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Travelled to:
1 × China
1 × Croatia
1 × Hungary
1 × Ireland
1 × South Africa
1 × Spain
1 × Switzerland
10 × USA
2 × Canada
2 × France
2 × Russia
2 × United Kingdom
3 × India
4 × Italy
Collaborated with:
S.K.Rajamani R.Sharma A.Aiken R.Kumar T.M.Chilimbi K.Vaswani R.Mangal X.Zhang M.Naik N.E.Beckman A.Lal B.S.Gulavani H.Zhu S.Jagannathan A.Albarghouthi S.Tetali S.Chakraborty S.Gupta B.Hariharan V.Vinayakarao R.Purandare G.Claret A.D.Gordon J.Borgström S.Ozair D.Vijaykeerthy C.Hur S.Samuel A.T.Chaganty S.Gopi P.Netrapalli P.Jain P.Godefroid W.R.Harris V.B.Livshits A.Banerjee G.Ramalingam A.V.Thakur R.J.Simmons S.Padhi T.D.Millstein R.S.0001 L.D'Antoni S.Drews V.Tulsian A.Kanade B.Liblit K.K.Mehra T.A.Henzinger Y.Kannan P.Liang M.Aizatulin T.Graepel C.V.Russo
Talks about:
analysi (8) program (7) test (6) probabilist (4) learn (4) infer (4) path (4) profil (3) effici (3) verif (3)

Person: Aditya V. Nori

DBLP DBLP: Nori:Aditya_V=

Contributed to:

ESEC/FSE 20152015
ICFP 20152015
PEPM 20152015
PLDI 20152015
SAT 20152015
VMCAI 20152015
MSR 20142014
PLDI 20142014
POPL 20142014
CAV 20132013
ESEC/FSE 20132013
ESOP 20132013
ICML c3 20132013
POPL 20132013
SAS 20132013
CAV 20122012
PLDI 20122012
PLDI 20112011
SAS 20112011
ICSE 20102010
POPL 20102010
SAS 20102010
ICSE 20092009
PLDI 20092009
SAS 20092009
TACAS 20092009
TAP 20092009
ISSTA 20082008
TACAS 20082008
ESEC/FSE 20072007
POPL 20072007
FSE 20062006
CAV (1) 20192019
OOPSLA 20172017
POPL 20162016

Wrote 37 papers:

