]Kira V. Adaricheva, Robert H. Sloan, Balázs Szörényi, György Turán:
Horn Belief Contraction: Remainders, Envelopes and Complexity. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning 2011 - 2010
- [j39]Dhruv Mubayi, György Turán:
Finding bipartite subgraphs efficiently. Inf. Process. Lett. 110(5): 174-177 (2010) - [j38]Marina Langlois, Robert H. Sloan, György Turán:
Horn Upper Bounds and Renaming. J. Satisf. Boolean Model. Comput. 7(1): 1-15 (2010) - [j37]László Györfi, György Turán, Thomas Zeugmann:
Guest editors' foreword. Theor. Comput. Sci. 411(29-30): 2629-2631 (2010) - [c34]Fatemeh Vafaee
, György Turán, Peter C. Nelson:
Optimizing genetic operator rates using a markov chain model of genetic algorithms. GECCO 2010: 721-728 - [c33]Amitava Bhattacharya, Bhaskar DasGupta, Dhruv Mubayi, György Turán:
On Approximate Horn Formula Minimization. ICALP (1) 2010: 438-450 - [p1]Robert H. Sloan, Balázs Szörényi, György Turán, Yves Crama, Peter L. Hammer:
Learning Boolean Functions with Queries. Boolean Models and Methods 2010: 221-256
2000 – 2009
- 2009
- [c32]Marina Langlois, Dhruv Mubayi, Robert H. Sloan, György Turán:
Combinatorial Problems for Horn Clauses. Graph Theory, Computational Intelligence and Thought 2009: 54-65 - [c31]Dimitrios I. Diochnos
, György Turán:
On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance. SAGA 2009: 74-88 - 2008
- [j36]Robert H. Sloan, Balázs Szörényi, György Turán:
Projective DNF formulae and their revision. Discret. Appl. Math. 156(4): 530-544 (2008) - [j35]Robert H. Sloan, Balázs Szörényi, György Turán:
On k-Term DNF with the Largest Number of Prime Implicants. SIAM J. Discret. Math. 21(4): 987-998 (2008) - [c30]Marina Langlois, Robert H. Sloan, Balázs Szörényi, György Turán:
Horn Complements: Towards Horn-to-Horn Belief Revision. AAAI 2008: 466-471 - [c29]Marina Langlois, Dhruv Mubayi, Robert H. Sloan, György Turán:
Combinatorial problems for Horn clauses. ISAIM 2008 - [e1]Yoav Freund, László Györfi, György Turán, Thomas Zeugmann:
Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings. Lecture Notes in Computer Science 5254, Springer 2008, ISBN 978-3-540-87986-2 [contents] - 2007
- [j34]Ferenc Gécseg, György Turán:
Kalmár Workshop on Logic and Computer Science - Preface. Acta Cybern. 18(1): 3-5 (2007) - [j33]Piotr Berman, Bhaskar DasGupta, Dhruv Mubayi, Robert H. Sloan, György Turán, Yi Zhang:
The inverse protein folding problem on 2D and 3D lattices. Discret. Appl. Math. 155(6-7): 719-732 (2007) - [j32]Robert H. Sloan, Balázs Szörényi, György Turán:
Revising threshold functions. Theor. Comput. Sci. 382(3): 198-208 (2007) - [c28]Marina Langlois, Robert H. Sloan, György Turán:
Horn Upper Bounds and Renaming. SAT 2007: 80-93 - 2006
- [j31]Zoltán Füredi, Robert H. Sloan, Ken Takata, György Turán:
On set systems with a threshold property. Discret. Math. 306(23): 3097-3111 (2006) - [j30]Dhruv Mubayi, György Turán, Yi Zhao:
The DNF exception problem. Theor. Comput. Sci. 352(1-3): 85-96 (2006) - [c27]György Turán:
On Learning and Logic. COLT 2006: 2-3 - [c26]Péter Hajnal, Zhihao Liu, György Turán:
Nearest Neighbor Representations of Boolean Functions. AI&M 2006 - [c25]Marina Langlois, Robert H. Sloan, György Turán:
Horn Upper Bounds of Random 3-CNF: A Computational Study. AI&M 2006 - 2005
- [i3]Robert H. Sloan, Balázs Szörényi, György Turán:
On k-term DNF with largest number of prime implicants. Electron. Colloquium Comput. Complex. TR05 (2005) - 2004
- [j29]Judy Goldsmith
, Robert H. Sloan, Balázs Szörényi, György Turán:
Theory revision with queries: Horn, read-once, and parity formulas. Artif. Intell. 156(2): 139-176 (2004) - [j28]Martin Grohe
