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Learning Generalized Gumbel-max Causal Mechanisms

Learning Generalized Gumbel-max Causal Mechanisms

11 November 2021
Guy Lorberbom
Daniel D. Johnson
Chris J. Maddison
Daniel Tarlow
Tamir Hazan
    CML
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Papers citing "Learning Generalized Gumbel-max Causal Mechanisms"

7 / 7 papers shown
Title
Evaluation of Large Language Models via Coupled Token Generation
Evaluation of Large Language Models via Coupled Token Generation
N. C. Benz
Stratis Tsirtsis
Eleni Straitouri
Ivi Chatzi
Ander Artola Velasco
Suhas Thejaswi
Manuel Gomez Rodriguez
51
0
0
03 Feb 2025
Counterfactual Token Generation in Large Language Models
Counterfactual Token Generation in Large Language Models
Ivi Chatzi
N. C. Benz
Eleni Straitouri
Stratis Tsirtsis
Manuel Gomez Rodriguez
LRM
34
3
0
25 Sep 2024
Counterfactual Influence in Markov Decision Processes
Counterfactual Influence in Markov Decision Processes
M. Kazemi
Jessica Lally
Ekaterina Tishchenko
Hana Chockler
Nicola Paoletti
23
1
0
13 Feb 2024
Towards Computationally Efficient Responsibility Attribution in
  Decentralized Partially Observable MDPs
Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
Stelios Triantafyllou
Goran Radanović
16
5
0
24 Feb 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Counterfactual Analysis in Dynamic Latent State Models
Counterfactual Analysis in Dynamic Latent State Models
Martin Haugh
Raghav Singal
CML
31
6
0
27 May 2022
Estimating Categorical Counterfactuals via Deep Twin Networks
Estimating Categorical Counterfactuals via Deep Twin Networks
Athanasios Vlontzos
Bernhard Kainz
Ciarán M. Gilligan-Lee
OOD
CML
BDL
26
16
0
04 Sep 2021
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