no code implementations • ICML 2020 • Vikas Garg, Tommi Jaakkola
Our games take as input, e. g., UN resolution to be voted on, and map such contexts to initial strategies, player utilities, and interactions.
no code implementations • ICML 2020 • Vikas Garg, Tommi Jaakkola
Our games take as input, e. g., UN resolution to be voted on, and map such contexts to initial strategies, player utilities, and interactions.
no code implementations • 1 May 2024 • Fredrik Hagström, Vikas Garg, Fabricio Oliveira
They have been shown to outperform classical controllers in terms of energy cost and consumption, as well as thermal comfort.
no code implementations • 21 Apr 2024 • Yue Jiang, Changkong Zhou, Vikas Garg, Antti Oulasvirta
Present-day graphical user interfaces (GUIs) exhibit diverse arrangements of text, graphics, and interactive elements such as buttons and menus, but representations of GUIs have not kept up.
1 code implementation • 15 Apr 2024 • Yogesh Verma, Markus Heinonen, Vikas Garg
Climate and weather prediction traditionally relies on complex numerical simulations of atmospheric physics.
no code implementations • 24 Feb 2024 • Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki
This work introduces FMG, a field-based model for drug-like molecule generation.
1 code implementation • 26 Dec 2023 • Konstantinos Kogkalidis, Jean-Philippe Bernardy, Vikas Garg
We introduce a novel positional encoding strategy for Transformer-style models, addressing the shortcomings of existing, often ad hoc, approaches.
no code implementations • 31 May 2023 • Yogesh Verma, Markus Heinonen, Vikas Garg
Antibodies are Y-shaped proteins that neutralize pathogens and constitute the core of our adaptive immune system.
no code implementations • 12 Oct 2022 • Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
Generating new molecules is fundamental to advancing critical applications such as drug discovery and material synthesis.
1 code implementation • 29 Sep 2022 • Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Specifically, novel constructions reveal the inadequacy of MP-TGNs and WA-TGNs, proving that neither category subsumes the other.
no code implementations • 19 May 2022 • David Alvarez-Melis, Vikas Garg, Adam Tauman Kalai
We show that, while it may seem that maximizing likelihood is inherently different than minimizing distinguishability, this distinction is largely artificial and only holds for limited models.
1 code implementation • ICLR Workshop DeepGenStruct 2019 • John Ingraham, Vikas Garg, Regina Barzilay, Tommi Jaakkola
Engineered proteins offer the potential to solve many problems in biomedicine, energy, and materials science, but creating designs that succeed is difficult in practice.
no code implementations • NeurIPS 2018 • Vikas Garg
We introduce a framework to transfer knowledge acquired from a repository of (heterogeneous) supervised datasets to new unsupervised datasets.
no code implementations • NeurIPS 2017 • Vikas Garg, Tommi Jaakkola
Aggregative games provide a rich abstraction to model strategic multi-agent interactions.
no code implementations • NeurIPS 2016 • Vikas Garg, Tommi Jaakkola
Many real phenomena, including behaviors, involve strategic interactions that can be learned from data.
no code implementations • NeurIPS 2013 • Samory Kpotufe, Vikas Garg
We present the first result for kernel regression where the procedure adapts locally at a point $x$ to both the unknown local dimension of the metric and the unknown H\{o}lder-continuity of the regression function at $x$.