, György Turán:
Learnability and Definability in Trees and Similar Structures. Theory Comput. Syst. 37(1): 193-220 (2004) - [c24]Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán:
New Revision Algorithms. ALT 2004: 395-409 - [c23]Piotr Berman, Bhaskar DasGupta, Dhruv Mubayi, Robert H. Sloan, György Turán, Yi Zhang:
The Protein Sequence Design Problem in Canonical Model on 2D and 3D Lattices. CPM 2004: 244-253 - 2003
- [c22]Robert H. Sloan, Balázs Szörényi, György Turán:
Projective DNF Formulae and Their Revision. COLT 2003: 625-639 - [i2]Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán:
Theory Revision with Queries: Horn, Read-once, and Parity Formulas. Electron. Colloquium Comput. Complex. TR03 (2003) - 2002
- [j27]Judy Goldsmith
, Robert H. Sloan, György Turán:
Theory Revision with Queries: DNF Formulas. Mach. Learn. 47(2-3): 257-295 (2002) - [c21]Martin Grohe, György Turán:
Learnability and Definability in Trees and Similar Structures. STACS 2002: 645-658 - 2001
- [j26]Tamás Horváth, György Turán:
Learning logic programs with structured background knowledge. Artif. Intell. 128(1-2): 31-97 (2001) - 2000
- [j25]György Turán:
Remarks on computational learning theory. Ann. Math. Artif. Intell. 28(1-4): 43-45 (2000) - [c20]Judy Goldsmith, Robert H. Sloan, Balázs Szörényi, György Turán:
Improved Algorithms for Theory Revision with Queries. COLT 2000: 236-247
1990 – 1999
- 1999
- [c19]Robert H. Sloan, György Turán:
On Theory Revision with Queries. COLT 1999: 41-52 - 1998
- [j24]Robert H. Sloan, Ken Takata, György Turán:
On Frequent Sets of Boolean Matrices. Ann. Math. Artif. Intell. 24(1-4): 193-209 (1998) - [c18]Irene Tsapara, György Turán:
Learning Atomic Formulas with Prescribed Properties. COLT 1998: 166-174 - [i1]Robert H. Sloan, Ken Takata, György Turán:
On frequent sets of Boolean matrices. Electron. Colloquium Comput. Complex. TR98 (1998) - 1997
- [j23]György Turán, Farrokh Vatan:
On the Computation of Boolean Functions by Analog Circuits of Bounded Fan-In. J. Comput. Syst. Sci. 54(1): 199-212 (1997) - [j22]Dana Angluin, Martins Krikis, Robert H. Sloan, György Turán:
Malicious Omissions and Errors in Answers to Membership Queries. Mach. Learn. 28(2-3): 211-255 (1997) - [c17]Tamás Horváth, Robert H. Sloan, György Turán:
Learning Logic Programs by Using the Product Homomorphism Method. COLT 1997: 10-20 - [c16]Robert H. Sloan, György Turán:
Learning from Incomplete Boundary Queries Using Split Graphs and Hypergraphs. EuroCOLT 1997: 38-50 - 1996
- [j21]György Turán, Farrokh Vatan:
A Size-Depth Trade-Off for the Analog Computation of Boolean Functions. Inf. Process. Lett. 59(5): 251-254 (1996) - [c15]Tamás Horváth, Robert H. Sloan, György Turán:
Learning Logic Programs with Random Classification Noise. Inductive Logic Programming Workshop 1996: 315-336 - 1995
- [j20]György Turán:
On the Complexity of Planar Boolean Circuits. Comput. Complex. 5(1): 24-42 (1995) - 1994
- [j19]Wolfgang Maass, György Turán:
Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts. Mach. Learn. 14(1): 251-269 (1994) - [c14]Robert H. Sloan, György Turán:
Learning with Queries but Incomplete Information (Extended Abstract). COLT 1994: 237-245 - [c13]György Turán, Farrokh Vatan:
On the Computation of Boolean Functions by Analog Circuits of Bounded Fan-in (Extended Abstract). FOCS 1994: 553-564 - 1993
- [j18]Wolfgang Maass, Georg Schnitger, Endre Szemerédi, György Turán:
Two Tapes Versus One for Off-Line Turing Machines. Comput. Complex. 3: 392-401 (1993) - [j17]Hans Dietmar Gröger, György Turán:
A Liniear lower bound for the size of threshold circuits. Bull. EATCS 50: 220-221 (1993) - [j16]András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán:
