K. Chatterjee, R. Ibsen-Jensen, and A. Pavlogiannis, “Faster algorithms for quantitative verification in bounded treewidth graphs,” Formal Methods in System Design, vol. 57. Springer, pp. 401–428, 2021.

K. Chatterjee, E. K. Goharshady, P. Novotný, J. Zárevúcky, and D. Zikelic, “On lexicographic proof rules for probabilistic termination,” in 24th International Symposium on Formal Methods, Virtual, 2021, vol. 13047, pp. 619–639.

K. Chatterjee, E. K. Goharshady, P. Novotný, and D. Zikelic, “Proving non-termination by program reversal,” in Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, Online, 2021, pp. 1033–1048.

K. Chatterjee, A. K. Goharshady, P. Novotný, and D. Zikelic, “RevTerm.” Association for Computing Machinery, 2021.

A. K. Goharshady, “Parameterized and algebro-geometric advances in static program analysis,” Institute of Science and Technology Austria, 2021.

L. Schmid, “Evolution of cooperation via (in)direct reciprocity under imperfect information,” Institute of Science and Technology Austria, 2021.

L. Schmid, P. Shati, C. Hilbe, and K. Chatterjee, “The evolution of indirect reciprocity under action and assessment generosity,” Scientific Reports, vol. 11, no. 1. Springer Nature, 2021.

L. Schmid, K. Chatterjee, C. Hilbe, and M. A. Nowak, “A unified framework of direct and indirect reciprocity,” Nature Human Behaviour, vol. 5, no. 10. Springer Nature, pp. 1292–1302, 2021.

L. Schmid, K. Chatterjee, and S. Schmid, “The evolutionary price of anarchy: Locally bounded agents in a dynamic virus game,” in Proceedings of the 23rd International Conference on Principles of Distributed Systems, Neuchâtel, Switzerland, 2020, vol. 153.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Multi-dimensional long-run average problems for vector addition systems with states,” in 31st International Conference on Concurrency Theory, Virtual, 2020, vol. 171.

K. Chatterjee, R. Ibsen-Jensen, I. R. Jecker, and J. Svoboda, “Simplified game of life: Algorithms and complexity,” in 45th International Symposium on Mathematical Foundations of Computer Science, Prague, Czech Republic, 2020, vol. 170.

I. R. Jecker, O. Kupferman, and N. Mazzocchi, “Unary prime languages,” in 45th International Symposium on Mathematical Foundations of Computer Science, Prague, Czech Republic, 2020, vol. 170.

P. Ashok, K. Chatterjee, J. Kretinsky, M. Weininger, and T. Winkler, “Approximating values of generalized-reachability stochastic games,” in Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science , Saarbrücken, Germany, 2020, pp. 102–115.

K. Kaveh, A. McAvoy, K. Chatterjee, and M. A. Nowak, “The Moran process on 2-chromatic graphs,” PLOS Computational Biology, vol. 16, no. 11. Public Library of Science, 2020.

M. Kleshnina, S. Streipert, J. Filar, and K. Chatterjee, “Prioritised learning in snowdrift-type games,” Mathematics, vol. 8, no. 11. MDPI, 2020.

A. Pavlogiannis, N. Schaumberger, U. Schmid, and K. Chatterjee, “Precedence-aware automated competitive analysis of real-time scheduling,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 11. IEEE, pp. 3981–3992, 2020.

G. Avni, R. Ibsen-Jensen, and J. Tkadlec, “All-pay bidding games on graphs,” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 02. Association for the Advancement of Artificial Intelligence, pp. 1798–1805, 2020.

B. Milutinovic, M. Stock, A. V. Grasse, E. Naderlinger, C. Hilbe, and S. Cremer, “Social immunity modulates competition between coinfecting pathogens,” Ecology Letters, vol. 23, no. 3. Wiley, pp. 565–574, 2020.

