Venue: Bharti 501 Abstract: As Language Model Systems (LMS) are deployed across an expanding range of applications, aligning them with human ethics has become crucial. Although recent works propose methods to… Read More »Lumos: A DSL for Language Model System Certification by Isha Chaudhary
Venue: Bharti501 Abstract: Fluorescence microscopy is limited by optics, fuorophore chemistry, and photon exposure, forcing trade-ofs in speed, resolution, and depth. In this talk, I will discuss my PhD research… Read More »Image decomposition with Fluorescence Microscopy Data by Ashesh
Speaker: Ms. Ajita Shree is a PhD student in the Department of Computer Science and Engineering at IIT Kanpur and will be joining EMBL-EBI, UK, as a postdoctoral researcher. Abstract: Recent… Read More »Deep generative models for single-cell and spatial genomics by Ajita Shree
Venue: Bharti501 Abstract: Understanding the algebraic complexity class VNP through alternative characterizations is a central theme in algebraic complexity theory, closely tied to the VP vs. VNP problem. While the… Read More »A new characterization of VNP via colored determinant by Dr. Prasad Chaugule
Venue: Bharti501 Abstract: In a digraph, a dicut is a cut where all the arcs cross in one direction. A dijoin is a subset of arcs that intersects each dicut.… Read More »Approximately Packing Dijoins Via Nowhere-Zero Flows by Dr. Ravi
Venue: SIT001 Abstract: The development of new reaction methodology could become a tedious task demanding both time and resources. The application of machine learning (ML) approaches for reaction optimization and… Read More »Molecular Machine Learning for Chemical Catalysis by Dr. Sukriti Singh
Venue: Bharti501 Abstract: Modern Internet-scale services must identify and mitigate customer-impacting incidents quickly. Despite the development of many Root Cause Analysis (RCA) algorithms—including recent LLM-assisted solutions—existing approaches struggle with the "long… Read More »Abstractions for expressive, extensible, and scalable root cause analysis by Vipul Harsh
Venue. Bharti 501 Abstract. We present TESSERA, a pixel-wise foundation model for multi-modal (Sentinel-1/2) earth observation time series that learns robust, label-efficient embeddings. Our goal with TESSERA is to make manipulating… Read More »TESSERA: Programming Petabytes of Earth Observations using Foundation Models by Prof. Anil Madhavapeddy
Abstract: Neuroscience and AI share a bottleneck: while one can build (artificial) or record (biological) complex networks, we struggle to explain their functional circuitry; i.e., how they compute. In this… Read More »Neural Circuit Discovery via Representation and Dynamics by Savik Kinger
Teams Link: MS Teams Abstract: The talk will focus on enabling autonomous actors, such as digital agents or robots, to take deliberative actions towards achieving their long horizon goals, in… Read More »Integration of Structured Reasoning and Data-driven Learning for Acting and Planning by Dr. Sunandita Patra
