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Travelled to:
1 × Canada
1 × Croatia
1 × Cyprus
1 × Denmark
1 × Estonia
1 × Finland
1 × Greece
1 × India
1 × Poland
1 × Russia
2 × Germany
2 × Hungary
2 × Italy
2 × Japan
2 × Spain
3 × Austria
3 × Portugal
3 × United Kingdom
4 × France
9 × USA
Collaborated with:
T.A.Henzinger L.Doyen A.Pavlogiannis A.K.Goharshady H.F.0001 R.Ibsen-Jensen M.Jurdzinski B.Jobstmann Y.Velner T.Brázdil J.Kretínský M.Henzinger N.Fijalkow A.Kucera Petr Novotný 0001 M.Chmelik R.Bloem M.Tracol V.Loitzenbauer V.Raman V.Forejt R.Singh S.Chaubal M.Y.Vardi J.Otop L.d.Alfaro P.Daca V.Toman J.Raskin J.Lacki R.Majumdar A.Radhakrishna Peixin Wang Z.Komárková A.Gaiser S.Rubin P.Kamath F.Horn K.Sen N.Piterman A.Murhekar Dorde Zikelic Sheshansh Agrawal Bhavya Choudhary P.Goyal S.Jacobs R.Könighofer H.Gimbert Y.Oualhadj S.Nain E.Filiot J.G.Reiter I.Bozic M.A.Nowak P.Novotný M.Joglekar N.Shah U.Boker O.Kupferman C.Sánchez B.Kragl S.Mishra W.Dvorák M.Huang Rouzbeh Hasheminezhad Nastaran Okati A.Fellner P.Cerný V.Brozek K.Greimel D.Berwanger M.D.Wulf P.Ashok T.Meggendorfer S.Oraee Marek Chalupa N.Sinha Kapil Vaidya Y.Deng Ming Xu D.Ma T.Zhao J.Palsberg G.Avni B.Könighofer S.Pranger Xudong Qin Wenjun Shi A.Ghosal D.T.Iercan C.M.Kirsch C.Pinello A.L.Sangiovanni-Vincentelli
Talks about:
game (27) probabilist (13) algorithm (13) program (11) analysi (11) object (11) synthesi (10) quantit (10) markov (10) stochast (9)

Person: Krishnendu Chatterjee

DBLP DBLP: Chatterjee:Krishnendu

Contributed to:

CAV 20152015
ICALP (2) 20152015
LICS 20152015
POPL 20152015
TACAS 20152015
CAV 20142014
FoSSaCS 20142014
ICALP (2) 20142014
VMCAI 20142014
CAV 20132013
CSL 20132013
LATA 20132013
LICS 20132013
CAV 20122012
CSL 20122012
FOSSACS 20122012
LICS 20122012
VMCAI 20122012
CAV 20112011
LATA 20112011
LICS 20112011
TACAS 20112011
CAV 20102010
FASE 20102010
ICALP (2) 20102010
CAV 20092009
ICALP (2) 20092009
LICS 20092009
TACAS 20092009
CSL 20082008
DATE 20082008
FoSSaCS 20082008
FoSSaCS 20072007
TACAS 20072007
CSL 20062006
TACAS 20062006
ICALP 20052005
LICS 20052005
CSL 20042004
LICS 20042004
CSL 20032003
SAS 20032003
ESOP 20172017
ESOP 20182018
CAV (1) 20162016
CAV (1) 20172017
CAV (2) 20172017
CSL 20172017
CAV (2) 20182018
CAV (1) 20192019
OOPSLA 20192019
POPL 20162016
POPL 20172017
POPL 20182018
PLDI 20192019
POPL 20192019
POPL 20202020

Wrote 83 papers:

CAV-2015-BrazdilCCFK #learning #markov #process
Counterexample Explanation by Learning Small Strategies in Markov Decision Processes (TB, KC, MC, AF, JK), pp. 158–177.
CAV-2015-ChatterjeeIP #algorithm #constant #graph #performance #verification
Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs (KC, RIJ, AP), pp. 140–157.
ICALP-v2-2015-Chatterjee0V #complexity #component #probability #synthesis
The Complexity of Synthesis from Probabilistic Components (KC, LD, MYV), pp. 108–120.
ICALP-v2-2015-ChatterjeeHIO #automaton #distance #edit distance
Edit Distance for Pushdown Automata (KC, TAH, RIJ, JO), pp. 121–133.
LICS-2015-ChatterjeeHL #algorithm
Improved Algorithms for One-Pair and k-Pair Streett Objectives (KC, MH, VL), pp. 269–280.