B. Milutinovic, M. Stock, A. V. Grasse, E. Naderlinger, C. Hilbe, and S. Cremer, “Social immunity modulates competition between coinfecting pathogens.” Dryad, 2020.

K. Chatterjee, M. Chmelik, D. Karkhanis, P. Novotný, and A. Royer, “Multiple-environment Markov decision processes: Efficient analysis and applications,” in Proceedings of the 30th International Conference on Automated Planning and Scheduling, Nancy, France, 2020, vol. 30, pp. 48–56.

K. Chatterjee, J. P. Katoen, M. Weininger, and T. Winkler, “Stochastic games with lexicographic reachability-safety objectives,” in International Conference on Computer Aided Verification, 2020, vol. 12225, pp. 398–420.

A. Shakiba, A. K. Goharshady, M. R. Hooshmandasl, and M. Alambardar Meybodi, “A note on belief structures and s-approximation spaces,” Iranian Journal of Mathematical Sciences and Informatics, vol. 15, no. 2. Iranian Academic Center for Education, Culture and Research, pp. 117–128, 2020.

J. Tkadlec, A. Pavlogiannis, K. Chatterjee, and M. A. Nowak, “Limits on amplifiers of natural selection under death-Birth updating,” PLoS computational biology, vol. 16. Public Library of Science, 2020.

J. Tkadlec, “A role of graphs in evolutionary processes,” Institute of Science and Technology Austria, 2020.

R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, and M. Nowak, “Data and mathematica notebooks for plotting figures from language learning with communication between learners from language acquisition with communication between learners.” Royal Society, 2020.

P. Wang, H. Fu, K. Chatterjee, Y. Deng, and M. Xu, “Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time,” in Proceedings of the ACM on Programming Languages, 2020, vol. 4, no. POPL.

T. Brázdil, K. Chatterjee, P. Novotný, and J. Vahala, “Reinforcement learning of risk-constrained policies in Markov decision processes,” Proceedings of the 34th AAAI Conference on Artificial Intelligence, vol. 34, no. 06. Association for the Advancement of Artificial Intelligence, pp. 9794–9801, 2020.

O. Aichholzer, J. Obmann, P. Patak, D. Perz, and J. Tkadlec, “Disjoint tree-compatible plane perfect matchings,” in 36th European Workshop on Computational Geometry, Würzburg, Germany, Virtual, 2020.

K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and A. Pavlogiannis, “Optimal and perfectly parallel algorithms for on-demand data-flow analysis,” in European Symposium on Programming, Dublin, Ireland, 2020, vol. 12075, pp. 112–140.

A. Asadi, K. Chatterjee, A. K. Goharshady, K. Mohammadi, and A. Pavlogiannis, “Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth,” in Automated Technology for Verification and Analysis, Hanoi, Vietnam, 2020, vol. 12302, pp. 253–270.

K. Chatterjee, H. Fu, A. K. Goharshady, and E. K. Goharshady, “Polynomial invariant generation for non-deterministic recursive programs,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London, United Kingdom, 2020, pp. 672–687.

A. K. Goharshady and F. Mohammadi, “An efficient algorithm for computing network reliability in small treewidth,” Reliability Engineering and System Safety, vol. 193. Elsevier, 2020.

K. Chatterjee, W. Dvorák, M. H. Henzinger, and A. Svozil, “Near-linear time algorithms for Streett objectives in graphs and MDPs,” in Leibniz International Proceedings in Informatics, Amsterdam, Netherlands, 2019, vol. 140.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Long-run average behavior of vector addition systems with states,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

K. Chatterjee and N. Piterman, “Combinations of Qualitative Winning for Stochastic Parity Games,” presented at the CONCUR: International Conference on Concurrency Theory, Amsterdam, Netherlands, 2019, vol. 140.

G. Avni, T. A. Henzinger, and D. Zikelic, “Bidding mechanisms in graph games,” presented at the MFCS: nternational Symposium on Mathematical Foundations of Computer Science, Aachen, Germany, 2019, vol. 138.