Threshold Circuits of Bounded Depth. J. Comput. Syst. Sci. 46(2): 129-154 (1993) - [c12]György Turán:
Lower Bounds for PAC Learning with Queries. COLT 1993: 384-391 - 1992
- [j15]Ulrich Faigle, Rainer Schrader, György Turán:
The Communication Complexity of Interval Orders. Discret. Appl. Math. 40(1): 19-28 (1992) - [j14]Wolfgang Maass, György Turán:
Lower Bound Methods and Separation Results for On-Line Learning Models. Mach. Learn. 9: 107-145 (1992) - 1991
- [c11]György Turán:
A Survey of Some Aspects of Computational Learning Theory (Extended Abstract). FCT 1991: 89-103 - [c10]Hans Dietmar Gröger, György Turán:
On Linear Decision Trees Computing Boolean Functions. ICALP 1991: 707-718 - 1990
- [c9]Wolfgang Maass, György Turán:
On the Complexity of Learning from Counterexamples and Membership Queries (abstract). COLT 1990: 391 - [c8]Wolfgang Maass, György Turán:
On the Complexity of Learning from Counterexamples and Membership Queries. FOCS 1990: 203-210
1980 – 1989
- 1989
- [j13]Ulrich Faigle, Walter Kern, György Turán:
On the performance of on-line algorithms for partition problems. Acta Cybern. 9(2): 107-119 (1989) - [j12]György Turán:
Lower Bounds for Synchronous Circuits and Planar Circuits. Inf. Process. Lett. 30(1): 37-40 (1989) - [c7]György Turán:
On Restricted Boolean Circuits. FCT 1989: 460-469 - [c6]Wolfgang Maass, György Turán:
On the Complexity of Learning From Counterexamples (Extended Abstract). FOCS 1989: 262-267 - 1988
- [j11]Ulrich Faigle, György Turán:
Sorting and Recognition Problems for Ordered Sets. SIAM J. Comput. 17(1): 100-113 (1988) - [j10]Samuel R. Buss, György Turán:
Resolution Proofs of Generalized Pigeonhole Principles. Theor. Comput. Sci. 62(3): 311-317 (1988) - [c5]András Hajnal, Wolfgang Maass, György Turán:
On the Communication Complexity of Graph Properties. STOC 1988: 186-191 - 1987
- [j9]William J. Cook, Collette R. Coullard, György Turán:
On the complexity of cutting-plane proofs. Discret. Appl. Math. 18(1): 25-38 (1987) - [j8]Ulrich Faigle, György Turán:
On the complexity of interval orders and semiorders. Discret. Math. 63(2-3): 131-141 (1987) - [j7]László Babai
, Péter Hajnal
, Endre Szemerédi, György Turán:
A Lower Bound for Read-Once-Only Branching Programs. J. Comput. Syst. Sci. 35(2): 153-162 (1987) - [j6]László Babai
, György Turán:
The Complexity of Defining a Relation on a Finite Graph. Math. Log. Q. 33(3): 277-288 (1987) - [c4]András Hajnal, Wolfgang Maass, Pavel Pudlák, Mario Szegedy, György Turán:
Threshold circuits of bounded depth. FOCS 1987: 99-110 - 1986
- [j5]Ulrich Faigle, László Lovász, Rainer Schrader, György Turán:
Searching in Trees, Series-Parallel and Interval Orders. SIAM J. Comput. 15(4): 1075-1084 (1986) - [c3]Miklós Ajtai, László Babai, Péter Hajnal, János Komlós, Pavel Pudlák, Vojtech Rödl, Endre Szemerédi, György Turán:
Two lower bounds for branching programs. STOC 1986: 30-38 - 1985
- [c2]Ulrich Faigle, György Turán:
Sorting and Recognition Problems for Ordered Sets. STACS 1985: 109-118 - 1984
- [j4]György Turán:
On the succinct representation of graphs. Discret. Appl. Math. 8(3): 289-294 (1984) - [j3]György Turán:
On the definability of properties of finite graphs. Discret. Math. 49(3): 291-302 (1984) - [j2]György Turán:
The Critical Complexity of Graph Properties. Inf. Process. Lett. 18(3): 151-153 (1984) - 1983
- [j1]György Turán:
On the complexity of graph grammars. Acta Cybern. 6(3): 271-280 (1983) - 1981
- [c1]György Turán:
On Cellular Graph-Automata and Second-Order Definable Graph-Properties. FCT 1981: 384-393
Coauthor Index
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