LICS-2015-ChatterjeeHO #automaton
Nested Weighted Automata (KC, TAH, JO), pp. 725–737.
LICS-2015-ChatterjeeKK #markov #multi #process
Unifying Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes (KC, ZK, JK), pp. 244–256.
POPL-2015-ChatterjeeIPG #algebra #algorithm #constant #performance #recursion #state machine
Faster Algorithms for Algebraic Path Properties in Recursive State Machines with Constant Treewidth (KC, RIJ, AP, PG), pp. 97–109.
POPL-2015-ChatterjeePV #analysis #interprocedural
Quantitative Interprocedural Analysis (KC, AP, YV), pp. 539–551.
TACAS-2015-BloemCJK #concurrent #source code #synthesis
Assume-Guarantee Synthesis for Concurrent Reactive Programs with Partial Information (RB, KC, SJ, RK), pp. 517–532.
TACAS-2015-BrazdilCFK #multi #named #synthesis
MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives (TB, KC, VF, AK), pp. 181–187.
CAV-2014-ChatterjeeCD #analysis #probability
CEGAR for Qualitative Analysis of Probabilistic Systems (KC, MC, PD), pp. 473–490.
FoSSaCS-2014-Chatterjee0GO #game studies #probability
Perfect-Information Stochastic Mean-Payoff Parity Games (KC, LD, HG, YO), pp. 210–225.
FoSSaCS-2014-Chatterjee0NV #complexity #game studies #probability
The Complexity of Partial-Observation Stochastic Parity Games with Finite-Memory Strategies (KC, LD, SN, MYV), pp. 242–257.
ICALP-v2-2014-Chatterjee0 #game studies
Games with a Weak Adversary (KC, LD), pp. 110–121.
ICALP-v2-2014-ChatterjeeI #complexity #game studies
The Complexity of Ergodic Mean-payoff Games (KC, RIJ), pp. 122–133.
VMCAI-2014-Chatterjee0FR #game studies
Doomsday Equilibria for Omega-Regular Games (KC, LD, EF, JFR), pp. 78–97.
CAV-2013-ChatterjeeGK #automaton #ltl #model checking #probability #synthesis
Automata with Generalized Rabin Pairs for Probabilistic Model Checking and LTL Synthesis (KC, AG, JK), pp. 559–575.
CAV-2013-ChatterjeeL #algorithm #markov #performance #process
Faster Algorithms for Markov Decision Processes with Low Treewidth (KC, JL), pp. 543–558.
CAV-2013-ReiterBCN #named
TTP: Tool for Tumor Progression (JGR, IB, KC, MAN), pp. 101–106.
CSL-2013-ChatterjeeCT #decidability #markov #process #what
What is Decidable about Partially Observable Markov Decision Processes with ω-Regular Objectives (KC, MC, MT), pp. 165–180.
CSL-2013-ChatterjeeF #game studies #infinity
Infinite-state games with finitary conditions (KC, NF), pp. 181–196.
LATA-2013-ChatterjeeCR #how
How to Travel between Languages (KC, SC, SR), pp. 214–225.
LICS-2013-BrazdilCFK #markov #performance #process
Trading Performance for Stability in Markov Decision Processes (TB, KC, VF, AK), pp. 331–340.
CAV-2012-BrazdilCKN #game studies #multi #performance #synthesis
Efficient Controller Synthesis for Consumption Games with Multiple Resource Types (TB, KC, AK, PN), pp. 23–38.
CSL-2012-ChatterjeeCK #algorithm #performance #refinement
Faster Algorithms for Alternating Refinement Relations (KC, SC, PK), pp. 167–182.
FoSSaCS-2012-Chatterjee #concurrent #game studies #robust
Robustness of Structurally Equivalent Concurrent Parity Games (KC), pp. 270–285.
LICS-2012-ChatterjeeD #game studies #how #probability
Partial-Observation Stochastic Games: How to Win When Belief Fails (KC, LD), pp. 175–184.
LICS-2012-ChatterjeeT #automaton #decidability #infinity #probability #problem #word
Decidable Problems for Probabilistic Automata on Infinite Words (KC, MT), pp. 185–194.
LICS-2012-ChatterjeeV #automaton #game studies
Mean-Payoff Pushdown Games (KC, YV), pp. 195–204.
VMCAI-2012-ChatterjeeR #contract #protocol
Synthesizing Protocols for Digital Contract Signing (KC, VR), pp. 152–168.
