Speaker: Surbhi Rajput, MSR Student, CSE Dept., IIT Delhi Abstract: In the (single stock) \emph{trading prophet} problem formulated by Correa et al.\ , an online algorithm observes a sequence of prices of a stock. At each step, the algorithm can either buy the stock by paying the current price if it doesn't already hold the… Read More »Trading Prophets: How to trade multiple stocks optimally

Speaker: Amolak Kalra (https://sites.google.com/view/amolakratankalra/home) Abstract: Efficient decomposition of a unitary operator U using words from a universal gate set G is a fundamental problem in quantum computing. The process by which this is achieved is called circuit synthesis. This problem arises naturally in the context of quantum circuit compilation. In this talk, I will introduce… Read More »Synthesis and Arithmetic of Quantum Circuits

Speaker: Dr. Manisha Luthra Agnihotri is the Deputy Head of the German Research Center for Artificial Intelligence (DFKI) in Darmstadt. It is an online talk. Please write to the CSE office to get the Teams link. Abstract: In this talk, I will outline my vision for next-generation, AI-enhanced data management systems through the lens of… Read More »Next-Generation AI-Enhanced Stream Processing

Speaker:  Dr. Rima Hazra Abstract: In this talk, we explore cutting-edge strategies for enhancing the safety and ethical alignment of large language models (LLMs). The research spans various approaches, including red teaming and jailbreaking techniques, which assess and improve model robustness and ethical integrity. We delve into how instruction-centric responses, when generated by LLMs, can increase… Read More »Enhancing Safety and Ethical Alignment in Large Language Models by Rima Hazra

Title: Giving Some Space Can Be Hard: Two New Models to Match Agents with Locations Speaker: Shivika Narang (UNSW Sydney) Abstract: There can be a multitude of reasons to match agents to specific locations in a given space. In this talk, we cover two: distributing delivery orders and assigning office spaces. For both settings, we… Read More »Giving Some Space Can Be Hard: Two New Models to Match Agents with Locations by Shivika Narang

Speaker: Dr. Arun Balajee Vasudevan is currently a Research Scientist at Amazon Abstract: Autonomous robots have several potential applications such as virtual assistants, VR/AR, gaming, self-driving technologies, city planning and others. To achieve autonomy, a robot needs to see and hear the environment, before it can converse or navigate favorably to perform a human-desired task.… Read More »Multimodal Learning in 3D environments: Perception, and Simulation

Speaker: Dr. Anshu Yadav, Postdoctoral Researcher, Institute of Science and Technology, Austria Abstract: In today's world, the rapid advancement of technology has led to the generation of vast amounts of sensitive data, which must be accessed in a secure and controlled manner to facilitate research across various domains. Often this data, associated with a single… Read More »Designing advanced cryptographic primitives in distributed settings

Abstract: Aggregating multiple input rankings over a set of candidates to generate a consensus ranking is one of the fundamental ranking problems, having many applications in social choice theory, hiring, college admission, web search, and databases. However, the optimal consensus ranking might be biased against any individual candidate or candidates belonging to certain marginalized communities… Read More »Rank Aggregation and Fairness by Diptarka Chakraborty