ESEC-FSE-2015-MangalZNN #approach #program analysis
A user-guided approach to program analysis (RM, XZ, AVN, MN), pp. 462–473.
ICFP-2015-ZhuNJ #learning #refinement
Learning refinement types (HZ, AVN, SJ), pp. 400–411.
PEPM-2015-VinayakaraoPN #source code
Structurally Heterogeneous Source Code Examples from Unstructured Knowledge Sources (VV, RP, AVN), pp. 21–26.
PLDI-2015-NoriORV #performance #probability #source code #synthesis
Efficient synthesis of probabilistic programs (AVN, SO, SKR, DV), pp. 208–217.
SAT-2015-MangalZNN #framework #lazy evaluation #named #satisfiability #scalability
Volt: A Lazy Grounding Framework for Solving Very Large MaxSAT Instances (RM, XZ, AVN, MN), pp. 299–306.
VMCAI-2015-ZhuNJ #array #testing #type inference
Dependent Array Type Inference from Tests (HZ, AVN, SJ), pp. 412–430.
MSR-2014-TulsianKKLN #algorithm #model checking #named
MUX: algorithm selection for software model checkers (VT, AK, RK, AL, AVN), pp. 132–141.
PLDI-2014-HurNRS #probability #slicing #source code
Slicing probabilistic programs (CKH, AVN, SKR, SS), p. 16.
POPL-2014-SharmaNA #program analysis #trade-off
Bias-variance tradeoffs in program analysis (RS, AVN, AA), pp. 127–138.
CAV-2013-ChagantyLNR #learning #relational #smt #using
Combining Relational Learning with SMT Solvers Using CEGAR (ATC, AL, AVN, SKR), pp. 447–462.
ESEC-FSE-2013-ClaretRNGB #analysis #data flow #using
Bayesian inference using data flow analysis (GC, SKR, AVN, ADG, JB), pp. 92–102.
ESEC-FSE-2013-KumarN #static analysis #tool support
The economics of static analysis tools (RK, AVN), pp. 707–710.
ESEC-FSE-2013-Nori0 #proving #termination #testing
Termination proofs from tests (AVN, RS), pp. 246–256.
ESOP-2013-SharmaGHALN #algebra #approach #data-driven #invariant
A Data Driven Approach for Algebraic Loop Invariants (RS, SG, BH, AA, PL, AVN), pp. 574–592.
ICML-c3-2013-GopiN0N
One-Bit Compressed Sensing: Provable Support and Vector Recovery (SG, PN, PJ, AVN), pp. 154–162.
POPL-2013-GordonABCGNRR #reasoning
A model-learner pattern for bayesian reasoning (ADG, MA, JB, GC, TG, AVN, SKR, CVR), pp. 403–416.
SAS-2013-0001GHAN #concept #geometry #learning #verification
Verification as Learning Geometric Concepts (RS, SG, BH, AA, AVN), pp. 388–411.
CAV-2012-SharmaNA #classification
Interpolants as Classifiers (RS, AVN, AA), pp. 71–87.
PLDI-2012-AlbarghouthiKNR #analysis #interprocedural #top-down
Parallelizing top-down interprocedural analyses (AA, RK, AVN, SKR), pp. 217–228.
PLDI-2011-BeckmanN #composition #probability #scalability #specification #type system
Probabilistic, modular and scalable inference of typestate specifications (NEB, AVN), pp. 211–221.
SAS-2011-NoriR #machine learning #program analysis
Program Analysis and Machine Learning: A Win-Win Deal (AVN, SKR), pp. 2–3.
ICSE-2010-NoriR #empirical #optimisation
An empirical study of optimizations in YOGI (AVN, SKR), pp. 355–364.
POPL-2010-GodefroidNRT #composition #power of #program analysis
Compositional may-must program analysis: unleashing the power of alternation (PG, AVN, SKR, ST), pp. 43–56.
SAS-2010-HarrisLNR #termination
Alternation for Termination (WRH, AL, AVN, SKR), pp. 304–319.
ICSE-2009-ChilimbiLMNV #debugging #effectiveness #named #performance #profiling #statistics
HOLMES: Effective statistical debugging via efficient path profiling (TMC, BL, KKM, AVN, KV), pp. 34–44.
PLDI-2009-LivshitsNRB #data flow #named #problem #specification
Merlin: specification inference for explicit information flow problems (VBL, AVN, SKR, AB), pp. 75–86.
SAS-2009-GulavaniCRN #analysis #bottom-up
Bottom-Up Shape Analysis (BSG, SC, GR, AVN), pp. 188–204.
TACAS-2009-NoriRTT #static analysis #testing
The YogiProject: Software Property Checking via Static Analysis and Testing (AVN, SKR, ST, AVT), pp. 178–181.
TAP-2009-NoriR #statistics #testing #verification
Verification, Testing and Statistics (AVN, SKR), pp. 6–9.
ISSTA-2008-BeckmanNRS #proving #testing
Proofs from tests (NEB, AVN, SKR, RJS), pp. 3–14.
TACAS-2008-GulavaniCNR #abstract interpretation #automation
Automatically Refining Abstract Interpretations (BSG, SC, AVN, SKR), pp. 443–458.
ESEC-FSE-2007-ChilimbiNV #effectiveness #performance #profiling #testing
Quantifying the effectiveness of testing via efficient residual path profiling (TMC, AVN, KV), pp. 545–548.
POPL-2007-VaswaniNC #profiling
Preferential path profiling: compactly numbering interesting paths (KV, AVN, TMC), pp. 351–362.
FSE-2006-GulavaniHKNR #algorithm #named
SYNERGY: a new algorithm for property checking (BSG, TAH, YK, AVN, SKR), pp. 117–127.
CAV-2019-PadhiMN0 #synthesis #theory and practice
Overfitting in Synthesis: Theory and Practice (SP, TDM, AVN, RS0), pp. 315–334.
OOPSLA-2017-AlbarghouthiDDN #named #probability #verification
FairSquare: probabilistic verification of program fairness (AA, LD, SD, AVN), p. 30.
POPL-2016-ZhangMNN #satisfiability
Query-guided maximum satisfiability (XZ, RM, AVN, MN), pp. 109–122.

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