H. Fu and K. Chatterjee, “Termination of nondeterministic probabilistic programs,” in International Conference on Verification, Model Checking, and Abstract Interpretation, Cascais, Portugal, 2019, vol. 11388, pp. 468–490.

G. Avni, R. Bloem, K. Chatterjee, T. A. Henzinger, B. Konighofer, and S. Pranger, “Run-time optimization for learned controllers through quantitative games,” in 31st International Conference on Computer-Aided Verification, New York, NY, United States, 2019, vol. 11561, pp. 630–649.

O. P. Hauser, C. Hilbe, K. Chatterjee, and M. A. Nowak, “Social dilemmas among unequals,” Nature, vol. 572, no. 7770. Springer Nature, pp. 524–527, 2019.

P. Ashok, T. Brázdil, K. Chatterjee, J. Ketínský, C. Lampert, and V. Toman, “Strategy representation by decision trees with linear classifiers,” in 16th International Conference on Quantitative Evaluation of Systems, Glasgow, United Kingdom, 2019, vol. 11785, pp. 109–128.

T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, and D. Velan, “Deciding fast termination for probabilistic VASS with nondeterminism,” in International Symposium on Automated Technology for Verification and Analysis, Taipei, Taiwan, 2019, vol. 11781, pp. 462–478.

J. Tkadlec, A. Pavlogiannis, K. Chatterjee, and M. A. Nowak, “Population structure determines the tradeoff between fixation probability and fixation time,” Communications Biology, vol. 2. Springer Nature, 2019.

K. Chatterjee, A. Pavlogiannis, and V. Toman, “Value-centric dynamic partial order reduction,” in Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications, Athens, Greece, 2019, vol. 3.

K. Chatterjee and L. Doyen, “Graph planning with expected finite horizon,” in 34th Annual ACM/IEEE Symposium on Logic in Computer Science, Vancouver, BC, Canada, 2019, pp. 1–13.

A. Biniaz et al., “Token swapping on trees,” arXiv. .

M. Huang, H. Fu, K. Chatterjee, and A. K. Goharshady, “Modular verification for almost-sure termination of probabilistic programs,” in Proceedings of the 34th ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications , Athens, Greece, 2019, vol. 3.

K. Chatterjee, A. K. Goharshady, N. Okati, and A. Pavlogiannis, “Efficient parameterized algorithms for data packing,” Proceedings of the ACM on Programming Languages, vol. 3, no. POPL. ACM, 2019.

K. Chatterjee, A. K. Goharshady, and A. Pourdamghani, “Probabilistic smart contracts: Secure randomness on the blockchain,” in IEEE International Conference on Blockchain and Cryptocurrency, Seoul, Korea, 2019.

K. Chatterjee, A. K. Goharshady, and A. Pourdamghani, “Hybrid Mining: Exploiting blockchain’s computational power for distributed problem solving,” in Proceedings of the 34th ACM Symposium on Applied Computing, Limassol, Cyprus, 2019, vol. Part 7772, pp. 374–381.

P. Wang, H. Fu, A. K. Goharshady, K. Chatterjee, X. Qin, and W. Shi, “Cost analysis of nondeterministic probabilistic programs,” in PLDI 2019: Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, Phoenix, AZ, United States, 2019, pp. 204–220.

K. Chatterjee, A. K. Goharshady, and E. K. Goharshady, “The treewidth of smart contracts,” in Proceedings of the 34th ACM Symposium on Applied Computing, Limassol, Cyprus, vol. Part 7772, pp. 400–408.

K. Chatterjee, A. K. Goharshady, P. Goyal, R. Ibsen-Jensen, and A. Pavlogiannis, “Faster algorithms for dynamic algebraic queries in basic RSMs with constant treewidth,” ACM Transactions on Programming Languages and Systems, vol. 41, no. 4. ACM, 2019.

K. Chatterjee, H. Fu, and A. K. Goharshady, “Non-polynomial worst-case analysis of recursive programs,” ACM Transactions on Programming Languages and Systems, vol. 41, no. 4. ACM, 2019.

