Travelled to:
1 × USA
Collaborated with:
M.T.Vechev B.Bichsel S.Misailovic D.Dimitrov G.Singh M.Püschel Marco Cusumano-Towner V.K.Mansinghka P.Tsankov L.Vanbever Pascal Wiesmann
Talks about:
probabilist (4) program (3) infer (3) network (2) increment (1) abstract (1) certifi (1) bayonet (1) symbol (1) specif (1)
Person: Timon Gehr
DBLP: Gehr:Timon
Contributed to:
Wrote 6 papers:
- CAV-2015-GehrDV #commutative #learning #specification
- Learning Commutativity Specifications (TG, DD, MTV), pp. 307–323.
- ESOP-2018-BichselGV #fine-grained #probability #semantics #source code
- Fine-Grained Semantics for Probabilistic Programs (BB, TG, MTV), pp. 145–185.
- CAV-2016-GehrMV #named #probability #source code
- PSI: Exact Symbolic Inference for Probabilistic Programs (TG, SM, MTV), pp. 62–83.
- PLDI-2018-Cusumano-Towner18a #incremental #probability #source code
- Incremental inference for probabilistic programs (MCT, BB, TG, MTV, VKM), pp. 571–585.
- PLDI-2018-GehrMTVWV #named #network #probability
- Bayonet: probabilistic inference for networks (TG, SM, PT, LV, PW, MTV), pp. 586–602.
- POPL-2019-SinghGPV #abstract domain #network
- An abstract domain for certifying neural networks (GS, TG, MP, MTV), p. 30.