CAV-2011-CernyCHRS #concurrent #source code #synthesis
Quantitative Synthesis for Concurrent Programs (PC, KC, TAH, AR, RS), pp. 243–259.
CAV-2011-ChatterjeeHJS #algorithm #analysis #automaton #markov #process
Symbolic Algorithms for Qualitative Analysis of Markov Decision Processes with Büchi Objectives (KC, MH, MJ, NS), pp. 260–276.
LATA-2011-ChatterjeeF
Finitary Languages (KC, NF), pp. 216–226.
LATA-2011-ChatterjeeHH #complexity #game studies
The Complexity of Request-Response Games (KC, TAH, FH), pp. 227–237.
LICS-2011-BokerCHK #cumulative #specification
Temporal Specifications with Accumulative Values (UB, KC, TAH, OK), pp. 43–52.
LICS-2011-BrazdilBCFK #markov #multi #process
Two Views on Multiple Mean-Payoff Objectives in Markov Decision Processes (TB, VB, KC, VF, AK), pp. 33–42.
TACAS-2011-ChatterjeeHJS #named #synthesis
QUASY: Quantitative Synthesis Tool (KC, TAH, BJ, RS), pp. 267–271.
CAV-2010-BloemCGHJ #liveness #robust
Robustness in the Presence of Liveness (RB, KC, KG, TAH, BJ), pp. 410–424.
CAV-2010-ChatterjeeHJR #game studies #named #probability
Gist: A Solver for Probabilistic Games (KC, TAH, BJ, AR), pp. 665–669.
CAV-2010-ChatterjeeHJS #probability
Measuring and Synthesizing Systems in Probabilistic Environments (KC, TAH, BJ, RS), pp. 380–395.
FASE-2010-ChatterjeeARS #concurrent #multi #source code #thread
Analyzing the Impact of Change in Multi-threaded Programs (KC, LdA, VR, CS), pp. 293–307.
ICALP-v2-2010-ChatterjeeD #energy #game studies
Energy Parity Games (KC, LD), pp. 599–610.
CAV-2009-BloemCHJ #quality #synthesis
Better Quality in Synthesis through Quantitative Objectives (RB, KC, TAH, BJ), pp. 140–156.
ICALP-v2-2009-ChatterjeeDH #game studies #overview #probability
A Survey of Stochastic Games with Limsup and Liminf Objectives (KC, LD, TAH), pp. 1–15.
LICS-2009-ChatterjeeDH
Expressiveness and Closure Properties for Quantitative Languages (KC, LD, TAH), pp. 199–208.
TACAS-2009-BerwangerCWDH #game studies #named
Alpaga: A Tool for Solving Parity Games with Imperfect Information (DB, KC, MDW, LD, TAH), pp. 58–61.
CSL-2008-ChatterjeeDH
Quantitative Languages (KC, LD, TAH), pp. 385–400.
DATE-2008-ChatterjeeGHIKPS #logic #realtime #reliability
Logical Reliability of Interacting Real-Time Tasks (KC, AG, TAH, DTI, CMK, CP, ALSV), pp. 909–914.
FoSSaCS-2008-ChatterjeeSH #markov #model checking
Model-Checking ω-Regular Properties of Interval Markov Chains (KC, KS, TAH), pp. 302–317.
FoSSaCS-2007-Chatterjee #game studies #probability #synthesis
Optimal Strategy Synthesis in Stochastic Müller Games (KC), pp. 138–152.
FoSSaCS-2007-ChatterjeeHP #game studies
Generalized Parity Games (KC, TAH, NP), pp. 153–167.
TACAS-2007-ChatterjeeH #synthesis
Assume-Guarantee Synthesis (KC, TAH), pp. 261–275.
CSL-2006-Chatterjee #concurrent #game studies
Concurrent Games with Tail Objectives (KC), pp. 256–270.
CSL-2006-Chatterjee06a #equilibrium #nash
Nash Equilibrium for Upward-Closed Objectives (KC), pp. 271–286.
CSL-2006-ChatterjeeDHR #algorithm #game studies
Algorithms for ω-Regular Games with Imperfect Information (KC, LD, TAH, JFR), pp. 287–302.
TACAS-2006-ChatterjeeH #game studies
Finitary Winning in ω-Regular Games (KC, TAH), pp. 257–271.
ICALP-2005-ChatterjeeAH #complexity #game studies #probability
The Complexity of Stochastic Rabin and Streett Games (KC, LdA, TAH), pp. 878–890.