K. Chatterjee, W. Dvoák, M. H. Henzinger, and A. Svozil, “Quasipolynomial set-based symbolic algorithms for parity games,” in 22nd International Conference on Logic for Programming, Artificial Intelligence and Reasoning, Awassa, Ethiopia, 2018, vol. 57, pp. 233–253.

S. Agrawal, K. Chatterjee, and P. Novotný, “Lexicographic ranking supermartingales: an efficient approach to termination of probabilistic programs,” presented at the POPL: Principles of Programming Languages, Los Angeles, CA, USA, 2018, vol. 2, no. POPL.

R. Bloem, K. Chatterjee, and B. Jobstmann, “Graph games and reactive synthesis,” in Handbook of Model Checking, 1st ed., T. A. Henzinger, E. M. Clarke, H. Veith, and R. Bloem, Eds. Springer, 2018, pp. 921–962.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Computing average response time,” in Principles of Modeling, vol. 10760, M. Lohstroh, P. Derler, and M. Sirjani, Eds. Springer, 2018, pp. 143–161.

J. Reiter, C. Hilbe, D. Rand, K. Chatterjee, and M. Nowak, “Crosstalk in concurrent repeated games impedes direct reciprocity and requires stronger levels of forgiveness,” Nature Communications, vol. 9, no. 1. Nature Publishing Group, 2018.

T. Brázdil, K. Chatterjee, A. Kudera, P. Novotný, D. Velan, and F. Zuleger, “Efficient algorithms for asymptotic bounds on termination time in VASS,” presented at the LICS: Logic in Computer Science, Oxford, United Kingdom, 2018, vol. 8033, pp. 185–194.

C. Hilbe, S. Simsa, K. Chatterjee, and M. Nowak, “Evolution of cooperation in stochastic games,” Nature, vol. 559, no. 7713. Nature Publishing Group, pp. 246–249, 2018.

K. Chatterjee, W. Dvorák, M. H. Henzinger, and V. Loitzenbauer, “Lower bounds for symbolic computation on graphs: Strongly connected components, liveness, safety, and diameter,” presented at the SODA: Symposium on Discrete Algorithms, New Orleans, Louisiana, United States, 2018, pp. 2341–2356.

M. Huang, H. Fu, and K. Chatterjee, “New approaches for almost-sure termination of probabilistic programs,” presented at the 16th Asian Symposium on Programming Languages and Systems, APLAS, Wellington, New Zealand, 2018, vol. 11275, pp. 181–201.

C. Hilbe, K. Chatterjee, and M. Nowak, “Partners and rivals in direct reciprocity,” Nature Human Behaviour, vol. 2. Nature Publishing Group, pp. 469–477, 2018.

S. Arming, E. Bartocci, K. Chatterjee, J. P. Katoen, and A. Sokolova, “Parameter-independent strategies for pMDPs via POMDPs,” presented at the QEST: Quantitative Evaluation of Systems, Beijing, China, 2018, vol. 11024, pp. 53–70.

T. Brázdil, K. Chatterjee, J. Kretinsky, and V. Toman, “Strategy representation by decision trees in reactive synthesis,” presented at the TACAS 2018: Tools and Algorithms for the Construction and Analysis of Systems, Thessaloniki, Greece, 2018, vol. 10805, pp. 385–407.

K. Chatterjee, M. H. Henzinger, V. Loitzenbauer, S. Oraee, and V. Toman, “Symbolic algorithms for graphs and Markov decision processes with fairness objectives,” presented at the CAV: Computer Aided Verification, Oxford, United Kingdom, 2018, vol. 10982, pp. 178–197.

M. Hoffman, C. Hilbe, and M. Nowak, “The signal-burying game can explain why we obscure positive traits and good deeds,” Nature Human Behaviour, vol. 2. Nature Publishing Group, pp. 397–404, 2018.

