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Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking
Nikil Roashan Selvam, Jay Baxter, Sophie Hilgard +4
Crowdsourced fact-checking systems have been adopted by major social media companies such as X, Meta, TikTok and Google with the aim of combating misleading information at scale wi…
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
Nikil Roashan Selvam, Amil Merchant, Stefano Ermon
In diffusion models, samples are generated through an iterative refinement process, requiring hundreds of sequential model evaluations. Several recent methods have introduced appro…
Mixtures of All Trees
Nikil Roashan Selvam, Honghua Zhang, Guy Van den Broeck
Tree-shaped graphical models are widely used for their tractability. However, they unfortunately lack expressive power as they require committing to a particular sparse dependency…
Certifying Fairness of Probabilistic Circuits
Nikil Roashan Selvam, Guy Van den Broeck, YooJung Choi
With the increased use of machine learning systems for decision making, questions about the fairness properties of such systems start to take center stage. Most existing work on al…
Local Linearity and Double Descent in Catastrophic Overfitting
Varun Sivashankar, Nikil Selvam
Catastrophic overfitting is a phenomenon observed during Adversarial Training (AT) with the Fast Gradient Sign Method (FGSM) where the test robustness steeply declines over just on…