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Recent advancements in large language models (LLMs) have demonstrated impressive performance in generating molecular structures as drug candidates, which offers significant potential to accelerate drug discovery. However, the current LLMs overlook a
Externí odkaz:
http://arxiv.org/abs/2410.03138
Autor:
Kim, Minsu, Choi, Sanghyeok, Yun, Taeyoung, Bengio, Emmanuel, Feng, Leo, Rector-Brooks, Jarrid, Ahn, Sungsoo, Park, Jinkyoo, Malkin, Nikolay, Bengio, Yoshua
Amortized inference is the task of training a parametric model, such as a neural network, to approximate a distribution with a given unnormalized density where exact sampling is intractable. When sampling is implemented as a sequential decision-makin
Externí odkaz:
http://arxiv.org/abs/2410.01432
Autor:
Kim, Jiyeon, Lee, Hyunji, Cho, Hyowon, Jang, Joel, Hwang, Hyeonbin, Won, Seungpil, Ahn, Youbin, Lee, Dohaeng, Seo, Minjoon
In this work, we investigate how a model's tendency to broadly integrate its parametric knowledge evolves throughout pretraining, and how this behavior affects overall performance, particularly in terms of knowledge acquisition and forgetting. We int
Externí odkaz:
http://arxiv.org/abs/2410.01380
Autor:
Ahn, Jonghyeon
In this paper, we construct an $S^1$-equivariant version of the relative symplectic cohomology developed by Varolgunes. As an application, we construct a relative version of Gutt-Hutchings capacities and a relative version of symplectic (co)homology
Externí odkaz:
http://arxiv.org/abs/2410.01977
Autor:
Pfrommer, Daniel, Padmanabhan, Swati, Ahn, Kwangjun, Umenberger, Jack, Marcucci, Tobia, Mhammedi, Zakaria, Jadbabaie, Ali
Recent work in imitation learning has shown that having an expert controller that is both suitably smooth and stable enables stronger guarantees on the performance of the learned controller. However, constructing such smoothed expert controllers for
Externí odkaz:
http://arxiv.org/abs/2410.00859
This article investigates long-term orbits within the Earth's magnetosphere, specifically focusing on orbits where the argument of periapsis is synchronized with changes induced by lunar gravity assists and the Earth's argument of latitude over a com
Externí odkaz:
http://arxiv.org/abs/2409.19570
Recent advances in large language models (LLMs) have significantly impacted the domain of multi-hop question answering (MHQA), where systems are required to aggregate information and infer answers from disparate pieces of text. However, the autoregre
Externí odkaz:
http://arxiv.org/abs/2409.19382
For automatic human figure drawing (HFD) assessment tasks, such as diagnosing autism spectrum disorder (ASD) using HFD images, the clarity and explainability of a model decision are crucial. Existing pixel-level attribution-based explainable AI (XAI)
Externí odkaz:
http://arxiv.org/abs/2409.18260
Autor:
Ahn, Jeeho, Mavrogiannis, Christoforos
We focus on the problem of rearranging a set of objects within a confined space with a nonholonomically constrained mobile robot pusher. This problem is relevant to many real-world domains, including warehouse automation and construction. These domai
Externí odkaz:
http://arxiv.org/abs/2409.18231
Video anomaly detection (VAD) is a crucial task in video analysis and surveillance within computer vision. Currently, VAD is gaining attention with memory techniques that store the features of normal frames. The stored features are utilized for frame
Externí odkaz:
http://arxiv.org/abs/2409.16225