K. A. Hansen, R. Ibsen-Jensen, and A. Neyman, “The Big Match with a clock and a bit of memory,” in Proceedings of the 2018 ACM Conference on Economics and Computation  - EC ’18, Ithaca, NY, United States, 2018, pp. 149–150.

K. Chatterjee, H. Fu, P. Novotný, and R. Hasheminezhad, “Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs,” ACM Transactions on Programming Languages and Systems, vol. 40, no. 2. Association for Computing Machinery (ACM), 2018.

K. Horák, B. Bosanský, and K. Chatterjee, “Goal-HSVI: Heuristic search value iteration for goal-POMDPs,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 2018, vol. 2018–July, pp. 4764–4770.

K. Chatterjee, A. Elgyütt, P. Novotný, and O. Rouillé, “Expectation optimization with probabilistic guarantees in POMDPs with discounted-sum objectives,” presented at the IJCAI: International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 2018, vol. 2018, pp. 4692–4699.

K. Chatterjee, M. Chemlík, and U. Topcu, “Sensor synthesis for POMDPs with reachability objectives,” presented at the ICAPS: International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018, vol. 2018, pp. 47–55.

K. Chatterjee, W. Dvorák, M. H. Henzinger, and A. Svozil, “Algorithms and conditional lower bounds for planning problems,” in 28th International Conference on Automated Planning and Scheduling , Delft, Netherlands, 2018.

K. Chatterjee, A. Pavlogiannis, A. Kößler, and U. Schmid, “Automated competitive analysis of real time scheduling with graph games,” Real-Time Systems, vol. 54, no. 1. Springer, pp. 166–207, 2018.

R. Ibsen-Jensen, J. Tkadlec, K. Chatterjee, and M. Nowak, “Language acquisition with communication between learners,” Journal of the Royal Society Interface, vol. 15, no. 140. The Royal Society, 2018.

A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. A. Nowak, “Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory,” Communications Biology, vol. 1, no. 1. Springer Nature, 2018.

K. Chatterjee, A. K. Goharshady, R. Ibsen-Jensen, and Y. Velner, “Ergodic mean-payoff games for the analysis of attacks in crypto-currencies,” presented at the CONCUR: Conference on Concurrency Theory, Beijing, China, 2018, vol. 118.

K. Chatterjee, A. K. Goharshady, and Y. Velner, “Quantitative analysis of smart contracts,” presented at the ESOP: European Symposium on Programming, Thessaloniki, Greece, 2018, vol. 10801, pp. 739–767.

A. K. Goharshady, A. Behrouz, and K. Chatterjee, “Secure Credit Reporting on the Blockchain,” in Proceedings of the IEEE International Conference on Blockchain, Halifax, Canada, 2018, pp. 1343–1348.

K. Chatterjee, R. Ibsen-Jensen, A. K. Goharshady, and A. Pavlogiannis, “Algorithms for algebraic path properties in concurrent systems of constant treewidth components,” ACM Transactions on Programming Languages and Systems, vol. 40, no. 3. Association for Computing Machinery (ACM), 2018.

K. Chatterjee, H. Fu, A. K. Goharshady, and N. Okati, “Computational approaches for stochastic shortest path on succinct MDPs,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 2018, vol. 2018, pp. 4700–4707.

C. Hilbe, L. Schmid, J. Tkadlec, K. Chatterjee, and M. Nowak, “Indirect reciprocity with private, noisy, and incomplete information,” PNAS, vol. 115, no. 48. National Academy of Sciences, pp. 12241–12246, 2018.

A. Mciver, C. Morgan, B. L. Kaminski, and J. P. Katoen, “A new proof rule for almost-sure termination,” Proceedings of the ACM on Programming Languages, vol. 2, no. POPL. Association for Computing Machinery, 2017.

K. Chatterjee, M. H. Henzinger, and V. Loitzenbauer, “Improved algorithms for parity and Streett objectives,” Logical Methods in Computer Science, vol. 13, no. 3. International Federation of Computational Logic, 2017.

