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 • 2 Nov 2024 • Rafał Karczewski, Markus Heinonen, Vikas Garg
We investigate what kind of images lie in the high-density regions of diffusion models.
1 code implementation • 31 Oct 2024 • Giangiacomo Mercatali, Yogesh Verma, Andre Freitas, Vikas Garg
We introduce a novel score-based diffusion framework named Twigs that incorporates multiple co-evolving flows for enriching conditional generation tasks.
no code implementations • 30 Sep 2024 • Jonathan D. Thomas, Andrea Silvi, Devdatt Dubhashi, Vikas Garg, Moa Johansson
On the symbolic side, we draw on work from library learning for proposing abstractions.
no code implementations • 12 Aug 2024 • Rafał Karczewski, Samuel Kaski, Markus Heinonen, Vikas Garg
Several generative models with elaborate training and sampling procedures have been proposed recently to accelerate structure-based drug design (SBDD); however, perplexingly, their empirical performance turns out to be suboptimal.
no code implementations • 5 Jun 2024 • Yogesh Verma, Amauri H Souza, Vikas Garg
Topological Neural Networks (TNNs) incorporate higher-order relational information beyond pairwise interactions, enabling richer representations than Graph Neural Networks (GNNs).
no code implementations • 27 May 2024 • Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg
Retrosynthesis, the task of identifying precursors for a given molecule, can be naturally framed as a conditional graph generation task.
no code implementations • 23 May 2024 • Marshal Arijona Sinaga, Julien Martinelli, Vikas Garg, Samuel Kaski
Such a model can be seamlessly integrated into the acquisition function, thus leading to candidate design pairs that elegantly trade informativeness and ease of comparison for the human expert.
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.
2 code implementations • 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.
1 code implementation • NeurIPS 2023 • Timur Garipov, Sebastiaan De Peuter, Ge Yang, Vikas Garg, Samuel Kaski, Tommi Jaakkola
A key challenge in composing iterative generative processes, such as GFlowNets and diffusion models, is that to realize the desired target distribution, all steps of the generative process need to be coordinated, and satisfy delicate balance conditions.
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 $x$.