Illinois Computer Science Speaker Series - Public
Illinois Computer Science Speaker Series - Public
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Abstract: The physical world is rich in data and structure, yet our computational models often treat physics as a purely numerical process rather than an information…
Colloquium - Hadi Meidani, "Learning the…
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Abstract: Natural language provides an intuitive and flexible way for humans to communicate with robots. However, understanding diverse, ambiguous language commands is…
Colloquium - Jason Xinyi Liu, "Robotic…
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Tom Hope: "LLM Systems for Literature-Based Scientific Discovery" Abstract: There has been a recent surge of interest in LLM agents that propose new…
Colloquium - Tom Hope, Gabi Stanovsky, Roy…
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Abstract: The computing landscape is undergoing a profound shift. Growing demand, climate-driven volatility, and tight resource constraints are putting pressure on…
Special Seminar - Noman Bashir, "Rethinking…
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Abstract: First, we will argue for the need for fully transparent open-source large language models (LLMs), and we will describe the efforts of MBZUAI's Institute…
Colloquium - Preslav Nakov, “Towards Truly…
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Abstract: There has been much debate about rigor, transparency, and reproducibility of biomedical research in recent years. Ongoing efforts aim to address issues in…
Colloquium - Halil Kilicoglu, "Enhancing…
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Abstract: Testing and verifying concurrent software is challenging due to the vast number of possible thread interleavings. But many of these interleavings are…
Colloquium - Umang Mathur, “ Equivalences…
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Abstract: In the first part of my talk, I shall present the Hierarchical Memory Transformer (HMT), a novel large-language model (LLM) that is capability of processing…
DLS - Jason Cong, "Efficient LLMs: From…
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Abstract: Mixed Reality (MR) systems aim to create seamless, immersive experiences. Achieving this requires understanding how the user perceives the experience, how it…
Special Seminar - Yasra Chandio, "System…
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Abstract: In the era of foundation models and Large Language Models (LLMs), Euclidean space has been the de facto geometric setting for machine learning architectures.…
Colloquium - Rex (Zhitao) Ying, "A…
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Abstract: How can we design adaptive interventions that respond to the situational factors shaping people’s health and wellbeing—for example, a young parent…
Special Seminar - Ananya Bhattarcharjee,…
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Abstract: Creating intelligent machines capable of human-level (or superior) problem-solving has been a long-standing challenge for computer scientists. Meanwhile,…
Special Seminar - Kazuki Irie, "Rethinking…
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Abstract: Software performance engineering (SPE) is the science and art of making code run fast or otherwise limiting its consumption of resources, such as power,…
The Utpal Banerjee Distinguished Lecture in High…
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Abstract: Mental health conditions affect millions globally, yet traditional assessment methods rely on sporadic clinical visits that may miss important behavioral…
Special Seminar - Subigya Nepal, "Leveraging…
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Abstract: Recent advances in machine learning (ML) have revolutionized various fields by enabling systems to learn complex patterns, make intelligent decisions, and…
DLS - Masashi Sugiyama, "Towards Reliable…
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Special Seminar - Seth Flaxman
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Abstract: In this seminar, we will first introduce an efficient approximation method for the Wasserstein distance [1]. While the Wasserstein distance is a powerful…
Colloquium - Makoto Yamada, "Approximating…
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Abstract: Since the invention of personal computing devices, such as PCs and mobile devices, we have gained unprecedented access to the digital world. As Extended…
Special Seminar - Chang Xiao, "Bridging the…
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Abstract: Recently, AI has demonstrated its power in advancing science and engineering across different areas. Traditionally, AI technologies are mainly developed for…
Colloquium - Yizhou Sun, "AI for Science and…
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Colloquium - Fred Kjolstad,… 20 of 30
01:07:30duration 1 hour 7 minutes
Colloquium - Fred Kjolstad,…
Abstract: Computer scientists have always built languages and libraries to make it easier to write software for different domains. In the last decade, the demand for…Colloquium - Fred Kjolstad,…
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Abstract: COVID-19 has significantly affected the behavioural patterns of urban visitors. However, the non-linear relationships between visitor behaviour and built…
Colloquium - Kojiro Sho, "Unveiling Urban…
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Abstract: Do you love probability? But are you sad that all the good stuff was done 100+ years ago? Like, you'll never get to be Boole (1847) inventing the Union…
DLS - Ryan O'Donnell, "Wake Up Babe,…
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Abstract: During the past two years, my students and I have been designing, developing, and evaluating methods to enhance knowledge and reasoning capabilities of…
Colloquium - Meng Jiang, "Lessons Learned…
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Abstract: Theoretical CS is an important part of CS education and lays the foundations for understanding the inherent complexities of computational problems. Students…
Teaching Special Seminar - Harsha Tirumala,…
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Abstract: What qualities are most important in an instructor? How do we ensure student success? How do we create the best possible learning environment? Consistency,…
Teaching Special Seminar - Konstantinos Ameranis,…
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Abstract: Teaching lies at the heart of academia, and I believe it plays a direct role in shaping the success of an institution. In this talk, I hope to share, to the…
Teaching Special Seminar - Linh Nguyen,…
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Abstract: I will recount the story of my career in computing, mostly as an academic at the University of Illinois Urbana-Champaign since 1981. This story will include a…
Colloquium - Michael Loui, "My Career in…
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Abstract: Machine learning is revolutionizing technology and society. However, like any technology, it can be misused by adversaries and our understanding of the…
DLS - Patrick McDaniel, "Adversarial Machine…
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Abstract: Using data compression methods in the memory hierarchy can improve the efficiency of memory systems by enabling higher effective cache capacity, more effective…
DLS - Per Stenstrom, "Enabling Efficient…
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Abstract: In recent years, artificial intelligence (AI) has achieved great success in many fields. Although impressive advances have been made, AI algorithms still…
Colloquium - Yaoyao Liu, "Learning from…
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