K. Chatterjee, Z. Ketínská, and J. Kretinsky, “Unifying two views on multiple mean-payoff objectives in Markov decision processes,” Logical Methods in Computer Science, vol. 13, no. 2. International Federation of Computational Logic, 2017.

K. Chatterjee, T. A. Henzinger, and J. Otop, “Nested weighted automata,” ACM Transactions on Computational Logic (TOCL), vol. 18, no. 4. ACM, 2017.

K. Chatterjee, T. A. Henzinger, R. Ibsen-Jensen, and J. Otop, “Edit distance for pushdown automata,” Logical Methods in Computer Science, vol. 13, no. 3. International Federation of Computational Logic, 2017.

A. Pavlogiannis, J. Tkadlec, K. Chatterjee, and M. Nowak, “Amplification on undirected population structures: Comets beat stars,” Scientific Reports, vol. 7, no. 1. Nature Publishing Group, 2017.

K. Chatterjee, B. Choudhary, and A. Pavlogiannis, “Optimal Dyck reachability for data-dependence and Alias analysis,” Proceedings of the ACM on Programming Languages, vol. 2, no. POPL. Association for Computing Machinery, 2017.

K. Chatterjee, B. Choudhary, and A. Pavlogiannis, Optimal Dyck reachability for data-dependence and alias analysis. IST Austria, 2017.

M. Chalupa, K. Chatterjee, A. Pavlogiannis, N. Sinha, and K. Vaidya, “Data-centric dynamic partial order reduction,” Proceedings of the ACM on Programming Languages, vol. 2, no. POPL. Association for Computing Machinery, 2017.

M. Chalupa, K. Chatterjee, A. Pavlogiannis, N. Sinha, and K. Vaidya, Data-centric dynamic partial order reduction. IST Austria, 2017.

K. Chatterjee, R. Ibsen-Jensen, and M. Nowak, “Faster Monte Carlo algorithms for fixation probability of the Moran process on undirected graphs,” in Leibniz International Proceedings in Informatics, Aalborg, Denmark, 2017, vol. 83.

K. Chatterjee, M. H. Henzinger, and A. Svozil, “Faster algorithms for mean-payoff parity games,” in Leibniz International Proceedings in Informatics, Aalborg, Denmark, 2017, vol. 83.

K. Chatterjee, K. Hansen, and R. Ibsen-Jensen, “Strategy complexity of concurrent safety games,” in Leibniz International Proceedings in Informatics, Aalborg, Denmark, 2017, vol. 83.

K. Chatterjee, L. Doyen, and T. A. Henzinger, “The cost of exactness in quantitative reachability,” in Models, Algorithms, Logics and Tools, vol. 10460, L. Aceto, G. Bacci, A. Ingólfsdóttir, A. Legay, and R. Mardare, Eds. Springer, 2017, pp. 367–381.

K. Chatterjee, H. Fu, and A. Murhekar, “Automated recurrence analysis for almost linear expected runtime bounds,” presented at the CAV: Computer Aided Verification, Heidelberg, Germany, 2017, vol. 10426, pp. 118–139.

P. Ashok, K. Chatterjee, P. Daca, J. Kretinsky, and T. Meggendorfer, “Value iteration for long run average reward in markov decision processes,” presented at the CAV: Computer Aided Verification, Heidelberg, Germany, 2017, vol. 10426, pp. 201–221.

K. Chatterjee, W. Dvorák, M. H. Henzinger, and V. Loitzenbauer, “Improved set-based symbolic algorithms for parity games,” presented at the CSL: Conference on Computer Science Logic, Stockholm, Sweden, 2017, vol. 82.

A. Makohon Moore et al., “Limited heterogeneity of known driver gene mutations among the metastases of individual patients with pancreatic cancer,” Nature Genetics, vol. 49, no. 3. Nature Publishing Group, pp. 358–366, 2017.