LICS-2005-ChatterjeeHJ #game studies
Mean-Payoff Parity Games (KC, TAH, MJ), pp. 178–187.
CSL-2004-ChatterjeeMJ #game studies #nash #on the #probability
On Nash Equilibria in Stochastic Games (KC, RM, MJ), pp. 26–40.
LICS-2004-ChatterjeeHJ #game studies
Games with Secure Equilibria (KC, TAH, MJ), pp. 160–169.
CSL-2003-ChatterjeeJH #game studies #probability
Simple Stochastic Parity Games (KC, MJ, TAH), pp. 100–113.
SAS-2003-ChatterjeeMMZHP #analysis #source code #stack
Stack Size Analysis for Interrupt-Driven Programs (KC, DM, RM, TZ, TAH, JP), pp. 109–126.
ESOP-2017-ChatterjeeKMP #algorithm #performance #recursion #state machine
Faster Algorithms for Weighted Recursive State Machines (KC, BK, SM, AP), pp. 287–313.
ESOP-2018-ChatterjeeGV #analysis #contract
Quantitative Analysis of Smart Contracts (KC, AKG, YV), pp. 739–767.
CAV-2016-ChatterjeeFG #analysis #probability #source code #termination
Termination Analysis of Probabilistic Programs Through Positivstellensatz's (KC, HF0, AKG), pp. 3–22.
CAV-2017-AshokCDKM #markov #process
Value Iteration for Long-Run Average Reward in Markov Decision Processes (PA, KC, PD, JK, TM), pp. 201–221.
CAV-2017-ChatterjeeFM #analysis #automation #bound
Automated Recurrence Analysis for Almost-Linear Expected-Runtime Bounds (KC, HF0, AM), pp. 118–139.
CAV-2017-ChatterjeeFG #analysis #recursion #source code #worst-case
Non-polynomial Worst-Case Analysis of Recursive Programs (KC, HF0, AKG), pp. 41–63.
CSL-2017-ChatterjeeDHL #algorithm #game studies
Improved Set-Based Symbolic Algorithms for Parity Games (KC, WD, MH, VL), p. 21.
CAV-2018-ChatterjeeHLOT #algorithm #graph #markov #process
Symbolic Algorithms for Graphs and Markov Decision Processes with Fairness Objectives (KC, MH, VL, SO, VT), pp. 178–197.
CAV-2019-AvniBCHKP #game studies #optimisation #runtime
Run-Time Optimization for Learned Controllers Through Quantitative Games (GA, RB, KC, TAH, BK, SP), pp. 630–649.
OOPSLA-2019-ChatterjeePT #partial order #reduction
Value-centric dynamic partial order reduction (KC, AP, VT), p. 29.
OOPSLA-2019-Huang0CG #composition #probability #source code #termination #verification
Modular verification for almost-sure termination of probabilistic programs (MH, HF0, KC, AKG), p. 29.
POPL-2016-ChatterjeeFNH #algorithm #analysis #probability #problem #source code #termination
Algorithmic analysis of qualitative and quantitative termination problems for affine probabilistic programs (KC, HF0, PN0, RH), pp. 327–342.
POPL-2016-ChatterjeeGIP #algebra #algorithm #component #concurrent #constant
Algorithms for algebraic path properties in concurrent systems of constant treewidth components (KC, AKG, RIJ, AP), pp. 733–747.
POPL-2017-ChatterjeeNZ #invariant #probability #termination
Stochastic invariants for probabilistic termination (KC, PN0, DZ), pp. 145–160.
POPL-2018-AgrawalC0 #approach #performance #probability #ranking #source code #termination
Lexicographic ranking supermartingales: an efficient approach to termination of probabilistic programs (SA, KC, PN0), p. 32.
POPL-2018-ChalupaCPSV #partial order #reduction
Data-centric dynamic partial order reduction (MC, KC, AP, NS, KV), p. 30.
POPL-2018-ChatterjeeCP #alias #analysis #data flow #reachability
Optimal Dyck reachability for data-dependence and alias analysis (KC, BC, AP), p. 30.
PLDI-2019-Wang0GCQS #cost analysis #nondeterminism #probability #source code
Cost analysis of nondeterministic probabilistic programs (PW, HF0, AKG, KC, XQ, WS), pp. 204–220.
POPL-2019-ChatterjeeGOP #algorithm #performance
Efficient parameterized algorithms for data packing (KC, AKG, NO, AP), p. 28.
POPL-2020-WangFCDX #probability #proving #random #source code #termination
Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time (PW, HF0, KC, YD, MX), p. 30.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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